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Artificial intelligence is the imitation of human intelligence processes by machines specifically computer systems. Artificial intelligence came into the picture in mid-1955 by John McCarthy at the Dartmouth conference. John McCarthy and his team members proposed their work on artificial intelligence and a year later in 1956, and the name was attributed to McCarthy. Artificial Intelligence is mounted over the years and today if we look around we are surrounded by the same. From Alexa to google assistant, artificial intelligence made our life much easier than it used to be earlier. A Little Background About Artificial Intelligence Around 1950 Alan Turing published ‘Computing Machinery and Intelligence’ which gave the proposal of simulation Game – an idea which says, And this idea is named as . In 1959 a person Samuel brought out the word which clarifies that a person who develops the program may lose a game to the program itself. The program is capable to win against the creator of their existence. Artificial intelligence focuses on learning, Reasoning, decision making, and the Turing test checks the consciousness and decision-making ability in machines. can machines think? Turing Test Machine learning Types of Artificial Intelligence AI basically has two categories, and the other is . Let’s know a little more about these two. one is narrow or weak AI strong or general AI Narrow or Weak Artificial Intelligence AI has a purpose to act very smartly on a narrow task. AI is used for narrow purposes like feature or . For instance, Siri, Google Assistant, Alexa. face recognition finger-print sensor Strong or General  Artificial Intelligence Strong AI is no less than a human mind and can work as the real human mind does. General  AI is capable of doing every task by thinking like a human. , – the human-robot was discovered by Hongkong, thinks like a human being For instance Sophia Super Artificial intelligence Super strong AI means which is beyond the thinking of human which means a machine can do something which a human can not even think of. For instance, VIKI is a supercomputer developed by USR – a robotic company. VIKI means Virtual Interactive Kinetic Intelligence and Viki is an extremely efficient supercomputer. The latest development is that a company named Hanson Robotics created a humanoid that looks exactly like a human being and the name of that robot is . Sophia is able to recognize facial expressions and voice and can even communicate through artificial super intelligence. Sophia Scope of Artificial Intelligence Natural Language Generation Natural language Generation(NLG) is basically a process that converts data into written language. Its main purpose is to generate content from the data without human guidance. There are many instances where NLG can be used, it can generate business reports based on a dataset. As we know, ECommerce is at its peak and everybody wants different and attractive things. With the help of NLG, it can create landing page content and a description of the product as well. Writing reports manually can be a laborious task for the analysts. Natural language generation, the analysts are able to know clearly without wastage of time. NLG can automate the process with proper insights on the dashboard and speaking to every person on the dashboard. In other words, Natural language generation is an efficient way that would help the analysts by eliminating the workload. In Self-driving Cars Artificial intelligence can work more efficiently than humans do. Elon Musk owner of the tesla group invented self-driving cars that are dependent on artificial intelligence. According to the latest report, he said that in the near future, there will be cars which are level 5 autonomy with no geofence which means that level 5 cars can drive anywhere in this world with no limitations Chatbots Chatbots are recently used by every online platform to take an overview and resolve the queries of the client and give them the best services. Sectors of Artificial Intelligence Manufacturing Manufacturing sectors spent on intelligence ideally because the machines work so efficiently with minimum wastage of resources that keep the companies up in the game. Be it is virtual reality or nanotechnology they always try to keep up the game by investing in this technology. $2 billion Education By the Year 2030, Education is going to be in a different place than it is now, earlier people have to go to get their education at different places like educational institutions, but today there is a lot of quality education available on the online platforms. From personalized classrooms to satellite coaching its all because of intelligent solutions. Education is evolved throughout the years and AI has a great role in providing the best of quality to the potential students and those who are studying can have access to all the content that is widely available in the market. Health The health sector also spends about every year on intelligence solutions.  There are so many machines that can diagnose any disease in a span of minutes which helps in saving the lives of so many people. $1.7 billion Tourism The tourism sector gets a boom by introducing artificial intelligence and the use of chatbots and travel assistance is quite common in use. Tourism had always been an important part of the economy but lately, it has been the most talked topic. Like there are so many travel bloggers who are promoting tourism and artificial intelligence played an important part.  According to a report by , 80%  of travel assistants will be robots by 2020 Travelzoo Technology The tech giants like Apple, Google, IBM Watson are the main leads in artificial intelligence. Elon musk said the self- driving cars are likely to lessen the accidents and a revolution for this era. These Marketers have launched their virtual assistants like Google Assistant, Siri and the latest one which is loved by everyone Alexa. It is so easy for people to work by voice recognition feature by using neural networks to analyze the language and follow the command. Cybersecurity The crime rates on the online platforms are increasing rigorously be it a transaction of money or online abusing or bullying. Trolling these days are quite common. And in monetary terms, the datasheet hacked and the personal documents of the firms are leaked so artificial intelligence plays the part by giving security to the firms. IT solutions spent a ton of money just for the security of the datasheets and important documents that are confidential. This is also predicted that Artificial intelligence will help in employment generation and it will lead to 50% more employment opportunities by 2030. is here to rule the world by giving immense comfort to the people by their intelligence solutions. Artificial intelligence

