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60 Women-Led Startups That Are Shaking Up Tech Across The Globe

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Get to know RemotiveBroker’s gRPC API and how it simplifies prototyping, building & testing automotive software. Build software the way you want and in the programming language of your choice. We make things easier with a Python wrapper and the gRPC stubs available in a public repo on our GitHub. Get stuff done with our gRPC API Want to make a quick prototype using Python? Interested in Rust? The RemotiveBroker gRPC API can be used to read and write vehicle signal data in your language of choice. This means that you can use the tools you prefer to quickly build applications that depend on real vehicle signal data. Given a simple configuration and a signal database file, you can get to work right away with recorded data or inside a physical vehicle with live data. Use the same API regardless if you are working with recorded or live data, write your application once and test it on your desktop and inside a vehicle! You can reuse previously recorded drive cycles, e.g. in a deterministic ECU testing setup or when prototyping graphical user interfaces. Once you are satisfied with your work you can, in a true shift-left spirit, bring it to a test rig or physical vehicle knowing that the code has been tested. Paired with our collaboration platform, RemotiveCloud, you can quickly scale up your development efforts with multiple virtualized RemotiveBrokers! Get started with three lines of code Start a RemotiveBroker with three lines of code: $ git clone https://github.com/remotivelabs/remotivebroker-bootstrap.git
$ cd remotivebroker-bootstrap
$ docker-compose up -d Try our free 3-minute demo or check out some of our stuff on Github, e.g the APIs, simple samples, ProtoPie integration) and go to the repo for running the bootstrap RemotiveBroker on your desktop. What is a RemotiveBroker? The RemotiveBroker is a flexible developer tool that fit into most setups. it exposes vehicle signal data via a pub/sub gRPC API. We support the most common vehicle networks like CAN, Flexray, LIN, and Automotive Ethernet – enabled by .dbx, .xml (fibex), .ldf and .arxml. We also proved E2E Protection. Make it even easier with API wrappers and gRPC stubs We have a public repo for our wrappers and stubs. Anyone is welcome to submit a pull request with a wrapper in their favorite language, get started with our gRPC proto files. Our ambition is to have wrappers and stubs/clients available for everyone. Advantages of gRPC Given a simple configuration, the RemotiveBroker will expose a gRPC API that puts you in control. With the broad language support that gRPC has you can use what you prefer, e.g Node.js, Ruby, C# or Kotlin. gRPC leverages HTTP/2 and a binary message format, this helps to reduce network bandwidth and decrease latency. This allows our RemotiveBroker to send large amounts of data in real-time, like in the case of high-speed CAN & CAN-FD or FlexRay. Python wrapper We have a Python wrapper API for a subset of the RemotiveBroker API to make it even easier to build applications. It is also available for easy installation through the Python Package Index. This wrapper API makes it easier to perform common operations like connecting to a RemotiveBroker and setting up vehicle signal data subscriptions. Connect to a RemotiveBroker and set up a signal subscription: # Connect to RemotiveBroker
client = Client()
client.on_connect = lambda c: print(f"Yay! - connected as {c.client_id} to {c.url}")
client.on_signals = lambda signals: print(signals.to_json())
client.connect(url="http://localhost:50051")

subscription = client.subscribe(
signal_names=["Vehicle.Speed"],
namespaces=["vss"],
changed_values_only=False) Typescript and Javascript stubs/clients Since we are working with gRPC-web in our web clients, we have both Typescript and Javascript stubs/clients available for grpc-web. It is also available via npm/yarn. While not as useful as a proper wrapper API, the stubs/clients are required when working with gRPC. However, just looking at the stubs is helpful when exploring the API. Subscribe to frame frequency distribution: // Setup request
const config = new FramesDistributionConfig()
const namespace = new NameSpace()namespace.setName(namespaceName)
config.setNamespace(namespace)

// Subscribe
this._frameDistributionStream =  
this._networkServiceClient.subscribeToFramesDistribution(config) Our tooling and APIs are constantly evolving. Follow us on GitHub and LinkedIn to not miss out on more helpful developer content. If you have wishes or thoughts for what we should develop next don’t be a stranger! Get to know RemotiveBroker’s gRPC API and how it simplifies prototyping, building & testing automotive software. Build software the way you want and in the programming language of your choice. We make things easier with a Python wrapper and the gRPC stubs available in a public repo on our GitHub. programming language Get stuff done with our gRPC API Want to make a quick prototype using Python? Interested in Rust? The RemotiveBroker gRPC API can be used to read and write vehicle signal data in your language of choice. This means that you can use the tools you prefer to quickly build applications that depend on real vehicle signal data. Given a simple configuration and a signal database file, you can get to work right away with recorded data or inside a physical vehicle with live data. RemotiveBroker Use the same API regardless if you are working with recorded or live data, write your application once and test it on your desktop and inside a vehicle! You can reuse previously recorded drive cycles, e.g. in a deterministic ECU testing setup or when prototyping graphical user interfaces. Once you are satisfied with your work you can, in a true shift-left spirit, bring it to a test rig or physical vehicle knowing that the code has been tested. Paired with our collaboration platform, RemotiveCloud , you can quickly scale up your development efforts with multiple virtualized RemotiveBrokers! RemotiveCloud Get started with three lines of code Get started with three lines of code Start a RemotiveBroker with three lines of code: $ git clone https://github.com/remotivelabs/remotivebroker-bootstrap.git
$ cd remotivebroker-bootstrap
$ docker-compose up -d $ git clone https://github.com/remotivelabs/remotivebroker-bootstrap.git
$ cd remotivebroker-bootstrap
$ docker-compose up -d Try our free 3-minute demo or check out some of our stuff on Github, e.g the APIs , simple samples , ProtoPie integration ) and go to the repo for running the bootstrap RemotiveBroker on your desktop . free 3-minute demo APIs simple samples ProtoPie integration bootstrap RemotiveBroker on your desktop What is a RemotiveBroker? What is a RemotiveBroker? The RemotiveBroker is a flexible developer tool that fit into most setups. it exposes vehicle signal data via a pub/sub gRPC API. We support the most common vehicle networks like CAN, Flexray, LIN, and Automotive Ethernet – enabled by .dbx, .xml (fibex), .ldf and .arxml. We also proved E2E Protection. Make it even easier with API wrappers and gRPC stubs Make it even easier with API wrappers and gRPC stubs We have a public repo for our wrappers and stubs. Anyone is welcome to submit a pull request with a wrapper in their favorite language, get started with our gRPC proto files. Our ambition is to have wrappers and stubs/clients available for everyone. public repo Advantages of gRPC Advantages of gRPC Given a simple configuration, the RemotiveBroker will expose a gRPC API that puts you in control. With the broad language support that gRPC has you can use what you prefer, e.g Node.js, Ruby, C# or Kotlin. gRPC leverages HTTP/2 and a binary message format, this helps to reduce network bandwidth and decrease latency. This allows our RemotiveBroker to send large amounts of data in real-time, like in the case of high-speed CAN & CAN-FD or FlexRay. Python wrapper Python wrapper We have a Python wrapper API for a subset of the RemotiveBroker API to make it even easier to build applications. It is also available for easy installation through the Python Package Index. This wrapper API makes it easier to perform common operations like connecting to a RemotiveBroker and setting up vehicle signal data subscriptions. RemotiveBroker Python Package Index. Connect to a RemotiveBroker and set up a signal subscription: Connect to a RemotiveBroker and set up a signal subscription: # Connect to RemotiveBroker
client = Client()
client.on_connect = lambda c: print(f"Yay! - connected as {c.client_id} to {c.url}")
client.on_signals = lambda signals: print(signals.to_json())
client.connect(url="http://localhost:50051")

subscription = client.subscribe(
signal_names=["Vehicle.Speed"],
namespaces=["vss"],
changed_values_only=False) # Connect to RemotiveBroker
client = Client()
client.on_connect = lambda c: print(f"Yay! - connected as {c.client_id} to {c.url}")
client.on_signals = lambda signals: print(signals.to_json())
client.connect(url="http://localhost:50051")

subscription = client.subscribe(
signal_names=["Vehicle.Speed"],
namespaces=["vss"],
changed_values_only=False) Typescript and Javascript stubs/clients Typescript and Javascript stubs/clients Since we are working with gRPC-web in our web clients, we have both Typescript and Javascript stubs/clients available for grpc-web. It is also available via npm/yarn . While not as useful as a proper wrapper API, the stubs/clients are required when working with gRPC. However, just looking at the stubs is helpful when exploring the API. npm/yarn Subscribe to frame frequency distribution: Subscribe to frame frequency distribution: // Setup request
const config = new FramesDistributionConfig()
const namespace = new NameSpace()namespace.setName(namespaceName)
config.setNamespace(namespace)

// Subscribe
this._frameDistributionStream =  
this._networkServiceClient.subscribeToFramesDistribution(config) // Setup request
const config = new FramesDistributionConfig()
const namespace = new NameSpace()namespace.setName(namespaceName)
config.setNamespace(namespace)

// Subscribe
this._frameDistributionStream =  
this._networkServiceClient.subscribeToFramesDistribution(config) Our tooling and APIs are constantly evolving. Follow us on GitHub and LinkedIn to not miss out on more helpful developer content. GitHub LinkedIn If you have wishes or thoughts for what we should develop next don’t be a stranger!

Revolutionize Automotive Software Development with RemotiveBroker's gRPC API

RemotiveBroker-এর gRPC API-এর সাহায্যে অটোমোটিভ সফটওয়্যার ডেভেলপমেন্টে বিপ্লব ঘটান

Revolutionieren Sie die Entwicklung von Automobilsoftware mit der gRPC-API von RemotiveBroker

Revolucione el desarrollo de software automotriz con la API gRPC de RemotiveBroker

Révolutionnez le développement de logiciels automobiles avec l'API gRPC de RemotiveBroker

रिमोटिवब्रोकर के gRPC API के साथ ऑटोमोटिव सॉफ्टवेयर विकास में क्रांतिकारी बदलाव लाएँ

RemotiveBroker の gRPC API で自動車ソフトウェア開発に革命を起こす

RemotiveBroker의 gRPC API로 자동차 소프트웨어 개발에 혁명을 일으키세요

Revolucione o desenvolvimento de software automotivo com a API gRPC da RemotiveBroker

Произведите революцию в разработке автомобильного программного обеспечения с помощью gRPC API RemotiveBroker

