I see you're writing an app... Microsoft nudges AI Clippy-for-Code out the door, turns machine learning onto Word


Build Microsoft today announced various AI-related tools during its annual Build developer conference in Seattle. Are you tired of your stubby fingers hitting the wrong keys when you code? Are you tired of pressing the delete key again and again? Are you tired of pesky spelling mistakes and buggy source? Well, perhaps Redmond's IntelliCode, first teased around this time last year, may just be what you need.

Toyota Looks to an Autonomous and Electric Future


Toyota announced creation of a $100 million venture fund to invest in autonomous driving and robotic technology start-ups as automakers increasingly push into the self-driving market. Toyota AI Ventures, a Silicon Valley-based subsidiary of Toyota, plans to invest the said amount into early-stage startups that are developing "disruptive" technologies in those fields, the company said. Jim Adler, managing director of Toyota AI Ventures, said in a statement, "Auto manufacturers must participate in the startup ecosystem to stay ahead of the rapid shift in the auto industry." The company added that the fund is part of Toyota's mission is a futuristic "discover what's next" phase. Toyota's AI venture fund has already invested in 19 different start-ups over the last two years, bringing its total funding commitment to autonomous driving technology to $200 million, the company further stated.

Atlas Robot Walks The Plank


A big challenge for humanoid robots is bipedal walking. IHMC has been pioneering advanced control techniques for bipedal robots to maintain balance while walking over a wide variety of terrains. While great strides have recently been made in robotics, robots still are unable to get to all the same places as people. Our humanoid projects are focused on pushing our bipedal humanoids capabilities forward to handle rough terrain without any knowledge of the environment from onboard sensors. Then, when this knowledge is included, their performance is further improved.

Obtaining constructive data for artificial intelligence MEED


The human mind can process only a limited amount of information at any point in time. However, artificial intelligence (AI), which is modelled on natural human intelligence, harnesses the processing power of computers to capture large amounts of data then analyses this information to identify patterns and trends. AI uses machine learning to solve problems and execute tasks with greater speed and accuracy. As computers begin to process more data over a longer period, they continue to learn and adjust their algorithms in a similar way to the human brain. This process is known as'deep learning'.

Making A Case For Machine Learning Compilers With MLIR


There is an urge, now, amongst the makers of smart devices to cater to the growing desires of their users to have devices which are heavy on specs while light on duty; accelerated hardware devices. Now the devices have human-like interactions, with vision and speech applications. Recently released TensorFlow Lite accommodates this lighter way of functioning via Android Neural networks API. This opens up a whole new paradigm of possibilities for on-device intelligence. TensorFlow's machine learning platform has a comprehensive, flexible ecosystem of tools, libraries and community resources.

This chip was demoed at Jeff Bezos's secretive tech conference. It could be key to the future of AI.


But innovation in chipmaking has been spurred mostly by the emergence of deep learning, a very powerful way for machines to learn to perform useful tasks. Instead of giving a computer a set of rules to follow, a machine basically programs itself. Training data is fed into a large, simulated artificial neural network, which is then tweaked so that it produces the desired result. With enough training, a deep-learning system can find subtle and abstract patterns in data. The technique is applied to an ever-growing array of practical tasks, from face recognition on smartphones to predicting disease from medical images.

Toyota AI Ventures launches $100M fund to invest in robotics and autonomous tech – TechCrunch


Toyota AI Ventures, a subsidiary of Toyota Research Institute, has a new $100 million fund that will focus on finding and investing in early-stage robotics and autonomous technology startups. This second fund, aptly dubbed Fund II, brings the firm's total assets under management to more than $200 million. "The growing interest in automated systems has created great opportunities to improve human lives using AI and next-generation mobility technology," said Dr. Gill Pratt, chief executive officer at TRI and Toyota AI Ventures investment committee member. Toyota AI Ventures is a newcomer to the scene. Still, it's managed to invest in 19 startups since launching in 2017, including Nauto, autonomous shuttle company May Mobility, social companion cognitive AI startup Intuition Robotics and Joby Aviation, the electric vertical takeoff and landing passenger aircraft service.

AutoML: The Next Wave of Machine Learning


Machine learning has provided some significant breakthroughs in diverse fields in recent years. Areas like financial services, healthcare, retail, transportation, and more have been using machine learning systems in one way or another, and the results have been promising. Machine learning today is not limited to R&D applications but has made its foray into the enterprise domain. However, the traditional ML process is human-dependent, and not all businesses have the resources to invest in an experienced data science team. AutoML may be the answer to such situations.

Even In The Robot Age, Manufacturers Need The Human Touch

NPR Technology

A robotic arm works on the production line at Volvo's factory in Ridgeville, S.C. But other essential jobs, including major portions of final assembly, are still left to people. A robotic arm works on the production line at Volvo's factory in Ridgeville, S.C. But other essential jobs, including major portions of final assembly, are still left to people. Robots have revolutionized auto manufacturing, making plants safer and products more reliable -- and reducing the number of people involved in the process.

The Robots Are Here: At George Mason University, They Deliver Food To Students


At George Mason University in Virginia, a fleet of several dozen autonomous robots deliver food to students on campus. At George Mason University in Virginia, a fleet of several dozen autonomous robots deliver food to students on campus. George Mason University looks like any other big college campus with its tall buildings, student housing, and manicured green lawns – except for the robots. This Northern Virginia university recently set up several dozen meal delivery robots from Starship Technologies to make it easier for students to access food. Multiple colleges across the country have deployed delivery robots – including University of the Pacific in Stockton, Calif., and Northern Arizona University – but George Mason University is the first college in the United States to incorporate robots into its student dining plan.