LATE LAST WEEK, Google research scientist Fei Xia sat in the center of a bright, open-plan kitchen and typed a command into a laptop connected to a one-armed, wheeled robot resembling a large floor lamp. “I’m hungry,” he wrote. The robot promptly zoomed over to a nearby countertop, gingerly picked up a bag of multigrain chips with a large plastic pincer, and wheeled over to Xia to offer up a snack.
The most impressive thing about that demonstration, held in Google’s robotics lab in Mountain View, California, was that no human coder had programmed the robot to understand what to do in response to Xia’s command. Its control software had learned how to translate a spoken phrase into a sequence of physical actions using millions of pages of text scraped from the web.
That means a person doesn’t have to use specific preapproved wording to issue commands, Read More
Tag Archives: Robotics
CyberOne’s stage debut with Lei Jun!
Digital Twins Are the Future, Here Are 5 Ways to Keep Them Secure While Manufacturing Innovation
As technology continues to revamp existing business models, novel methods of manufacturing and projection are increasingly being used. Digital twins are perhaps the best example of how companies marry technology with the natural world to create innovative solutions. A digital twin is an electronic version of a real-work entity. It allows companies to model business conditions and predict the impact of their choices.
Research by Capgemini reveals that digital twin usage is bound to increase by 36 percent over the next five years. Increased adoption will certainly help enterprises create better products. However, increased use often brings significant security risks.
Data freely flows between the real-world entity and the digital twin. For instance, manufacturers create data flows between a real-world assembly line and its digital twin. This situation makes digital twins prime targets for malicious hackers who can wreak havoc on enterprise systems.
Here are five ways your company can secure its digital twins while ensuring peak productivity. Read More
ForSight Robotics brings in $55M for robotic cataract surgeries
ForSight Robotics raised $55 million in Series A funding for its surgical robot platform ORYOM that the company said can perform fully robotic cataract surgeries. Cataract surgeries are some of the most common ophthalmic (eye) surgeries worldwide, with around 28 million procedures performed a year. However, ForSight aims to eventually make all eye surgeries more accessible through its platform. Read More
Microsoft launches drone simulation software Project AirSim
Microsoft is offering a preview of its new AI-powered simulator for drones, flying taxis, and other advanced aerial mobility (AAM) vehicles. Project AirSim can be used to build, train, and test autonomous drones through hyper-realistic simulations of real-world scenarios. The goal is to help drone makers encode autonomy without the need for deep expertise in AI.
Project AirSim is a result of five years of research and experimentation into deep learning and AI. While the earlier open-source research project is being retired, Microsoft said learnings from the same have inspired the launch of this new end-to-end platform that would allow AAM customers to test and train AI-powered aircraft in simulated 3D environments more easily. Read More
FLAWED AI MAKES ROBOTS RACIST, SEXIST
A robot operating with a popular Internet-based artificial intelligence system consistently gravitates to men over women, white people over people of color, and jumps to conclusions about peoples’ jobs after a glance at their face.
The work, led by Johns Hopkins University, Georgia Institute of Technology, and University of Washington researchers, is believed to be the first to show that robots loaded with an accepted and widely-used model operate with significant gender and racial biases. The work is set to be presented and published this week at the 2022 Conference on Fairness, Accountability, and Transparency. Read More
E-skin that can feel pain could create new generation of touch-sensitive robots
An electronic skin which can learn from feeling ‘pain’ could help create a new generation of smart robots with human-like sensitivity.
A team of engineers from the University of Glasgow developed the artificial skin with a new type of processing system based on ‘synaptic transistors, which mimics the brain’s neural pathways in order to learn. A robot hand which uses the smart skin shows a remarkable ability to learn to react to external stimuli.
In a new paper published today in the journal Science Robotics, the researchers describe how they built their prototype computational electronic-skin (e-skin), and how it improves on the current state of the art in touch-sensitive robotics. Read More
NEW Tesla Robot Price & Release Date JUST LEAKED!
Robots are creating images and telling jokes. 5 things to know about foundation models and the next generation of AI
f you’ve seen photos of a teapot shaped like an avocado or read a well-written article that veers off on slightly weird tangents, you may have been exposed to a new trend in artificial intelligence (AI).
Machine learning systems called DALL-E, GPT and PaLM are making a splash with their incredible ability to generate creative work. Read More
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