RemotiveBroker'ın gRPC API'si ile Otomotiv Yazılım Geliştirmede Devrim Yapın

Cách mạng hóa việc phát triển phần mềm ô tô với API gRPC của RemotiveBroker

利用 RemotiveBroker 的 gRPC API 彻底改变汽车软件开发

**JERUSALEM, Israel, March 28th, 2024/Cyberwire/--**In 2023 alone, more than 10 customers and partners signed commercial agreements with C2A Security, including a global, long term enterprise agreement with an European Commercial Vehicle Manufacturer. C2A Security’s DevSecOps Platform, ‘EVSec’, has been gaining widespread traction as the automotive industry rushes to meet cybersecurity regulations and industry standards, such as UN Regulation No. 155, ISO/SAE 21434, Chinese GB Standards, and others. 2024 is a pivotal year for cybersecurity regulations in the automotive industry, as UN Regulation No. 155 goes into full effect. C2A Security’s EVSec risk-driven product security platform allows developers to focus on creative features and manage software and operations at scale, in an automated manner. EVSec automates archaic manual processes and enables cross-functional sharing and collaboration between teams, customers, and supply chains while offering full digital twin capabilities. EVSec applies continuous feedback from product operations and vulnerabilities to improve development and design, as part of agile software development. In 2023, C2A Security added multiple OEMs and Tier 1s to its portfolio of customers, successful evaluations, and partnerships such as Daimler Truck AG, BMW Group, Marelli, NTT Data, Siemens, and Valeo, among others. The collaboration with C2A Security supports the customers on the applicable standards and best practices for regulatory compliance. EVSec maps and automates the relevant standards and regulations, like ISO/SAE 21434 and UN Regulation No. 155, to simplify compliance efforts, which are essential to business success, as companies forge new grounds for their vehicles, develop innovative EV-powered vehicles, and plan for the EV infrastructure that supports them. “We’re thrilled that EVSec has proven so popular and effective, as companies like Daimler Truck AG choose it as its product security platform. Dealing with current and emerging regulatory demands, software development at scale and overall product security operations can be a limitation on business continuity of a company if not automated,” noted Roy Fridman, CEO, C2A Security. “At the end of 2023, we witnessed the first case of a premium car maker that stopped the sale of their most popular model in the European Union because it failed to comply with the regulation. To stay competitive companies must utilize advanced product security automation in their development and operations and we are excited to support them in achieving this goal.” Images available . here About C2A Security C2A Security is the only risk-driven DevSecOps Platform vendor that addresses the specific needs of car makers, Tier 1 suppliers, and mobility companies. Founded in 2016, C2A Security’s customers and technology partners include top-tier global players including Daimler Truck AG, BMW Group, Siemens, Valeo, ThunderSoft, Marelli, NTT Data, and Evvo Labs, among others. C2A Security transforms cybersecurity from being a company-wide limitation to a business value multiplier through advanced security automation and compliance to shorten software release times and decrease costs. Our vision is to turn product security into a seamless, automated, and transparent process, reducing time to deployment and costs of managing automotive software products and resources. C2A Security was founded by NDS/Cisco veteran Michael Dick, with its global headquarters in Jerusalem, Israel. . www.c2a-sec.com Contact Estee Yaari C2A Security estee.yaari@gmail.com This story was distributed as a release by Cyberwire under HackerNoon’s Business Blogging Program. Learn more about the program here.

EVSec Risk Management And Automation Platform Gains Traction In Automotive Industry 

An Autobiography of Anthony Trollope by Anthony Trollope is part of the HackerNoon Books Series. Read this book online for free on HackerNoon! : An Autobiography of Anthony Trollope Title : Anthony Trollope Author : June 1, 2004 [eBook #5978] Most recently updated: November 20, 2015 Release date : English Language TABLE OF LINKS PREFACE I.  MY EDUCATION, 1815-1834. II.  MY MOTHER. III.  THE GENERAL POST OFFICE, 1834-1841. IV.  IRELAND—MY FIRST TWO NOVELS, 1841-1848. V.  MY FIRST SUCCESS, 1849-1855. VI.  BARCHESTER TOWERS AND THE THREE CLERKS, 1855-1858. VII.  DOCTOR THORNE—THE BERTRAMS—THE WEST INDIES AND THE SPANISH MAIN. VIII.  THE CORNHILL MAGAZINE AND FRAMLEY PARSONAGE. IX.  CASTLE RICHMOND—BROWN, JONES, AND ROBINSON—NORTH AMERICA—ORLEY FARM. X.  THE SMALL HOUSE AT ALLINGTON—CAN YOU FORGIVE HER?—RACHEL RAY—AND THE FORTNIGHTLY REVIEW. XI.  THE CLAVERINGS—THE PALL MALL GAZETTE—NINA BALATKA—AND LINDA TRESSEL. XII.  ON NOVELS AND THE ART OF WRITING THEM. XIII.  ON ENGLISH NOVELISTS OF THE PRESENT DAY. XIV.  ON CRITICISM. XV.  THE LAST CHRONICLE OF BARSET—LEAVING THE POST OFFICE—ST. PAUL'S MAGAZINE. XVI.  BEVERLEY. XVII.  THE AMERICAN POSTAL TREATY—THE QUESTION OF COPYRIGHT WITH AMERICA—FOUR MORE NOVELS. XVIII.  THE VICAR OF BULLHAMPTON—SIR HARRY HOTSPUR—AN EDITOR'S TALES—CÆSAR. XIX.  RALPH THE HEIR—THE EUSTACE DIAMONDS—LADY ANNA AUSTRALIA. XX.  THE WAY WE LIVE NOW AND THE PRIME MINISTER—CONCLUSION. About HackerNoon Book Series: We bring you the most important technical, scientific, and insightful public domain books. This book is part of the public domain. Anthony Trollope (2004). An Autobiography of Anthony Trollope. Urbana, Illinois: Project Gutenberg. Retrieved https://www.gutenberg.org/cache/epub/5978/pg5978-images.html This eBook is for the use of anyone anywhere at no cost and with almost no restrictions whatsoever. You may copy it, give it away or re-use it under the terms of the Project Gutenberg License included with this eBook or online at , located at . www.gutenberg.org https://www.gutenberg.org/policy/license.html

An Autobiography of Anthony Trollope by Anthony Trollope - Table of Links

Let's learn about via these 24 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Automotive /Learn Repo 1. Electric Vehicles: to Buy or Not to Buy Electric Vehicles are Popular, but Should YOU Get One? 2. Designing an HMI in Automotive: A Stress-Free and Intuitive Way In 2020, sophisticated-car infotainment system designs are no longer impressive. Smartphone integration, voice assistance, recognition of driver distraction, assisted personalized driving, connected in-car payments can be easily taken for granted. With the rapid growth of automotive technologies, OEMs are being challenged to create HMIs that offer usability and ensure safety while standing out from the competition. Still, there are general rules that can be helpful to those interested in designing an HMI for connected cars and who are approaching this topic for the first time. 3. Top 10 Software Development Companies Working with Automotive AI Make choosing an AI software development partner easier for yourself: check out this top 10 selection of industry-approved teams. 4. Electric Cars: What Does the Future Hold? Better Batteries and Wireless Charging Electric Cars: What Does the Future Hold? 5. Automotive Industry Revolution: How BMW Leverages AR & VR in Car Production The main indicators of car competitiveness are price, quality, technical specifications, design, operating costs, and safety. In order to increase the competitiveness of automobiles, it is necessary to improve product development methods, introduce new design technologies, use computer capabilities, and mathematical modeling in all aspects of experimental design work. But the central aspect is to follow the latest technology trends. Important tools, such as AR and VR, are already widely used in the automotive industry. 6. SpaceX Technology May Have The Potential To Revolutionise The Future of Cars As the years have gone by, entrepreneur Elon Musk has undoubtedly become a household name. His broader visions, and not to mention wealth, has helped him to carve out a legendary mark in outer space and the automotive industry alike. 7. Electric Vehicles: Driving Towards a Sustainable Future With Artificial Intelligence Electric vehicles are redefining the automotive industry, and with supportive government policies and Artificial Intelligence, the future looks promising. 8. Why Hasn't Tesla Entered the Indian Market? The internet has been buzzing since Elon Musk announced that Tesla is coming to India next year. This is big news and not just for the people who are waiting to get their hands on a luxury electric car like Tesla but also for the entire electric vehicles (EV) industry in the country. 9. In-car Payment Systems Unlock New Opportunities for M2M Economy The full potential of in-car payment systems will be revealed in the machine-to-machine economy and a cooperative mobility ecosystem 10. How to Increase the Market Cap of Your Car Company The route to success in the automotive industry is a meticulous and ever-evolving process. 11. How the Rapid Demise of Entry-Level Cars has Increased Average Prices Why are manufacturers pushing entry-level cars out of production? Read and find out the reason why average car prices are rising. 12. Sensor-based Control in Cobots: Its Opportunities and Challenges Introduction of the very basic formulation of the major sensor-servo problem, and then presenting its most common approaches like touch-based, 13. How to Create an Image Processing App in 72 hours In November 2018, Volvo ran a hackathon that gathered talents from all over the globe to generate innovative ideas focused on undercarriage inspection automation. Our team created the best solution from scratch after 72 hours of live coding! Here’s how we did it. 14. Talking Cars: The Role of Conversational AI in Shaping the Future of Automobiles While self-driving cars remain a futuristic concept, ChatGPT will soon accompany drivers during their commutes through stimulating conversations. 15. The Future of Automotive Tech: Top Trends in 2023 Here’s a look at five of the biggest technology trends that will shape the automotive market in 2023. 16. Architecture Design of a Smart, Scalable, AI-driven Robotic Production Factory The core concepts of the architecture and design of a scalable, smart, robotics production factory is outlined. 17. Hydrogen Fuel Cell Vehicles are Not a Solution to Climate Change How is it that fuel cell vehicles using hydrogen as a fuel are touted as climate-friendly vehicles? California even subsidizes the purchase of a hydrogen fuel cell vehicle. The advocates never reveal the source of the hydrogen would most likely be coming as a byproduct of fracking in pursuit of natural gas. 18. The Hack to Driving Down Car Expenses A look at inflation's impact on gas and car insurance prices. 19. Tesla Stock Wears A Double Halo (Illustration: Mike Bloom) 20. Finding the Right Development Tool and Platform for a Vehicle HMI The key challenges and crossroads for selecting a platform and UI Development tool for an Automotive HMI system. 21. General Motor's Claims To Commercialise the Most Innovative Battery Technology GM has made the much-overlooked claim that by mid-decade, it expects to commercialize the most exotic of the stretch futuristic batteries currently on electric vehicle drawing boards. 22. How AI from Driver Technologies Company Helps To Protect the Motorists Across the world, more than 1.3 million people die in car accidents, and over 50 million people are seriously injured every year. That’s nearly 4,000 people each day. Drivers in developing nations are most at risk. Only 54% of the world’s motor vehicles are in developing countries, but 90% of the world’s fatal car accidents occur in those countries. Even within the wealthiest countries vehicle-related injury and death are directly correlated to personal and neighborhood incomes. 23. How To Build An OBD2 Reader For Car Diagnostics Full guide for car scanner ELM327 OBD2 reader app development. Connection, reading diagnostic data, and decoding vehicle errors. 24. Motor Vehicle Hacking: How Cybercriminals Hack Your Car Any system in a smart vehicle connecting to the Internet, fleet management software, or an EV charging network is a potential entry point for hackers. Thank you for checking out the 24 most read stories about Automotive on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

