Logistics robots developed by Quiet Logistics spinoff Locus Robotics are being rolled out to customers, as the Amazon Robotics alternative addresses a growing market.
Apple for the first time acknowledges an interest in self-driving cars. In a letter to the NHTSA, Apple writes that it is “excited about the potential of automated systems in many areas, including transportation.”
IBM Watson Health has created AI-powered medical image analysis solutions designed to help healthcare providers pursue personalized approaches to patient diagnosis, treatment, and monitoring.
“Information extraction” system helps turn plain text into data for statistical analysis.
NVIDIA has partnered with the National Cancer Institute and the US Department of Energy (DOE) to develop the CANDLE (Cancer Distributed Learning Environment) AI-based “common discovery platform” to help fight cancer, which is now the leading cause of death worldwide.
The Sun Devil two-armed robot used a custom version of reinforcement learning to learn how to shoot hoops in two hours. Its creators say the learning technique can be applied to other areas of robotics.
In this editorial, we look at how President-elect Donald Trump will affect the U.S. robotics industry through federal spending priorities, regulations, and tax and trade policies.
Chime’s Real Estate Platform combines machine learning and social media giant Renren Network’s technology to help real estate agents be more efficient and contact more customers.
MIT’s DeepDrumpf Twitterbot announced its presidential campaign on Monday. And all of the money it raises will go to “Girls Who Code,” a non-profit organization focused on closing the gender gap in the tech industry by teaching girls STEM skills.
Although academia and the private sector are advancing artificial intelligence, the Canadian government must address issues such as the brain drain and nationwide coordination.
The latest RoboBusiness robotics conference offers lessons for about e-commerce, cloud robotics, AI, and more that executives should heed now.
Toyota Research Institute CTO James Kuffner said at RoboBusiness that cloud robotics, improving sensors, and strategic partnerships will lead not only to safer cars, but also to general-purpose robots.
Pitchfire, the “Shark Tank” of robotics, gives 15 robotics startups two minutes to tell a live panel of judges and attendees how their product will be a disruptive technology. Here’s a sneak peek at each finalist.
We like to call it the “Shark Tank” of robotics. Pitchfire takes place tonight at RoboBusiness 2016 at the San Jose Convention Center. Fifteen robotics startups will have two minutes each to pitch their product to a panel of judges and to a packed room of industry colleagues. The winner of Pitchfire, which is sponsored…
A new computer system developed by MIT can automatically screen young children for speech and language disorders and, potentially, even provide specific diagnoses.
Brad Templeton has major issues with the federal guidelines that were released for self-driving cars, saying the development of autonomous vehicles in the US may take a serious hit.
A robot-ready business adopts artificial intelligence, robotics, and related technologies to keep pace with rapidly changing markets. The chief robotics officer role can help provide the leadership necessary to succeed.
Reuters reports that “within five years, one in three U.S. surgeries – more than double current levels – is expected to be performed with robotic systems, with surgeons sitting at computer consoles guiding mechanical arms.
This year, the great Chinese investment wave is keying on US technology; and a splash of it rolled into Boston and right on up to the front door of Neurala, a maker of artificial intelligence software.
Intelligent analytics tools from BeyondCore and robotic process automation from Genfour are two examples of how automated processes and IoT are forcing organizations to adopt new thinking about business management.
Google outlines outlines its top five safety concerns as artificial intelligence is applied in more general circumstances.
The stage is set for artificial intelligence to dominate our roads. Here’s how artificial intelligence is improving self-driving cars.
After just 3,000 miles, NVIDIA’s self-driving car uses its DAVENET deep-learning network to learn the rules of the road and become a better driver.
This University of Washington built a five-fingered robot hand that uses machine learning to teach itself how to grasp and manipulate objects on its own, rather than having humans program its actions.
“Duckietown” is model town created by an MIT Computer Science and Artificial Intelligence Laboratory class where students built a fleet of 50 “Duckiebot” self-driving taxis that can drive around the model city with just a single on-board camera and no pre-programmed maps.