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Let's learn about via these 48 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Redis /Learn Repo 1. How to Implement Caching Efficiently in NestJS Using Redis In this post, we’ll look at using Redis to give cache capabilities to a NestJS project. We’ll discuss Redis, what caching is, and the implementation procedure. 2. How to use Redis Pub/Sub in Messengers How to use Redis PubSub in messenger apps 3. 3 Simple Steps to Run Redis Docker in CentOS or Linux Machine Let's discuss the easiest way of setting up the Redis Docker image using the Docker container. 4. Redis and Node.JS: Learn the Basics Redis is a powerful piece of technology that lets us store data in memory. Let's look at how to use it with Node.JS 5. Resolving the CROSSSLOT Keys Error with Redis Cluster-Mode Enabled Why "CROSSSLOT Keys in request don't hash to the same slot" error happens in a Redis Cluster, and how to solve it. 6. Migrating from Heroku to Render Migrate from Heroku to Render 7. What is Idempotency and Why We Need It Idempotency is a strategy that makes sure an event that executed multiple times will give the same result. For example, GET method on the HTTP request. If you calling the endpoint with GET method will give you the same result. But POST method is not idempotent because every time you call an endpoint with POST method will create a new record on the database (the database state changes). 8. DBngin: Instant Local Server for MySQL, PostgreSQL, and Redis Docker might be an easy solution as an all-in-one tool for setting up a Local Development Environment. But on the other hand, it eats up a huge portion of your system resources to get up and running, and we hate it when our computer becomes lagging and clumsy. 9. How to Build a Digital Auction SaaS Platform using JavaScript, AWS Lambda, and Redis Want to create your very own digital auction? We'll show you how to build this application by guiding you through each step. Click here to get started now! 10. Live Updates in Ruby on Rails with ActionCable Feature There are times when one as a Ruby on Rails developer wants to implement a real-time feature, like a chat application, and after digging a bit you find a framework's feature named ActionCable, sounds new and scary, right? Fear not, I'll try to explain it as simple as possible so that at the end of this article you'll feel comfortable with the subject. 11. Introduction to ADN: API Delivery Network A CDN designed for APIs with pre-heating and real-time purges, that sits in front of all our API servers, always serving a hit and never a miss. 12. Exploring Redis II: How Redis Stream Works What's Redis stream and how to use it. 13. A different approach to User Sessions in Microservices the most important pieces of data for your whole application is kept in-memory and shared throughout all modules of your application: the user session. 14. Building a Secure Web Chat With Redis, mTLS and GCP Securing Redis installation with mTLS and accessing it from a compute instance on GCP for free. 15. Distributed Denial Of Service (DDOS) Mitigation In the current age of big data and internet businesses it is a constant struggle for an organization to prevent data breaches and protect the data of their users. The current landscape of cyber security is still evolving and attempts are being made to use Artifical Intelligence to protect systems from attacks and data breaches. 16. Event Driven Systems: Building A Facebook Like Counter & Notification System Most of the applications have some sort of badging functionality which is used to display certain counts to the users for CTA (Call To Action). 17. Caches in Python Let's learn about Caches, Caching Operations, Cache Eviction Policies,
Implementation of Cache Eviction Policies, Distributed Caching
and Caching In Python 18. SSL Certificates and Some Other Prerequisites for Installing Orchestrator System Center Orchestrator can automate reoccurring tasks related to support and management of the Exchange organization. In particular, it can be used to create a custom interface where support organization can request precise actions like message tracking logs and mailbox moves. This makes executing basic tasks easy as one does not need Exchange permissions or be forced to use tools like Exchange Management Console or Powershell. 19. Creating a Distributed Task Queue in Python With Celery + RabbitMQ + Redis In this article, we are going to use Celery, RabbitMQ, and Redis to build a distributed Task queue. But what is a distributed task queue, and why would you buil 20. A Successful Selenium Parallel Testing With Zalenium Do you run a lot of automation frameworks using Selenium but finding it difficult to scale with a Dockerized infra? Maybe our case study can be of help. Read on 21. What Is Redis and How Can It Make Your Website 30-40% Faster? Redis is a type of database that can be used to significantly improve your website's loading speed thanks to its design and its versatile selection of modules. 22. We Built The World's Largest Real time High-Frequency, Low Latency Streaming System on Golang The evolution, failures and design decisions behind one of the world’s largest real-time, high-frequency and low-latency streaming systems. 23. How to Choose the Right Real-Time Communication Approach: Long Polling vs Redis Pub/Sub Real-time communication is essential for modern web applications that require fast data exchange between clients and servers. 24. Scale Your Microservices with an Easy Message Queue on Redis If you’re a microservices developer considering communication protocols, choosing an event-driven architecture might just help you rest a little easier at night. With the right design, event-driven architecture can help you to create apps that are decoupled and asynchronous, giving you the major benefits of your app being both performant and easily scalable. 