24 Stories To Learn About Automotive

Much has been made of digital transformation within the automotive industry, but the influence of reality technology has flown under the radar a little. However, is already cropping up throughout the industry with a series of exciting use cases that could herald a new era of driver safety and manufacturing efficiency. augmented reality The augmented reality (AR) market is set to surpass a value of , representing a CAGR of 46.8%. With such rapid growth anticipated, it’s inevitable that the technology will make its presence felt throughout the automotive industry. $97.76 billion by 2028 But how could AR help to improve the driving experience and road safety? Let’s explore five key reasons why augmented reality could bring vast improvements to the world of motoring: Heads-Up Navigation The role of augmented reality in the automotive industry is nothing new, and we can look back to Mercedes-Benz’s implementation of the technology in 2020 as a watershed moment in the utility of AR as a driving aid. Rather than using dashboard displays, Mercedes-Benz opted for an within its GLE model. This utility of augmented reality enabled the display of navigational instructions and information to be displayed over objects in real-time through a live camera view within the car’s dashboard. AR navigation screen The result was a driving experience that’s been unparalleled within the world of motoring. Drivers were treated to turning instructions, highlighted street names, addresses, and live terrain tracking to help provide more comprehensive levels of guidance without forcing the driver to look away from the road ahead. As continues to mature, we’re likely to see these heads-up navigational displays become more refined, helping to deliver live feedback in an unintrusive manner to help inform the decisions of drivers. augmented reality technology Augmented Car Manuals Augmented reality car manuals can be a great innovation for owners who could benefit from more visual and in-depth guidance on how to conduct maintenance on their vehicles. For tasks like replacing an air filter, AR manuals can offer to pave the way for flawless repair work. step-by-step immersive guidance This can also help owners to better acquaint themselves with their car’s functions through visual tutorials and actionable guides. could also be used in repairing damage to a vehicle. For instance, if a big data mechanism detects a cracked windshield, it could visually alert the driver to the crack, highlight the risk it poses, and suggest windshield crack repair options for owners to act on. This mechanism AR Showrooms There’s nothing more frustrating than having a customer visit a showroom to find that the model they’ve been researching isn’t in stock. With more cars offering vast ranges of features, colors, and mechanisms, it can be hard for interested customers to fully get to grips with the model they would like. This is where augmented reality and digital showrooms can come into play. By integraging of the vehicle and its correct mod-cons, customers can interact with their chosen car and add or remove features on the fly. detailed 3D renderings By exploring their chosen car in full augmented reality, it can vastly improve the customer experience throughout the buying process and pave the way for far greater satisfaction levels with the end result. Better Blindspot Control Another major benefit in terms of driver performance and safety comes in the form of augmented parking assistance and blindspot sensors. During the parking process, augmented reality can help to when reversing, adding an extra layer of protection when parking. This can also be applied to the blind spots concealed by the pillars between windows in a vehicle. By offering an augmented view of the objects around the driver when reversing, it can be a great asset in ensuring that no collisions can take place. visualize objects Enhanced Prototype Design Augmented reality can also be a major time-saving tool in the development of for new concepts. operational prototypes While modelling is a major part of the process, both augmented and virtual reality designers and endineers can offer more flexibility in modifying early-stage concepts and overcoming perceived limitations along the way. Reality technology can help to add new ideas on to a concept in the exact way they would appear on a physical model, helping to offer more creative freedom at less of a cost. Furthermore, both AR and VR can deliver different means of bench testing, helping to better explore prototypes, their functionality, and durability in the face of different simulated conditions. Welcoming Augmented Transformation The has been ripe for digital transformation when it comes to both the manufacturing process and ensuring the safety of drivers, but augmented reality stands as an opportunity to improve efficiency in these fields while also saving money in cases relating to manufacturing. automotive industry While much has been made of the growth of artificial intelligence, it may well be augmented reality that proves to be the smartest new tool at the disposal of manufacturers and motorists.

Automotive Augmentation: How AR is Changing the Driving Experience Forever

Tesla is here to stay and keep fighting for the electric car revolution —Elon Musk. Nikola Tesla doesn’t own Tesla. The 19th-century inventor discovered the properties of rotating electromagnetic fields, and there was no better way to pay homage to the pioneer than by naming the company after him. Elon Musk is not the founder but a Co-founder. But does being a co-founder not make you the founder? Let’s roll back the years of Tesla’s beginning. Tesla’s Beginning Martin Eberhard and Marc Tarpenning met at Wyse Technology a few years before they found on July 1, 2003, at 845 Oak Grove Avenue in Menlo Park. Tesla Their inspiration came from General Motors' aborted car line EV1 which ran between 1996-1999, and AC propulsion all-electric cars. Ian Wright joined the same year. As they sought investment for their new company, they were recommended to Elon Musk, who readily invested $6.5 million of the total $7.5 million received in February 2004. Elon became the largest shareholder and chairman of the company. Harold Rosen took J.B. Straubel to Elon Musk to help pitch his all-electric plane. Musk didn’t show interest, so Straubel grabbed the opportunity to pitch how all-electric cars could work with lithium-ion battery technology. Musk got shocked by this discovery because he had always thought ultracapacitors were the only way to go electric. Musk encouraged Straubel to join . He joined in May 2004. Tesla These five became the company’s Co-founders. Musk spearheaded Tesla’s second round of investment and secured $13 million in 2005. And the third round of investment was in May 2006. He raked in $40 million by encouraging his friends, Google Co-founders Larry Page, and Sergey Brin, to invest. Jeff Skoll, former president of , was among its investors. eBay In 2006, the Roadster prototype was launched. The company’s first product that’s capable of incurring profits. Before now, investors money powered the company. Power, Money, And Survival A leadership tussle struck Tesla before Roadster’s launch. The board asked Eberhard to step down as CEO in 2007. He then took the title of President of Technology and remained on the advisory board but left in 2008. Tarpenning, unsatisfied with the situation, left a month after. Michael Marks became CEO temporarily in August 2007 after Eberhard stepped down, then Ze’ev Dvori took over permanently in December 2007. He’s recognized for the successful launch of Roadster, selling over 2,500 Roadsters at $109,000- $200,000. Musk became CEO in October 2008 and laid off 20% of its workers due to the financial crisis. The crisis ate so deep that Tesla was on the verge of bankruptcy till Daimler AG bought 10% of its stake for $50 million in May 2009, and the US Department of Energy gave a $465 million loan by June 2009. On June 29, 2010, because it needed as much capital as possible. Tesla entered the US Stock and raised $226 million, $17 per share, in its IPO The company survived this financial crisis. The Lightyears In 2012, Roadsters production stopped, and the focus was on producing Model S. to begin Model S production. Tesla bought a 5.3-million-square-foot plant from Toyota for $42 million The Roadster had three versions in 2007, 2011, and 2013 but the Model S luxury sedan came with a different structure. Model S had its battery pack underneath, which created more space at the rear compared to Roadster. This structure improved its handling due to its low center of gravity. The 2012 car is aimed at entering the mainstream consumer market, unlike the Roadster which is seen as the billionaire's play toy. The model received several automotive and environmental awards, , which also named it “the best car ever tested.” a near-perfect score of 99 out of 100 from Consumer Reports Superchargers station, its first freestanding charging station, was introduced on September 24, 2012, with six stations opened in California. Today, it operates more than 45,000 supercharger stations at over 5,000 sites worldwide, including 1,966 in North America, 985 in Europe, and 2,069 in the Asia/Pacific region. From 2014, autopilot drive was available in Model S and subsequent products. released the Model X, a vehicle built on a car chassis but with features of a sport-utility vehicle in 2015. The crossover vehicle has a maximum battery range of about 340 miles (547 km) and seats up to seven. Tesla In April 2015, Tesla entered the energy storage market, unveiling its Tesla Powerwall and battery packs. The company received orders valued at $800 million within a week of the unveiling. Tesla bought Solar City in August 2016 for $2.6 million and entered the photovoltaics market. From this moment, they could directly make their equipment. The Roadster maker launched the Model 3 as an affordable sedan for the mass consumer market in 2016. Tesla aimed to own a product line of Model S, E, X.  Originally named Model E, Model 3 became its official name because another company threatened to sue them over rights. . Model 3 became an all-time bestselling plug-in electric car worldwide and the first to sell 1 million units globally in June 2021. Musk, excited by the sales prospect of the car, announced that the second half would deliver 200,000 vehicles in 2017 Tesla opened its first Gigafactory in 2016 outside Reno, Nevada. Gigafactories are where Tesla produces its batteries and vehicles. It built these large factories in Buffalo, New York, and Shanghai, China, and more Gigafactories were planned. Tesla batteries can last 300,000 to 500,000 miles, with major companies now using them for their projects. Grohmann Automation was acquired for 109.5 million in January 2017. Tesla also acquired companies such as Riviera Tool, Perbix, Compass Automation, Hibar Systems, and German ATW Automation for their automation expertise, along with Maxwell Technologies and SilLion for battery technology. In 2017, because they’re no longer just a car company; they’re a provider of energy solutions across many sectors. They deal with electric vehicles, battery energy storage systems, and solar power generation. Tesla Motors changed to Tesla Conflict and Lawsuits Tesla has faced over 1000 lawsuits. Eberhard’s got a fight in him. He sued Tesla for forcing him out of the company, including libel and slander, in June 2009. . The company blamed supply chains. It soon became the bestselling electric car. Musk's failed prediction of Model 3 delivery cost them 5%, that’s over $2 billion in 2017 as investors began to dump their stocks Further problems came for Tesla in August 2018 when Musk tweeted that he was planning to take the company private at $420 and that he’s secured funds for that. Investors began to trade their stock before the privatization buyback occurred. The stock price went up by 10%. And SEC fined the company and Musk for misleading information and ruled that Musk's tweets must now pass through the company’s attorney. The company removed Musk as Director of the Board, and Robyn Denholm took over, but Elon remained Tesla’s CEO. Cost of Tesla and Vision 2020 Tesla released another crossover, the Model Y, in 2020. The Model Y was smaller and less expensive than the Model X and shared many of the same parts as the Model 3. Tesla Semi Truck came into the market in 2022. PepsiCo, Disney, Mecca, and Sons are among its customers. The electric trucks can go 0-60 mph in five seconds without cargo and in 20 seconds while carrying 80,000 pounds of cargo. It has an innovative cabin design with impact-resistant glass. And can travel 400 miles on a 30-minute charge. Tesla Cybertruck is an upcoming all-electric pickup soon to be released in 2023. The under $40,000 exoskeleton design truck will come in three variations, with battery ranges of 250, 350, and 500 miles. The truck's speed is 0 to 60 mph in 2.9 seconds. Tesla plans to release a new version of its classic Roadster model, offering a 0-60mph time of 1.9 sec with 737 lb-ft of torque. Cost Of Tesla’s Vehicles $88,490, Plaid $108,490. Model S Model 3 $53,240, LR $47,240 Wheel Drive $40,240 Model X $98,490, Plaid $108,490 Model Y LR $50,490, Performance $54,490, All Wheel Drive $47,740 Tesla’s Annual Revenue Since 2008 2008    $15 million 2009    $112 million 2010    $117 million 2011    $204 million 2012    $413 million 2013    $2.01 billion 2014    $3.2 billion 2015    $4.05 billion 2016    $7 billion 2017    $11.76 billion 2018    $21.46 billion 2019    $24.58 billion 2020    $31.54 billion 2021    $53,823 billion 2022    $81.46 billion Bottom Line The number one electric vehicle company now faces competition from BYD, General Motors, Ford, and Mercedes-Benz as the shift to greener vehicles continues. Tesla has changed how cars are made yet has not slowed down on its innovations. The company’s market cap, which once hit the trillion dollar mark, will be back there in a few months as we’re sure of an eventful 2023.

