Bengaluru, May 30: E-commerce giant Amazon on Monday announced it will open a new consumer robotics Software development centre here that will build solutions for the world. The India centre will help support Amazon's international Robotics division, which launched its first robot Astro last year. "Last year we unveiled our first consumer robot, but it certainly will not be our last.This new consumer robotics Software development centre will help support our growing consumer robotics division and attract top talent to work on world-class technology products," said Ken Washington, Vice President, Consumer Robotics, Amazon. Astro is designed to help customers with a range of tasks like home monitoring and keeping in touch with family. It brings together new advancements in artificial intelligence, computer vision, sensor technology, and voice and edge computing in a package that's designed to be helpful and convenient. "India is an innovation hub and having the centre here will help Amazon create better consumer robotics experiences for customers worldwide," Washington added.

Ever since Ada Lovelace, a polymath often considered the first computer programmer, proposed in 1843 using holes punched into cards to solve mathematical equations on a never-built mechanical computer, software developers have been translating their solutions to problems into step-by-step instructions that computers can understand. Today, AI-powered software development tools are allowing people to build software solutions using the same language that they use when they talk to other people. These AI-powered tools translate natural language into the programming languages that computers understand. "That allows you, as a developer, to have an intent to accomplish something in your head that you can express in natural language and this technology translates it into code that achieves the intent you have," Scott said. "That's a fundamentally different way of thinking about development than we've had since the beginning of software."

Hyundai has formed a new partnership to develop autonomous driving software for auto makers to design their own fleet of robot taxis. The South Korean car marker has announced the $4 billion venture with Aptiv, which will design Level 4 and Level 5 production-ready self-driving systems intended for commercialization by 2022. The venture aims to further the firms' leadership position in the global autonomous driving ecosystem. Hyundai has formed a new partnership to develop a production-ready autonomous driving platform for robotaxis. The goal is to develop Level 4 and Level 5 production-ready self-driving systems intended for commercialization, which the duo said will be made available to robotaxi and fleet operators, as well as other auto makers, by 2022.

Deepfakes are video manipulations that can make people say seemingly strange things. Barack Obama and Nicolas Cage have been featured in these videos. It used to take a lot of time and expertise to realistically falsify videos. For decades, authentic-looking video renderings were only seen in big-budget sci-fi movies films like "Star Wars." However, thanks to the rise in artificial intelligence, doctoring footage has become more accessible than ever, which researchers say poses a threat to national security.

Artificial intelligence and Machine learning have penetrated every sector. So, if you want to get to college, maybe an artificial intelligence robot will determine if you can get in. You see a car playing on the road which is driverless, after noticing it you know that there is the role of artificial intelligence in it. How can the software development be left behind? Take, for instance, visual recognition of a person.

AI is transforming all business functions, and software development is no exception. Not only can machine learning techniques be used to accelerate the traditional software development lifecycle (SDLC), they present a completely new paradigm for inventing technology. Traditionally, developing a computer programs requires you to specify in advance exactly what you want the system to do and then hand engineer all of the features of your technology. Encoding many tasks in an explicit way is possible, as computers before the advent of AI were still quite powerful. There are many tasks and decisions, however, that are far too complex to teach to computers in a rigid, rule-based way.

In a move seemingly strait out of the Terminator movies, the Defense Advanced Research Projects Agency this week said it has contracted with 15 companies or universities to begin building software and hardware that will give machines or robots visual intelligence similar to humans. DARPA said the program, known as Mind's Eye, should generate the ability for machines to have the "perceptual and cognitive abilities for recognizing and reasoning about the actions it sees and report or act upon it." "Humans perform a wide range of visual tasks with ease, something no current artificial intelligence can do in a robust way. They have inherently strong spatial judgment and are able to learn new spatiotemporal concepts directly from the visual experience. Humans visualize scenes and objects, as well as the actions involving those objects and possess a powerful ability to manipulate those imagined scenes mentally to solve problems. A machine-based implementation of such abilities is broadly applicable to a wide range of applications, including ground surveillance," DARPA stated.

NASA announced today that MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) is one of two university research groups nationwide that will receive a 6-foot, 290-pound humanoid robot to test and develop for future space missions to Mars and beyond. A group led by CSAIL principal investigator Russ Tedrake will develop algorithms for the robot, known as "Valkyrie" or "R5," as part of NASA's upcoming Space Robotics Challenge, which aims to create more dexterous autonomous robots that can help or even take the place of humans "extreme space" missions. Tedrake's team, which was selected from groups that were entered in this year's Defense Advanced Research Projects Agency (DARPA) Robotics Challenge, will receive as much as $250,000 a year for two years from NASA's Space Technology Mission Directive. NASA says it is interested in humanoid robots because they can help or even replace astronauts working in extreme space environments. Robots like R5 could be used in future missions either as precursor robots performing mission tasks before humans arrive or as human-assistive robots collaborating with the human crew.

The four-color map theorem says no more than four colors are required to color the regions of a two-dimensional map so no two adjacent regions have the same color. Over the past two decades, mathematicians have succeeded in bringing computers to bear on the development of proofs for conjectures that have lingered for centuries without solution. Following a small number of highly publicized successes, the majority of mathematicians remain hesitant to use software to help develop, organize, and verify their proofs. Yet concerns linger over usability and the reliability of computerized proofs, although some see technological assistance as being vital to avoid problems caused by human error. Troubled by the discovery in 2013 of an error in a proof he co-authored almost 25 years earlier, Vladimir Voevodsky of the Institute for Advanced Study at Princeton University embarked on a program to not only employ automated proof checking for his work, but to convince other mathematicians of the need for the technology.