25. Using Redis Streams with NestJS: Part 1 - Setup This is part 1 of a 3-part series, where we will explore how to use Redis streams with NestJS. 26. Exploring Redis: How the Publish/Subscribe Pattern Works Pub/Sub pattern in Redis 27. What Are Redis Hashes Redis hashes are a type of record stored in a Redis database. They are little like JSON objects and store data as key-value pairs. 28. How To Configure Redis + Redis Commander + Docker I will get redis and redis commander up and running using docker. 29. In-Memory Caching in Golang How to implement in-memory cache in Golang App 30. Introduction to Redis: The In-memory Database Redis is a type of database and it can be added to your production level application to make it more performant. I will cover the basics of Redis and show a real world example of Redis. 31. Deploying Complex Microservice Apps Using PMKFT [A How To Guide] In this tutorial we are going to expand our examples with deploying a more complex microservice. The idea is to make you more comfortable with the platform and to show you how you can leverage it for more advanced scenarios. 32. Using Redis Streams with NestJS: Part 2 - Reading from Stream This is part 2 of a 3-part series, where we will explore how to use Redis streams with NestJS. 33. Using Redis Streams with NestJS: Part 3 - Consumer groups This is part 3 of a 3-part series, where we will explore how to use Redis streams with NestJS. 34. Most Common Redis Use Cases by Core Data Structures Redis, short for Remote Dictionary Server, is a BSD-licensed, open-source in-memory key-value data structure store written in C language by Salvatore Sanfillipo and was first released on May 10, 2009. Depending on how it is configured, Redis can act like a database, a cache or a message broker. It’s important to note that Redis is a NoSQL database system. This implies that unlike SQL (Structured Query Language) driven database systems like MySQL, PostgreSQL, and Oracle, Redis does not store data in well-defined database schemas which constitute tables, rows, and columns. Instead, Redis stores data in data structures which makes it very flexible to use. In this blog, we outline the top Redis use cases by the different core data structure types. 35. The Pros and Cons of NoSQL Learn how NoSQL differs from SQL and how it's built for high performance and availability. And no, it doesn't stand for "No SQL". 36. 2019 Database Trends – SQL vs. NoSQL, Top Databases, Single vs. Multiple Database Use Wondering which databases are trending in 2019? We asked hundreds of developers, engineers, software architects, dev teams, and IT leaders at DeveloperWeek to discover the current NoSQL vs. SQL usage, most popular databases, important metrics to track, and their most time-consuming database management tasks. Get the latest insights on MySQL, MongoDB, PostgreSQL, Redis, and many others to see which database management systems are most favored this year. 37. ROLE BASED ACCESS CONTROL (RBAC) DESIGN FOR MICROSERVICES This article extends the principles and design of API gateway discussed in the article here API Gateway. 38. Digging into Postgres's Lesser Known Features Postgres Handles More than You Think 39. How to use Redis HyperLogLog How to use Redis HyperLogLog data structure to store millions of unique items. 40. GitHub Actions CI config for MySQL, Redis, Elasticsearch in Ruby on Rails project with RSpec tests How to run parallel tests with Github Actions jobs for Rails project with MySQL, Redis, Elasticsearch. 41. Django, Celery, Redis and Flower Implementation Here I’m assuming you already have your basic Django project setup. And, already know what Celery is? if not, I’ll suggest getting a basic understanding of it here. So let’s just directly jump into the steps. 42. How To Setup Caching in Node.js using Redis In this article, we are going to implement caching in a node js
application using Redis, but, before we delve into the implementation
details, let’s explore what caching is and how it can help the
performance of our application. 43. Redis Can Help You Deal With Tough Calculations for Geospatial Data Easily Learn how to use Redis and its geospatial indexes and commands for complex geo calculations. 44. Redis Stream vs. Amazon SQS Do you like boxing fights? This evening I bring you a head-to-head battle between Redis Streams and AWS SQS. If you are interested which technology is better and which will end up on the ground, check it up! 45. Let's Build It: Real-time Session Invalidation How would we build an experience like the one above? Demo Repo Some applications need to limit users to a single client or browser instance. This post covers how to build, improve, and scale this feature. We begin with a simple web app with two API endpoints: 46. How to Build a Notification System with Sidekiq, Redis and Devise in Rails 6 In this post, we are going to talk a lot about asynchronous functions, something very fashionable nowadays, but not so much just a few years ago. 47. Should You Be Using NoSQL? NoSQL got quite some hype a few years back. It was going to solve your scaling, uptime, and speed problems. There were trade-offs, of course, but, for a brief moment, seemingly everything we knew about storing and querying data was up for grabs. 48. How to Build a Concurrent Chat App with Go and Websockets Go emerged from Google out of a need to build highly performant applications using an easy-to-understand syntax. It's a statically typed, compiled language developed by some of the innovators of C, without the programming burden of manual memory management. Primarily, it was designed to take advantage of modern multicore CPUs and networked machines. Thank you for checking out the 48 most read stories about Redis on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