How Tesla Emerged And Disrupted The Automotive Industry

The Life of the Fly; With Which are Interspersed Some Chapters of Autobiography by Jean-Henri Fabre is part of the HackerNoon Books Series. Read this book online for free on HackerNoon! : The Life of the Fly; With Which are Interspersed Some Chapters of Autobiography Title : Jean-Henri Fabre Author : Alexander Teixeira de Mattos Translator : September 1, 2002 [eBook #3422] Most recently updated: January 23, 2013 Release date : English Language Table of Links CHAPTERS THE HARMAS THE ANTHRAX ANOTHER PROBER (PERFORATOR) LARVAL DIMORPHISM HEREDITY MY SCHOOLING THE POND THE CADDIS WORM THE GREENBOTTLES THE GREY FLESH FLIES THE BUMBLEBEE FLY MATHEMATICAL MEMORIES: NEWTON'S BINOMIAL THEOREM MATHEMATICAL MEMORIES: MY LITTLE TABLE THE BLUEBOTTLE: THE LAYING THE BLUEBOTTLE: THE GRUB A PARASITE OF THE MAGGOT RECOLLECTIONS OF CHILDHOOD INSECTS AND MUSHROOMS A MEMORABLE LESSON INDUSTRIAL CHEMISTRY About HackerNoon Book Series: We bring you the most important technical, scientific, and insightful public domain books. This book is part of the public domain. Jean-Henri Fabre (2002). The Life of the Fly; With Which are Interspersed Some Chapters of Autobiography. Urbana, Illinois: Project Gutenberg. Retrieved October https://www.gutenberg.org/cache/epub/67000/pg67000-images.html This eBook is for the use of anyone anywhere at no cost and with almost no restrictions whatsoever. You may copy it, give it away or re-use it under the terms of the Project Gutenberg License included with this eBook or online at www.gutenberg.org , located at https://www.gutenberg.org/policy/license.html .

The Life of the Fly; With Which are Interspersed Some Chapters of Autobiography by Jean-Henri Fabre 

While self-driving cars remain a futuristic concept, ChatGPT will soon accompany drivers during their commutes through stimulating conversations. General Motors, a leading automobile manufacturer, recently to incorporate one of the world’s most powerful conversational AI technology, ChatGPT in their cars. The new infotainment system would integrate ChatGPT in a manner that makes it possible to act as an in-car virtual assistant, enabling drivers to communicate with their vehicles. announced plans “The chatbot could be used to access information on how to use vehicle features normally found in an owner's manual, program functions such as a garage door code, or integrate schedules from a calendar,” GM Vice President Scott Miller said in an interview. Miller confidently stated that So far, they are the first automobile manufacturer to use ChatGPT in their vehicles. Though and have already found their way into cars, their comparatively limited capabilities pale in comparison to the multifarious abilities of ChatGPT, which has emerged as a dominant force in various other domains, and it probably won’t be long until we start seeing other early adopters. “ChatGPT will be in everything.” Alexa Google Assistant Of greater significance is the fact that while this development seems to be a nudge towards a more pleasurable future, it also raises questions of how 'conversational AI in cars' will affect not only the automotive industry but also society at large. Balancing Convenience and Protection The global in-car infotainment industry, according to , was valued at $21,410 million in 2020 and is expected to reach $37,530.4 million by 2028. The fast-paced development and emphasis on the in-car experience are a reflection of customer demands for comfort, convenience, and leisure. Allied Market Research However, one of the critical issues surrounding conversational AI technology is privacy and security. While it may seem like a convenient feature, allowing drivers to interact with their cars can also be a significant privacy and security risk. Conversational AI technology relies on natural language processing, which means that the system has to analyze and understand the driver's speech. This analysis may involve the collection of personal data that could be vulnerable to cyber-attacks or data breaches. As conversational AI in cars becomes more prevalent, it is important for the automotive industry to balance the convenience and pleasure of in-car infotainment with the protection of personal information and cybersecurity measures. Data security expert and technology attorney, Justin Daniels speaking to HackerNoon said, “Cars today have so many sensors, microphones, and even cameras that all collect so much data. It goes far beyond just the GPS system. CarPlay, Bluetooth, and other systems know when you make or receive a call, as well as who you're talking to, and sometimes they can even tell when and how you pushed the pedals.” Now that ChatGPT is coming to cars, doesn’t that even make it more alarming? Justin believes that for every good use of technology, there are dozens of malicious uses. For instance, he said, “Data collected from the OnStar infotainment system in ’s car provided important information in his murder trial, and that’s great. But what if an ex-spouse, disgruntled employee, or stalker is tracking you by accessing information from your car?” Alex Murdaugh While people say “just turn off the location services on your phone,” he continued, "what good is that if all the technology in your car is tracking you?" This raises important questions about not only privacy but also the potential misuse of personal data collected by vehicles. According to Justin, “Security can't be an afterthought; it has to be a design feature. Our lives are on the line. People assume these big companies like Tesla are better at cyber and privacy than we think they are. They're dead wrong.” As technology continues to advance, the importance of prioritizing security in design will only increase. The Paradoxical Duality of Progress: Benefits and Setbacks While the use of conversational AI in automobiles is a significant step forward in the quest for more intelligent and user-friendly driving experiences, the use of the technology presents a paradoxical duality of progress, offering both benefits and setbacks. Speaking to , GM’s vice president highlighted some of the benefits that could come with this technology. He contends that ChatGPT in automobiles could advance technology beyond the basic voice commands present in today's vehicles. It might assist a driver with changing a tire, running diagnostics, or even scheduling an appointment. Semafor Experts say that this is not without setbacks. Inaccuracy is one of the primary setbacks with using conversational AI in Automobiles, according to Gulroz Singh, Sr. Safety Architect at NXP Semiconductor. In response to HackerNoon, he said “GPT-3 is found to have factual accuracy of around 85% which is not considered safe enough according to any state-of-the-art automotive safety standard. If drivers rely on conversational AI to make real-time decisions on the road using conversational AI which does not produce factually correct output 100% of the time, it could have serious implications for the drivers as well as the pedestrians.” Following his thoughts on LLMs' occasional inaccuracies, Gulroz also expressed concerns about the accountability in these systems. He believes that a question worth answering is, “Who will be responsible if the AI provides inaccurate information? Is it the driver, the vehicle manufacturer, the infotainment system provider, or the software engineer who worked on the training of the AI model?“ Gulroz referenced a concept called 'Moral crumple zone', which was introduced by Madeleine Clare Elish in a 2016 to describe how an action may be mistakenly attributed to a human actor who had little influence over the actions of an automated or autonomous system. This a classic example of avoiding culpability in the event that the AI system does something that, in his opinion, harms the driver or any other actor on the road. paper Other concerns expressed by experts include the possible over-reliance on AI-leading to complacency and reduced situational awareness-and potential driver distraction which may have adverse outcomes. For starters, the CEO of Vulse - AI Platform, Rob Illidge, remarked “An overexcited AI system may distract drivers making things less safe, especially when it doesn't understand what we're saying, leading to more frustrated arguments with our virtual friends.” Similar to any technology, errors or malfunctions could also impact the vehicle's safe operation or the accuracy of the AI's responses. Disruptive Impacts in other Sectors The ramifications of conversational AIs like ChatGPT extends beyond the auto industry. In reality, the technology has the potential to disrupt and innovate numerous other sectors. According to , conversational AI is one of the AI fields with the most patent applications in the past year. It is anticipated that the market for conversational AI, which includes chatbots and intelligent virtual assistants, would increase at a of 22% between 2020 and 2025, reaching roughly US$14 billion. Deloitte Insights CAGR ChatGPT has already revolutionized markets, but that’s not all. It seems to be coming for every industry, and many companies are rushing to become early adopters in the industry they represent. Microsoft already it was going to embed OpenA’sI ChatGPT features into all of its products, a plan it has already started to implement. search engine said Customer service is another industry where ChatGPT is making its presence felt. The technology that underpins ChatGPT is already utilized by a number of businesses, including Meta, Canva, and Shopify, in their customer care chatbots, according to a Using GPT-3.5, the massive language model that serves as the foundation of ChatGPT, Ada, a Toronto-based company that automates around 4.5 billion customer care conversations, has partnered with OpenAI to increase the usefulness of customer service chatbots, the report noted. Ada's chatbots are accessible on apps like WeChat, WhatsApp, and Facebook Messenger, and are supported by $200 million from investors. Forbes report. There are numerous additional use cases in various different industries. On February 21, 2023, Bain & Company, a leading management consulting firm, its collaboration with OpenAI to incorporate technologies such as ChatGPT into its management systems, research, and processes. The partnership has been underway for the past year. Additionally, the company announced that Coca-Cola would become the first major consumer product company to utilize the system. revealed In the e-commerce industry, ChatGPT is also becoming a capable tool. Major players in this sector, such as , a popular consumer-oriented e-commerce platform, and , a food delivery and pickup service, have recently integrated ChatGPT AI as a shopping assistant. This enables the AI to assist customers in searching for products and offer personalized recommendations based on their preferences. Shopify Instacart The relevance of ChatGPT can be seen in the social media and messaging app industries as well. Cloud-based software provider, Salesforce recently that it would add ChatGPT to Slack, its workplace messaging app, in order to use AI to deliver conversation summaries, research tools, and writing support. On February 27, 2023, Snapchat also out a new AI feature called My AI on Snapchat+. My AI is a new chatbot running the latest version of OpenAI's GPT technology, allowing its millions of subscribers access to the AI, right on the app. declared rolled The Future Implications of Conversational AI on the Automobile Industry The race for chatbot technology became fiercer after Microsoft earlier this year its intention to invest multi-billion dollars in ChatGPT-owner OpenAI, with a stated aim to add the chatbot's technology into all its products. Google quickly responded with its own chatbot, . announced Bard The recently unveiled voice-activated chatbot by General Motors is using Microsoft's Azure cloud service, demonstrating Microsoft's ambition to rule the chatbot business. With Google's application of virtual assistant in automobiles only going as far as the basic Google Assistant at the moment, this new breakthrough could keep Microsoft one step ahead of Google in the chatbot sector. purportedly But while Microsoft and Google appear to be in more direct competition for conversational AI, other major tech companies like Amazon have been stepping up their efforts to integrate voice chat technology into cars. According to a TechCrunch , Voice recognition is expected to be an essential feature in future autonomous vehicles, which will see drivers ultimately surrendering the ability to control the car mechanically. Experts predict that conversational AI-powered automobiles may become increasingly common in the future. report “We can expect to see cars evolving into more comprehensive personal assistants, with AI systems handling everything from navigation and entertainment to vehicle diagnostics and remote control. In the future, conversational AI may also be integrated with other emerging automobile technologies like self-driving capabilities, creating a seamless and advanced driving experience.” Ilampooranan Padmanabhan, Solution Delivery Manager at Nets Group, mentioned to HackerNoon. This novel idea also opens up a market with enormous growth potential and business opportunities for investors and entrepreneurs alike. Adopting this technology can give automakers a competitive edge, according to Gulroz Singh, it is another business model that automakers are attempting to exploit. He clarified his statement further by saying, “Firstly, vehicle manufacturers are going to sell this as an add-on subscription in their top models to make a profit off their high-end buyers. Secondly, the acquisition of copious amounts of customer data from constant listening can be potentially used for ads business which can be lucrative. And lastly, the analysis of customer conversation data helps in understanding customer behavior and psyche leading to faster lead generation in the sales process.” Conversational technology, he continued, could also evolve into other IoT devices such as smartwatches, smartphones, and smart keys which would become conversational connections and endpoints to vehicles.

