Autimo offers DevOps as a Service, Cloud Engineering & more. We can help with solutions architecture, cloud native development & general cloud consultation. Come chat with us about how adopting Infrastructure as Code can accelerate your ability to hit milestones and eliminate the friction of dealing with cloud infrastructure deployment. Whether you are taking your first steps, or are a seasoned expert who just needs an extra pair of hands, we can help. Looking to level up your infrastructure platform? We love IaC tools like Terraform, Pulumi & helm and are Kubernetes and containerization experts. We can help modernize legacy apps and finally migrate that last sticky 10% over to the new paradigm. We can also help ensure your cloud environment meets the infosec controls you need to pass SOC2, PCI DSS and others. Let’s work together to implement the most appropriate RBAC and least required access to your environments, whilst at the same time ensuring all cloud assets are tagged correctly for easy audit and cost monitoring. Book an intro meeting today at https://autimo.com/book/ We are always happy to chat!

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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 

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

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 

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

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AUTIMO

autimo.com

11-50 employees

Since 2018

COMPANY RANKING

AUTIMO

EVERGREEN INDEX #1197

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