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The Lex Fridman Podcast Apart from the many episodes on physics, history and art, Lex Fridman frequently discusses Artifical Intelligence on his podcast. There have been many episodes in 2022 with top AI researchers and experts from other fields discussing AI. Here are my favorite ones: Demis Hassabis: DeepMind - AI, Superintelligence & the Future of Humanity | Lex Fridman Podcast #299 On this episode with Demis Hassabis, CEO and co-founder of DeepMind, Lex and Demis discuss AlphaFold, Solving intelligence and Conscious AI. https://www.youtube.com/watch?v=Gfr50f6ZBvo&t=3364s&embedable=true Andrej Karpathy: Tesla AI, Self-Driving, Optimus, Aliens, and AGI | Lex Fridman Podcast #333 This is one of my favorite episodes of the podcast ever. Andrej Karpathy is the former director of AI at Tesla and a founding member at OpenAI. They discuss Tesla's Data Engine, Google's LaMDA and Autonomous driving. https://www.youtube.com/watch?v=cdiD-9MMpb0&embedable=true Oriol Vinyals: Deep Learning and Artificial General Intelligence | Lex Fridman Podcast #306 On this episode with Oriol Vinyals, the Research Director and Deep Learning Lead at DeepMind, Lex and Oriol discuss AGI, Neural networks and Meta learning. https://www.youtube.com/watch?v=aGBLRlLe7X8&embedable=true Sam Harris: Consciousness, Free Will, Psychedelics, AI, UFOs, and Meaning | Lex Fridman Podcast #185 Together with philospher, neuroscientist and author Sam Harris, Lex discusses the current state and development of AI, aswell as the overall impact of AI on humanity. https://www.youtube.com/watch?v=4dC_nRYIDZU&embedable=true Short version . here The TWIML AI Podcast with Sam Charrington https://twimlai.com/podcast/twimlai/?embedable=true On the ‘This Week in Machine Learning Podcast’ host Sam Charrington interviews AI and ML experts on a large variety of topics and discusses the most interesting current developements in a simple and understandable way. A new episode is released every week. The AI Podcast https://blogs.nvidia.com/ai-podcast/?embedable=true NVIDIA’s Podcast about AI features a large variety of guests ranging from CEOs to scientists talking about how they use or could use AI in their industries and fields of work. I very much enjoy the large variety of topics discussed in the podcast. New episodes are released every other week. Talking Machines Started back in 2015 by Katherine Gorman and Ryan Adams, the Talking Machines Podcast features conversations with experts about AI and ML, as well as their applications in different industries. New episodes haven’t been released since 2021, there are plenty of older ones to listen to though. Listen . here Me, Myself and AI https://sloanreview.mit.edu/audio/?embedable=true Hosted by MIT Sloan Management Review and Boston Consulting Group, the ‘Me, Myself an AI’ Podcast features guests from a large variety of companies, like Boeing, IKEA or Spotify about  applications and possibilities of Artificial Intelligence. New episodes are released every other week. I hope you will check out some of these podcasts / episodes and make sure to comment what your favorites are too! Also published . here

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ARTIFICA

artifica.io

1-10 employees

Since 2022

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ARTIFICA

EVERGREEN INDEX #885

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