Talking Cars: The Role of Conversational AI in Shaping the Future of Automobiles

টকিং কার: অটোমোবাইলের ভবিষ্যত গঠনে কথোপকথনমূলক এআই-এর ভূমিকা

Sprechende Autos: Die Rolle der Konversations-KI bei der Gestaltung der Zukunft des Automobils

Coches parlantes: el papel de la IA conversacional en la configuración del futuro de los automóviles

Talking Cars : le rôle de l'IA conversationnelle dans l'avenir de l'automobile

टॉकिंग कार्स: ऑटोमोबाइल्स के भविष्य को आकार देने में संवादी एआई की भूमिका

しゃべる車: 自動車の未来を形作る会話型 AI の役割

말하는 자동차: 자동차의 미래를 형성하는 대화형 AI의 역할

Carros falantes: o papel da IA conversacional na formação do futuro dos automóveis

Konuşan Arabalar: Otomobillerin Geleceğini Şekillendirmede Konuşmaya Dayalı Yapay Zekanın Rolü

Ô tô biết nói: Vai trò của AI đàm thoại trong việc định hình tương lai của ô tô

会说话的汽车：对话式人工智能在塑造汽车未来中的作用

Cars have come a long way in the past couple of decades. Once-cutting-edge technologies like backup cameras and blindside sensors are now standard, and the industry’s not done evolving yet. Several growing tech trends today promise to reshape road transportation as we know it. If you drive anything made in the past few years, you’re basically riding around in a big computer on wheels. It should come as no surprise, then, that car tech is advancing just as quickly as the gadgets you keep in your home. Here’s a look at five of the biggest of these trends that will shape the market in 2023. 1. Electrification Electric vehicles (EVs) are easily the biggest automotive trend of recent years, and that will continue to be the case in 2023. Tesla may have kickstarted the modern EV wave, but it’s far from the only player today. At least could hit the market by the end of the year from familiar names like Chevy, GMC, Honda and Kia. a dozen new EVs Pressure to go green is rising across industries, leading many automakers to pledge to be fully electric within the next decade or two. With battery technology getting cheaper and more efficient virtually every day, that goal is also getting closer and closer to reality. You can expect almost every major car company to at least announce something electric within the coming years. Most of these will be battery-electric vehicles (BEVs), but hydrogen-powered fuel cell EVs (FCEVs) will slowly become more common, too. 2. Autonomous Features Self-driving features are another car tech trend to keep an eye on. Making a safe, reliable, fully autonomous vehicle is remarkably complicated, so don’t expect to drive without ever touching the wheel quite yet. However, autonomous features like lane assist and automatic parking will become more common and functional this year. Mercedes just to offer Level 3 autonomous driving in the U.S. That means these cars can do many basic driving functions — namely, parking, steering, braking, accelerating and navigation — all on their own. You’d still need to take over at higher speeds or more complex driving situations, but you can enjoy most of the journey hands-free. became the first automaker This achievement is a major step forward for self-driving cars, so it’ll make quite a splash in the auto market. You can safely assume similar self-driving features will premier in vehicles from other automakers before long. 3. The Connected Car The internet of things (IoT) is also making its way into the automotive market. People bought for the first time last year, marking a turning point for car technology. more connected cars than non-connected ones What constitutes a connected car varies between models. Some give you a built-in Wi-Fi network so you can stream music or use navigation services without eating up your mobile data. Others connect to a dedicated app to let you start the car, lock the doors, and more from your phone. Having a dedicated app for your car can also make it easier to take care of its maintenance. IoT sensors in the vehicle can notify you on your phone when it’s time to replace or repair some parts. Considering some repairs can cost , those early warnings can save you a lot of money. up to $7,000 in some cases 4. Built-in AI Another trend you may recognize from your home electronics you’ll start to see in cars is AI. Artificial intelligence is , but that’s not the only way vehicles will use this technology in 2023. what makes driverless cars possible More cars today are coming out with smart assistants as part of the vehicle. Several models from Fiat Chrysler , and some car companies, like Mercedes, have developed their own voice-activated smart assistants. With these AI tools, you can control things throughout your car like adjusting your music or opening garage doors while keeping your hands on the wheel. have Amazon Alexa built-in AI is making its way into cars in less showy ways, too. Smart features can detect if you may be tired and alert you to focus on the road or pull over. Some automakers are using the technology to personalize vehicles to customers’ tastes. 5. Shared Mobility Some car tech trends are more about how we use cars than the vehicles themselves. That’s the case with shared mobility, where you use services like ride-hailing and shared ownership instead of owning a car outright. People book on the two biggest ride-hailing services every day. More than half of people would share a ride with someone else if it cut costs without adding much travel time. As these trends expand, you can expect apps like Uber and online services offering shared vehicle ownership models to grow. more than 40 million trips Technologies like 5G networks and smart city infrastructure make these services and new ownership models more practical. As they become more common, shared mobility will take up a bigger part of the automotive market. 2023 Could Be a Big Year for Car Tech These five trends highlight how there are some big changes on the horizon for the auto industry. Car tech is advancing rapidly, so you can expect many significant changes in the coming year. While the specifics of these trends may still be a little uncertain, one thing is for sure — cars at the end of 2023 will be a far cry from those a decade ago.

The Future of Automotive Tech: Top Trends in 2023 

AUTOBIOGRAPHY

The Autobiography of Charles Darwin by Charles Darwin, is part of the HackerNoon Books Series. Read this book online for free on HackerNoon! : The Autobiography of Charles Darwin Title : Charles Darwin Author : Sir Francis Darwin Editor : December 1, 1999 [EBook #2010] Release Date : English Language Table of Links CAMBRIDGE 1828-1831. “VOYAGE OF THE ‘BEAGLE’ FROM DECEMBER 27, 1831, TO OCTOBER 2, 1836.” FROM MY RETURN TO ENGLAND (OCTOBER 2, 1836) TO MY MARRIAGE (JANUARY 29, 1839.) FROM MY MARRIAGE, JANUARY 29, 1839, AND RESIDENCE IN UPPER GOWER STREET, TO OUR LEAVING LONDON AND SETTLING AT DOWN, SEPTEMBER 14, 1842. RESIDENCE IN UPPER GOWER STREET, TO OUR LEAVING LONDON AND SETTLING AT DOWN, SEPTEMBER 14, 1842.RESIDENCE AT DOWN FROM SEPTEMBER 14, 1842, TO THE PRESENT TIME, 1876. MY SEVERAL PUBLICATIONS. WRITTEN MAY 1ST, 1881 About HackerNoon Book Series: We bring you the most important technical, scientific, and insightful public domain books. This book is part of the public domain. Charles Darwin (1991). The Autobiography of Charles Darwin. Urbana, Illinois: Project Gutenberg. Retrieved October 2022, from https://www.gutenberg.org/cache/epub/2010/pg2010-images.html This eBook is for the use of anyone anywhere at no cost and with almost no restrictions whatsoever. You may copy it, give it away or re-use it under the terms of the Project Gutenberg License included with this eBook or online at www.gutenberg.org , located at https://www.gutenberg.org/policy/license.html .

The Autobiography of Charles Darwin by Charles Darwin - Table of Links

There are several articles on "how to check in Java whether a number is Automorphich or not" which you can find on the Internet including some from popular websites like GeeksforGeeks and JavaTpoint. But they all have a similar problem. They are not beginners friendly. In this article, I will show you a beginner-friendly approach to find whether a number is Automorphic or not in Java. What is an Automorphich Number? An Automorphic Number is a number whose square has the exact number as its last digit. For example, 25 which is the square of 5 contains 5 as its last digit. An example of a two-digit number is 5776 which is the square of 76 and ends with 76. Some other examples are 625 which is the square of 25 and ends with 25. Approach to Solve the Program Let's take a look at the easy approach to solving the problem first. Input number from the user Assign it to another variable (here the variable is p) Store the square of the number in a variable (here sq) With a loop check if the last digits of both numbers are the same or not Whether the last digits are the same or not can be checked with a simple condition (n % 10 == sq % 10) With the help of a counter variable (here c) take a record of how many last digits are similar Outside the loop, check with an if-else condition whether the counter variable is greater than 0 or not (counter variable c is initialized 0). ![Screenshot of the Automorphic Number Program in Java]( align="center") https://cdn.hashnode.com/res/hashnode/image/upload/v1670005718985/9a8c69ff-af3a-40ea-a637-aba9bdc87560.jpeg Code import java.util.Scanner;
class Main {
    public static void main(String[] args) {
        Scanner in = new Scanner(System.in);
        int i, n, sq, c=0;
        
       System.out.println("Enter a number to check for Automorphic Number");
                n = in.nextInt();
                sq = n * n;

                for (i = n; n > 0; n = n / 10) {
                    if (n % 10 == sq % 10)
                        c++;
                    sq = sq / 10;

                }

                if (c > 0)
                    System.out.println("Automorphic Number");
                else
                    System.out.println("Not an Automorphic Number");
    }
} Got a problem with For Loop? Here it is solved with While Loop import java.util.Scanner;
class Main
{
  public static void main (String[]args)
  {
    Scanner in = new Scanner (System.in);
    int n, sq, p, c = 0;

      System.out.println ("Enter a number to check for Automorphic Number");
      n = in.nextInt();
      p = n;
      sq = n * n;

    while (n > 0)
      {
	if (n % 10 == sq % 10)
	  c++;
	n = n / 10;
	sq = sq / 10;

      }

    if (c > 0)
        System.out.println ("Automorphic Number");
    else
      System.out.println ("Not an Automorphic Number");
  }
} Code Explanation The program is simple. We just have to check if the last digits of a number's square are equal to the number or not. I have taken five variables: i - this variable is kind of useless n - to store the number input by the user sq - to store the square of the number p - to store the number for verification at last as the variable n will become 0 after the control exits from the loop c - it is a counter variable used here to check whether the number comes at the end of its square or not for (i = n; n > 0; n = n / 10) { if (n % 10 == sq % 10) c++; sq = sq / 10; The For Loop condition 'i=n' can be replaced with a semi-colon (;). for (; n > 0; n = n / 10) The condition inside the for loop is used to check whether the last digit of the variable n is equal to the last digit of variable sq or not. At the last of the loop, both the variables sq and n are divided by 10. In While Loop, n = n / 10 is at the last with sq = sq / 10. This loop continues till the value of n becomes 0. This is why previously the value of n is stored in the variable p. Edit: . There is no need for the variable p If the last digit of both the variables is the same, the counter variable c will be increased by 1. After the loop is completed and n has become 0, the control will move outside the loop and then with an if-else condition we will check if the counter variable c is greater than 0 or not. If it is then the sq contains n as its last digit. Also Published here

How to Easily Check Whether a Number is Automorphic in Java

The automotive industry will never cease to grow technologically with each passing day. Numerous automobile manufacturing firms choose to make their processes efficient by adopting automation, AI, ML, and IoT. To make it happen, several automotive software development companies assist the automotive industry. Our tech experts conducted a review of the most powerful automotive product development companies. While researching, our team identified that different companies fall under different categories of technological advancement. We have classified the companies into three levels based on their degree of use of modern technology. Read on as we walk you through it! Here is the list of top automotive software companies 2023 1. RisingMax - Automotive Software Development Company RisingMax’s scope of services is rich and consists of developing solutions for Connected & Internet Cars, Telematics, , Smart Bikes, Navigation & Mapping, HMI, and Security. On scrolling through their technology section, modern technologies like blockchain, AI & Machine Learning, Cloud Computing, AR/VR, Big Data, and IoT. EV Charging RisingMax is amongst the most trusted and result-oriented automotive engineering companies. Backed by a highly experienced team of developers, testers, and business developers, the company is rising as a citadel of excellence. The client reviews, testimonials, and case studies exhibit their level of expertise. Amazingly, it has proved to be the right development partner for many automotive companies and successfully delivered numerous projects. To back our research, we analyzed the relevant case studies on the company’s website. 2. Intellias - Automotive Software Company With the advent of trends like connectivity, electrification, and shared mobility, automotive engineering consultancy firms like Intellias are carving a special place in the marketplace. The company offers phenomenal automotive software development services by leveraging the potential of technologies like , AI & ML, Big Data, and IoT. blockchain The company’s solution suite consists of autonomous driving & ADAS, digital cockpit, connectivity & telematics, and automotive back-end systems. The company has been delivering production-grade software used by OEMs and Tier 1 suppliers across the globe. Various automotive companies trust Intellias for their safe and AI-based software. Additionally, its eye-grabbing success stories and genuine client reviews further strengthen its position and reputation as an automotive engineering consultancy firm. We would now like to take you towards seeking an answer to a central question. After all, you are here not just to know about the top automotive engineering companies but beyond that, too. 3. Suffescom Solutions - Automobile App Development Company Suffescom Solutions is another company that caught our attention. The company offers web & mobile app designing, development, and digital marketing services. One of the prime reasons behind Suffescom Solutions being counted amongst the top automotive product development companies is its ability to deliver solutions possessing stunning designs and functionality. Moreover, the company’s customer-centric approach makes it stand apart from the crowd. The team of developers at Suffescom Solutions knows the knack to build highly functional platforms for the automotive industry and match their modern needs. Its real-time solutions have assisted many automotive companies in obtaining the perfect result. Besides, the client reviews tell a lot about their expertise and approach towards developing the right solutions. 4. Deloitte Deloitte is one of the most reliable and tech-driven automotive software development companies that have transformed the automotive sector with their modern solutions. This product company has introduced revolutionary services to the automotive world and assisted many companies by bringing them to the forefront. 5. Infopulse Infopulse offers a full cycle of automotive software development services that are highly flexible and scalable. Its 30 years of presence in the market has allowed many automotive companies to leverage its expertise and outgrow the competition. The company’s software development processes are based on A-SPICE, AUTOSAR, ISO 26262, and MISRA-C++ standards and best international practices. Being one of the top automotive engineering consultancy firms, Infopulse is at a dominant position and has earned massive recognition for its back-to-back successful projects. The company ensures faster time-to-market, greater productivity, and increased revenue generation for its clients. Its automotive competencies include embedded in-vehicle infotainment (IVI) systems, telematics, , security solutions, and blockchain solutions. NFC systems 6. McKinsey McKinsey is one name that drives growth and deserves a place on the list of automotive technology and engineering consulting firms. While it continues to grow with each passing day and serve the automotive industry, it is sure to remain one of the best automotive product development companies. McKinsey has a broader scope of services and caters to a vast automotive clientele to offer them what they require. The firm renders automotive by helping them prepare for uncertainty, reshaping their value proposition, and expertise for market entry & network expansion. It's software products enable automotive companies to automate their processes and find solutions to the growing demands. OEMs 7. Belitsoft Belitsoft has earned recognition, and this is why we have added the company’s name amongst the best automotive engineering services companies. Its software development solution includes repair management, parts management, job cost, production management, technician tracking, AR management, and scheduling. A case study present on their website tells how efficiently the company developed a custom SaaS ERP and CRM platform for car service stations. By the end of 2017, the platform recorded its use by 200+ customers of its clients. Amazingly, the platform is available in English, French, and Spanish versions. Moreover, the clients’ feedback empowers its position and will keep on assisting it to maintain its rank to be considered as one of the most reliable automotive engineering consultancy firms. 8. KandaSoft KandaSoft bags the seventh position in our research for listing the top 9 automotive engineering services companies. Its dedicated team and agile development process enable it to develop faster to market software solutions for the automotive industry. The company involves full-cycle application development services, including Cloud engineering & optimization, Analytics & Big Data solutions, AI & Machine Learning implementation, and 24*7 maintenance & support. The firm has provided scalable solutions to innumerable automotive companies and modernized them massively. And this makes way for the company to secure a good position and recognition amongst automotive engineering consulting firms. The client reviews and testimonials say a lot about their expertise and the trust they have made amongst the clients by providing world-class software products. 9. ELEKS ELEKS offers custom automotive engineering services. Companies that have made a mark as the developers of software products for the automotive industry have ELEKS amongst them. The company’s services include process & technology consulting, predictive & prescriptive analysis, idea validation & PoC, and custom automotive software solutions. ELEKS utilizes trending technologies like Data Science & Machine Learning, Blockchain, Internet of Things, advanced Data Analytics, Telematics, and more. Its rich portfolio exhibits its domain expertise and knowledge about developing software that provides maximum benefits to an automotive company. 10. OrangeMantra Last but not least, OrangeMantra is a solution provider for brands and OEMs. The company builds and designs highly engaging and user-centric automotive software for startups and big companies. The team works on technologies like IoT, AR/VR, ML, Blockchain, and more. This is what enables them to deliver custom automotive software solutions. The company’s expertise comprises Connected & Internet cars, EV Charging software, Smart Bikes, Telematics, Autonomous & , Navigation & Mapping, IoT & Embedded solutions, and more. The integration of modern technology makes OrangeMantra one of the top-rated automotive engineering consulting firms in modern times. ADAS How Automotive Software Will Play a Disruptive Role in the Industry? Autonomous vehicles are on their way to becoming a reality, and the given fact has already increased the pace of the industry’s growth. With so much modernization happening in the market, automotive software will grab the lion’s share of the market growth. Internet of Things The Internet of Things connects a thing with other things and will play a crucial role in the future of the automotive industry. The technology is efficient in enhancing user experience by integrating with smartphones and watches while making way for the voice recognition feature. Application of IoT in The Automotive Industry 1. Real-Time Vehicle Telematics 2. Cellular Vehicle to Everything (CV2X) 3. IoT based Predictive maintenance 4. In-vehicle Infotainment Artificial Intelligence Artificial Intelligence is already enhancing the user experience across other industries, and the automotive industry is no exception. IoT interconnects various devices and renders a more personalized experience to the drivers while integrating entertainment functionality. V2V Innovations Vehicle to vehicle innovations will allow cars to send data to each other through wireless networks. A sharp decrease in the number of accidents will follow the feature by transmitting information even before humans can see or assess the condition. Health Monitoring Health monitoring devices will monitor distracted driving and fatigue. The technology will be linked to IoT and devices like fitness trackers and other health apps. Moreover, the technology will also be integrated with the car’s software. Automated Vehicles Automated vehicles will soon be a reality and will automate all the driving functions. Presently, the latest car models are integrated with automatic braking sensors, parking cameras, and self-parking capabilities. Mobility as a Service (MaaS) will come as an alternative to actually owning a car and those who do not drive often. People will be able to have a car with them with a few clicks. This eliminates the need for people to own a car. Mobility as a Service Engine Transformation In the coming years, electric vehicles will put an end to traditional cars. Moreover, this transformation will positively impact the environment, and people will begin to adopt them by giving up diesel or petrol cars. Summing Up: Times will never remain the same, and neither will the list of automotive technology and engineering services companies. However, we have strived to bring the most updated list to you. Although the automotive industry has delayed adopting technology, you can avail early bird advantage of acting now for your automotive company. We hope this list of the best automotive engineering consulting firms will scale up your company’s operations, streamline disparate processes, increase productivity & efficiency. And this will happen since you must have furnished yourself with appropriate information on which automotive software company to choose from the list of automotive product development companies. We would keep you updated with our latest research and reviews so that you stay one step ahead of others. Happy reading!

10 Best Automobile Software Development Companies Worldwide 2023

Las 10 mejores empresas de desarrollo de software para automóviles del mundo

Artificial intelligence is being rapidly integrated into a variety of high-tech industries, with automotive being no exception. In fact, AI incorporation in the automotive industry is near-omnipresent: car manufacturers use the technology at almost every stage of the car-making process, and smart vehicle drivers harness the power of machine learning to receive diagnostics and safely navigate the road. Naturally, developing a secure and high-performance AI application for automotive is a challenging task, as any fault in the software can result in disastrous consequences. Because of that, finding a development partner for that purpose can be exceptionally tough. Hopefully, this selection of 10 industry-approved development companies will help you find the team you can fully rely on. What were the selection criteria? It’s not about the number of services the company claims to be an expert in, it’s the actual portfolios, clients, awards, and customer reviews that matter the most. I’ve looked at dozens of Clutch pages and case studies to choose the most impressive and dependable development teams working with AI solutions for Automotive. Since I like to keep things somewhat brief in the summary department, I strongly encourage you to check out the companies’ pages and projects by yourself, just to ensure that the listing that has caught your eye is indeed a great fit for the kind of automotive project you’re trying to create. So without further ado, let’s get into it. Top 10 Vehicle AI Development Companies 1. Bamboo Apps Tallinn, Estonia Headquarters: 2018 Founded: 200 Company size: , . Project examples: Self-Drive Design and Development Services for JLR InControl Remote Apps The Estonia-based development team of Bamboo Apps has garnered widespread acclaim in the automotive industry as a trusted partner of Škoda, Jaguar Land Rover, Rinspeed, Mitsubishi, and multiple other world-class OEMs. The reason for that is simple: it’s hard to match the sheer level of expertise the company has in delivering effective solutions for connected, autonomous, shared, and electric vehicles. With a Clutch score of 4.9 and a multitude of industry awards, Bamboo Apps stands as a very reliable automotive software vendor. A great example of their AI prowess is the Self-Drive project, which is a unique vehicle acquisition platform that acts as a voice assistant. The solution guides the driver along a set course while providing contextual information about the vehicle. At the end of the test drive, the customer can purchase the vehicle – all that without the need for a sales manager. Bamboo Apps’ expertise is as follows: car connectivity; HMI; mobility solutions; Bluetooth connectivity; automotive prototype and MVP development; UX/UI design. 2. Tietoevry Espoo, Finland Headquarters: 1968 Founded: 24,000 Company size: , . Project examples: Collaboration with HSL mobile solution integrated into milk trucks Tietoevry is a Finnish IT software and service company providing automotive engineering services. A trusted partner of Helsinki Regional Transport Authority (HSL), Finnish Transport Agency (FTA), the Centre for Economic Development, Transport and the Environment (ELY) for North Savo, as well as multiple European electric vehicle brands, Tietoevry creates cutting-edge mobility technology for a safer and cleaner future. The team has broad experience in building automotive AI applications, which support advanced driving assistance functions, for example, AI-based parking assists. Their apps can also gather updates from the car sensor data fusion, advanced analytics, and machine learning algorithms to create high-definition map content. Tietoevery’s expertise includes: ADAS and automated driving; Android Automotive; connected car and telematics; digital cockpit; automotive R&D services; 5G automotive solutions; automotive IoT software. 3. Grape Up Santa Clara, USA Headquarters: 2006 Founded: 200 Company size: , . Project examples: AI and ML Deployment Platform for a Sports Car Manufacturer Prototyping the Future Automotive Cloud Grape Up aims to help companies create a software-centric future for the automotive industry by delivering end-to-end SDV building services – and its track record so far has been stellar. The team constitutes value-aligned partnerships based on constant feedback, ownership, and willingness to innovate, which results in top-notch client experiences and, of course, products. GrapeUp’s experience in AI is nothing to scoff at: the company knows how to handle predictive maintenance, expandable AI, supply chain optimization, MLOps, and data streaming, augmented testing with prediction, and deep learning neural networks. Their AI-based collaboration with an established sports car manufacturer is definitely worth checking out if you’re interested. GrapeUp’s expertise encompasses: connected car; automotive e-Commerce; shared mobility; automotive cloud; big data; AI & ML. 4. KitRUM Clearwater, USA Headquarters: 2014 Founded: 150 Company size: , . Project examples: FreightCenter platform rewrite Online motorbike marketplace KitRUM puts emphasis on high-class services for auto-piloting software, data sync, distribution, interconnection, voice assistants, music, and video playback. The team boasts robust tech skills in big data, ML/AI development, cloud solutions, IoT, and embedded software. It is the talent behind the world’s leading carpooling platform that supports a community of 100 million drivers. Their AI expertise is apparent in the platform’s analytics and management capabilities, which incorporate sophisticated algorithms and API integrations. So far, the functionality has yielded a significant reduction in costs and man hours required to carry out quality freight management and transportation planning. KitRUM is an expert in: embedded in-vehicle infotainment (IVI) systems; advanced driver-assistance systems (ADAS); Internet of things (IoT) solutions; VR and AR solutions; vehicle software systems; cloud & DevOps; electronic control unit; HMI. 5. Andersenlab Warsaw, Poland Headquarters: 2007 Founded: 3400 Company size: , . Project examples: Industrial IoT Solution for Automotive Vehicle plate recognition system A certified partner of Microsoft and an advanced consulting partner of AWS, Andersenlab is a tech company with a truly impressive industry reputation. Having 14 years of experience in Automotive, the software team offers a wide variety of services to OEMs and Tier-1 suppliers all over the world. Andersenlab’s expert knowledge of AI and machine learning technology is best exemplified by their work on an industrial IoT solution for Automotive. Using its fully automated ML features, the software can detect deviations and anomalies in the data it processes and then triggers various custom events. The solution can also send automated messages, notifications, and alerts. Andersenlab offers the following: car rental management software solutions; vehicle diagnostics software solutions; autonomous car software development; connectivity & telematics solutions; RPA automotive software solutions; ECU & ECM software. 6. Intellias Chicago, USA Headquarters: 2002 Founded: 2500 Company size: , . Project examples: High Definition Maps and Cloud Data Platform for Autonomous Driving ADAS Solution for Electric Vehicles Intellias has been delivering production-grade software for OEMs and Tier-1 suppliers for years at this point, garnering widespread acclaim for its safe, adaptive, and AI-based applications. Today, Intellias is well renowned for its expertise in connected and autonomous vehicle solutions, which has earned the company a rightful spot on this list. The HD Maps and Cloud Data Platform is a good showcase of the team’s prowess. The software delivers shared real-time and historical sensor data, multilayer high definition (HD) maps, and predictive machine learning, creating the perfect environment for the development of proprietary solutions and serving as a one-stop marketplace for enterprise-grade, continuously updated spatiotemporal data. Intellias are experts in: autonomous driving & ADAS; HMI; connected car software; automotive AI & machine learning; automotive navigation software; automotive embedded software; automotive cloud services and DevOps; automotive big data. 7. Eleks Tallinn, Estonia Headquarters: 1991 Founded: 2000 Company size: , . Project examples: Data-Driven Digital Transformation of a Car Rental Business Mobile 3D Car Interior Preview Eleks is a well-established European partner of several OEMs and Tier-1 companies that believes that the future of automotive lies in electrification, shared mobility, and technology convergence. Their expert team applies accurate data analytics across their clients’ entire value chain, creating insights that drive smarter product decisions and deliveries. Their complex solution for Russman, a car rental business, uses AI-based predictive analysis to calculate demand, among many other things. The system is so precise, that the automotive company’s accuracy of demand predictions has increased by 95%. The Eleks team can do the following: predictive and prescriptive analytics; ADAS; data science and machine learning; IoT; fleet management; drones for vehicle inspection; AR and VR; telematics. 8. Binariks Torrance, USA Headquarters: 2014 Founded: 160 Company size: , . Project examples: Cloud-based Analytics Dashboard for EV Infrastructure Company Marketing platform for global manufacturers Binariks helps companies convert drivers into brand ambassadors by offering them seamless driving experiences every day. The company focuses on protecting customers from life-threatening situations with ADAS software that simplifies driving and parking, as well as maximizing the usage of big data to create reliable maintenance, navigation, and automation solutions. Binariks created an IoT platform that could balance the EV charging grid with the help of machine learning technology: the app tracks fluctuating electricity prices and predicts the best charging options for various cars. Users can even get an optimized charging schedule powered by a custom AI algorithm. Binariks possess expertise in: advanced driver assistance systems; HMI and NDS-based navigation; automotive analytics; keyless vehicle access control systems; fleet management; self-driving functionality; HMI. 9. N-ix Lviv, Ukraine Headquarters: 2002 Founded: 1800 Company size: , . Project examples: Mobile application development for an Irish provider of taxi dispatch software Development of a Digital Bike Sharing Solution for Copenhagen Municipal System With over 1000 tech experts on board, the team of N-ix helps automotive suppliers achieve their milestones faster. Their software engineers have years of experience in building efficient and secure cloud solutions, big data platforms, and vehicle-to-everything (V2X) solutions, and are skilled in implementing AI and machine learning algorithms. For example, the mobile app for iCabby (a cloud-based taxi dispatch platform) features intelligent voice assistants that facilitate taxi booking for users and simplify trip planning and billing for drivers. The smart analytics features also help match a passenger with a driver closest to them, predict the supply and demand in a particular region, adjust for bottlenecks along the route, etc. N-ix provides expertise in: connected vehicle technology automotive cloud solutions machine learning and computer vision automotive VR and AR production IoT automotive applications enterprise mobility solutions. 10. OrangeMantra Gurgaon, Haryana (India) Headquarters: 2001 Founded: 500 Company size: , . Project examples: E-Business Platform for the World’s No.1 Two-Wheeler Brand Motorcycle Navigation App For Hero With vast expertise in computerized vehicle diagnostics software, driver-assist software, GPS solutions, and OTA updates, OrangeMantra stands as one of the top automotive software development teams on the market. Over the years, the company has collaborated with leading automotive brands and OEMs to build performance-oriented, safe, and adaptive software solutions for connected and autonomous driving. One of OrangeMantra’s projects is an application that helps motorcyclists navigate using the vehicle’s odometer and manage calls on the go. The application uses smart analytics to aid users in route planning, utilizing geographical and meteorological data, as well as real-time traffic information. OrangeMantra is an expert in: connected & internet cars EV charging software smart bikes telematics autonomous & ADAS AI & machine learning navigation & mapping IoT & embedded solutions HMI, security.

Top 10 Software Development Companies Working with Automotive AI 

IoT Solutions are improving our lives in remarkable and unexpected ways. With the emergence of trailblazing development in this tech, users can get updates about various functionalities of their machines with only a few clicks. The application of IoT is unfurling daily, and the more refined its use cases are becoming, the more sophisticated the way we interact with our machines will be. The automobile industry, for that matter, is one such sector that could use some inventiveness in the light of the Internet of Things technology. But unfortunately, the annual production in this industry in the last decade has been relatively stagnant. According to an international assessment, the global t has been somewhat fixed since 2016. urnover of the Automotive Industry One reason why the Automotive Industry is incapable of making a breakthrough in its yearly sales, and production record, is the lack of technology-triggered innovative features in automobiles. In a market where tech giants rule, buyers seek more than just four tires and a steering wheel in a car. They look not just for comfort but also for a buzz and the sense of excitement associated with using a futuristic vehicle that can interact as well as connect to their applications. Luckily, the Internet of things is one such brilliant technology that has listened to the clarion call of the Automotive sector by helping build next-gen vehicle batches. The dawn of IoT in the Automotive Industry has welcomed new avenues for buyers and car makers alike. Whether it is automated transport systems or connected cars, the applications of IoT have made a deep dent in the universal automotive market. As a result, IoT has become an eminent hotspot for multi-purpose applications in every industry, let alone automobiles. Where can you use IoT in cars? Predictive Maintenance for Car Repair You can exploit two common approaches in car maintenance for your cautious car owners- Predictive and Preventive. For instance, when people estimate that their oil or bearing will soon wear out, they go to the service station for replacements or inspection, this is called Preventive Maintenance. On the other hand, IoT for automotive service offers Predictive Maintenance, where the system scans the status of various functionalities and their parameters in a car in real-time. Further, this system alerts the driver when vehicle service is needed. For example, alerts about the level and purity of engine oil from quality sensors and the estimated oil change date are calculated by real-time indicators. Therefore, as a manufacturer, you can employ this tech for better maintenance of their vehicles before significant repair costs are required. Commercial Fleet Monitoring Companies like Cisco, IBM, AT&T, and Intel are industriously developing IoT and Automobile Management networks to generate controlled data flows. But what exactly can fleet owners do by using IoT? Immediate and real-time location monitoring of the fleet Route management Driver and Time management Track weight/volume of cargo that the fleet is carrying Record statistics Trucks' performance like fuel and mileage Timely maintain and optimally calculate the distance left The track traffic situation on a particular road Efficiently distribute the vehicles Establishing better safety of the driver and the vehicle A fleet operator can make use of this information to monitor and analyze various parameters related to his or her fleet. Trucks functions are nowadays consolidated with various sensors that store data gathered from a large fleet of trucks into a cloud application. This sensory data is then processed through different analytics features and actualized into a visual or condensed format. Car and Smartphone Integration Another exciting way that you can let your car users enjoy IoT applications is by creating a sophisticated network between their smartphones and cars. As mentioned, IoT can assist car owners by giving them feedback in advance about the upcoming technical conditions, these feedbacks can, in turn, be sent through smartphones allowing an even better chance for users to solve issues before the appearance of these problems. Predictive Maintenance: The manufacturer and the owners can monitor all the linked vehicles directly via smartphone, as they are available in one network and available for data transfer all the time. Analytical information to manage: IoT tech allows the exchange of information regarding maintenance decisions between the car owners and manufacturer, enabling speeding up the maintenance and production processes throughout the vehicle's life cycle. Real-time monitoring: In-vehicle Infotainment and Telematics 4G LTE-powered In-car Wi-Fi Capabilities have enabled telematics features in IoT-based automobiles. Telematics is the integrated use of vehicular technologies (road safety, road transport, etc.), telecommunications, computer science (Internet, multimedia, etc.), and electrical engineering (instrumentation, sensors, etc.). Using telematics, car owners can keep an eagle eye view of their vehicle from a whole different location. Plus, through a smartphone-enabled dashboard, you can let your car users ensure surveillance, connect to external sensors and cameras and send information to a mobile application. The telematics system enabled with IoT can even alert the owner's phone on forceful entry into the vehicle without proper access. Google and Apple are partnering with several Automobile Manufacturers to provide IoT use cases like infotainment, including google assistant for hands-free assistance during driving, authenticating cars to open and close, and self-start using just the mobile phone. Equipment Theft Detection During Car Manufacturing It is important to observe the state of equipment while the cars are manufactured in addition to monitoring its infrastructure generally after purchase. In the factories, there is an obvious possibility of theft of equipment. RFID tags can help indicate what equipment is missing and when it happened. Along with IoT in the equation, it is now possible to even track where the equipment is located in real-time. This way, a shop floor supervisor can keep track of the equipment on their balance sheets and check for its presence. Autonomous Vehicles In the course of time, it is forecasted that the automotive industry will evolve to produce autonomous vehicles. However, this prospect is still under continuous development even though IoT-infused semi-autonomous cars have already been released in the industry. Such vehicles take on-the-spot decisions while they partly control vehicle operations. Car users can get support from such vehicular infotainment systems while performing various activities like lane changing or parking. The stride of autonomous vehicle production and development for commercial purposes is accelerating. This technology is set to revolutionize how people commute. Driver Behavioral Management This excellent tech solution can be configured to track and identify sudden acceleration or braking, frequent stopping, high-speed turning or jerking, rash driving behavior, and slow driving on a per driver basis. In addition, supervisors or car owners can use this feature to track individual drivers' conduct and flag and identify fatigued drivers or unsafe driving practices. The phenomenon can be achieved using internet-connected devices that monitor everything from accelerator movements to speedometer readings. Such data gathered on the driver’s behavior by IoT sensors can be used to prevent and detect accidents that are likely to happen due to abnormal driving behavior. As it is already no news that most automobile accidents occur due to human error, this technology can be used to monitor fleets to ensure safety behind the wheel. Conclusion The AI and ML tech in the IoT-backed networks can enable automobile manufacturers to build and offer better connectivity solutions. These over-the-air software updates, embedded systems, cloud connections, and vehicular electronics will allow vehicles to self-drive themselves unassisted and communicate to drivers boundlessly. This collaboration of the Internet of Things with the automobile industry can unlock new values and creative solutions for all parties involved. Of course, there are still many . But after the burst of its role in the Automotive Industry, the prospects have indeed steered toward a paradigm shift. facts to know about IoT Technology

What Can IoT Tech do for the Automobile Industry?

Although vehicle sensors collect massive amounts of data, only 5% of it is currently being used for product development. Better infrastructure and data processing hold the keys to progress. The promise of fully continues to excite and inspire millions of people around the world. The amazing things that safe, reliable, self-driving vehicles can do for humanity--from providing newfound mobility to senior citizens to reducing traffic accidents--are closer to our reach than ever. But we still have a long way to go. autonomous vehicles Along with the fuel (gasoline, diesel or electricity) that powers automobiles, autonomous vehicles require a fuel of their own to “drive” safely and effectively: data. Although that data, already collected by millions of sensors on thousands of vehicles around the world, is readily available, it’s not being utilized to its full potential. Today, automotive companies only access 5% of their vehicle data, while the remaining 95% becomes costly to store and optimise without the context necessary to make use of it. Sensor power the algorithms that make all levels of possible. As automotive companies aggressively pursue data-driven product development, data handling (including the exploration, querying, curation and evaluation of data) is a common bottleneck on the road to progress. datasets autonomous driving These essential but hard-to-manage datasets bring a unique set of challenges for those hoping to make use of them: Unstructured and diverse formats Need for rich semantics in order to access them Huge sizes that require high-performance computing Strong need for data versioning Access and security issues Need for continuous failure-case driven data exploration With the proper data processing and , engineering users can overcome all of these challenges and vehicle data can fulfill its potential. By upgrading legacy technology for data access and analysis, OEMs and mobility tech companies can bump up data utilisation rates by up to 40% and generate additional ROI as data exploration, search, analysis, anomaly detection, and evaluation require less manual engineering work and yield better results. analytics software Data infrastructure and management are being neglected Currently, vehicle technology developers are focused on models and ground truth labeling. These same developers are neglecting infrastructure upgrades, leading many to use legacy technology for data management. Terabytes of unstructured, unprocessed vehicle data easily overwhelm these systems, causing them to malfunction. Raw data has no metadata and billions of frames, and technology developers are left to use tools ill-suited to the task of data management to organize data on their own. machine learning Highly-paid engineers search datasets manually on sluggish database systems, .  Furthermore, the lack of insights garnered from these vehicle datasets means machine learning and data science systems are unable to effectively build AI functions that rely on sensor data as an input. spending up to 75% of their time on raw data handling issues instead of training and validating models Purpose-built data infrastructure is the solution Infrastructure that is designed and built specifically to house raw sensor data and extract insights is the answer. This infrastructure should be as simple and easy to navigate as spreadsheets and databases that bring order and usefulness to data in other industries. For vehicle sensor data, infrastructure that uses a flexible and minimalist data model and a scalable method to produce semantics, along with fast queries and integrated endpoints to use and share data, is most effective. SQL These and other infrastructure elements improve data re-use and result in faster insights. Enabled by semantic automation, data can be ranked according to its importance based on context, content, criticality, and usability. This reduces redundancy and maximizes information density. Low-importance data is archived or deleted, while high-importance data is easily accessible for everyone. Furthermore, data insights can be provided almost immediately with overviews of the content and the redundancy. Users can augment retention recommendations with tailored rule-based constraints, e.g. unprotected left turns should always be kept. Better autonomous vehicles, sooner Advances in automated data infrastructure and processing liberate automotive technology developers from the constraints of legacy technology systems. Automated, semantic data management systems such as make data handling easier than ever, enabling automotive companies to save valuable engineering time, boosting productivity and increasing overall utilization. SiaSearch Put simply, more robust, effective infrastructure for unstructured sensor data will lead to higher ROI on research and development by freeing up engineers to do what they do best: building algorithms that will power the autonomous vehicles of the future. And with those engineers working more efficiently, the dreams of autonomous vehicles improving our lives are that much closer to reality. of the SiaSearch data management platform to see how we can help. Dealing with lots of raw sensor data? Request a demo Originally published by Clemens Viernickel on: https://www.siasearch.io/blog/raw-sensor-data-needs-infrastructure-to-be-useful/

Automotive Companies only Access 5% of their Vehicle Data

But now the graph is going down, steeply. Did you know: “95% of car sales before COVID-19 were made at the dealership?” The car selling process is not traditional anymore. It is way more improved than it used to be. In the recent past, you could easily display a car at your showroom and let the salesperson take over the lead; it is not like that in 2021. People are now more involved and taking more active roles in the car buying process. Customers are no longer relying on your sales representative anymore; they are more informed now. A person who is going to buy a car will gather the facts through their before taking any big step. online research Seeing the trend, it is clear to most marketing teams in the that to bring new leads into the dealership. automotive industry online advertising is key That’s where new entrepreneurs in the need to focus. We reached out to different businesses and asked them what they mainly use for marketing their business and increasing their revenue streams. automobile industry We found the majority of automotive brands focused more on inbound marketing than traditional marketing. Hence, it is seen that updating your automotive digital marketing strategy is the best way to guide consumers to your dealership. Let’s first talk about what avenues are there to explore! Modern Marketing Tactics To increase the audience of your website through organic means via search engines, like Google. Search Engine Optimization: Increase traffic by displaying paid ads. Pay-Per-Click Campaigns: Increase exposure from influencers in your niche. Influencer Marketing: Increase press exposure for your new business by announcing new launches. Press Releases: Let people reach you via social media platforms. Social Media Presence: Increase traffic by providing valuable content to read/see with various channels Content Marketing: Increase sales & leads by creating offerings that are sold through affiliate channels Affiliate Marketing: How Can You Out-Do Your Competitors? Answer the Most Frequently Asked Questions online. This makes it easier for customers to reach you. Here’s what more appreciated in the community: “Help the people around you, without keeping your interest.” That’s how you can change the game. You are answering the concerns without selling. If you do so, whenever they make a purchase decision. they’ll remember you You need to add valuable pieces of content on your blog and website to make buyers’ research simpler. Let’s say, for instance, they want to know the specs of a newly launched Toyota. Write a neutral blog educating them about their interest. Or, if someone asks: “What will be the trade value of my car?” Answer it by creating a post entitled “How to find your car trade value before selling it.” This is actually helpful. Answering FAQs on public discussion forums like Reddit and Quora will also allow you to establish your company as an industry expert and a standout. Expand Your Footprint – Use all the means your audience sees and spread everywhere. A regular and consistent posting on your profiles is a good and of staying on top of people’s minds. When they , it may affect their mindset. cost-effective way notice your content every day Producing quality content, setting up an informational website, and keeping an active social media presence will encourage people to come back and make a path to your growth. Consistent quality content, a superior website, and an engaging social media channel don’t just encourage people to return; they also lay a . People always love to see what’s different. growth path A very few businesses are active on social media and working on getting new prospects from there. So, there’s a huge opportunity for you to fill the gap and make the most benefit out of it. Additionally, being in the business world, you already know the power of word-of-mouth. And it comes out when people know you, see your activities, and follow your pages. Putting social media buttons on your landing pages can also encourage those who want to pass it along. Drive Return Traffic – Optimize your customer relationships and create a magnet to bring them back. It is not just about throwing out content every day and night and expect people to come to you. But it should be a balance. It depends on consistency. You can always put out car reviews whenever something worth telling goes out in the market. So, how relevant is content in automotive marketing? It all depends on the quality content. By creating an effective content strategy for your new automotive business, you create a , and they will return. If you deal in car sales, you must also be working on automobile repairs, as selling and repairing always go hand-in-hand. base of loyal users Connect with Influencers – Go with the new rising trend of reaching out to popular people. We all must be following and relying on an influencer’s recommendations, not because they are just popular, but because they post genuine reviews. Some are actually good at giving neutral opinions about the things/objects/services brands offer. Influencers often have huge fan bases specific to a niche interest, and people usually look up to them for worthy reviews. Many influencers in the automobile industry have created YouTube channels for informing people about new car models. What they do is that they get test drives for different vehicles and then rate them on different scales. Partnering with influencers to promote your new business can be a plus in attracting many new customers. Bid on Competitor Keywords – Keep an eye on your competitor’s strategy. It is a bit technical thing to do but complex at all. The automobile industry is really competitive in nature, and you have to cope with every new trend going in. Therefore, while creating , not only go for the obvious keywords like “new Honda Accord.” In fact, search for “review for Honda Accord” and see what your competitors are saying about the same car. SEO optimized content While you shouldn't copy anyone or anything blindly, always focus on creating to get leads to visit your website over your competition highly persuasive ads The Bottom Line As digital has become the new normal, it is important for you not to ignore it at all. Work smart and cover all the aspects of the car buying process. To be the best car dealer in your area, your automotive marketing strategy must be strong enough to prove to car shoppers that you’ll lead them to a successful car buying experience. The race to meet up or stay up can be easily achieved using the tips we have mentioned above. By using modern channels to promote your new business, you can stand out even in a competitive auto market. Good Luck!

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