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Scientists Have Created the World’s Smallest, Lightest, and Fastest Fully Functional Micro-Robots

Two insect-like robots, a mini-bug and a water strider, developed at Washington State University, are the smallest, lightest and fastest fully functional micro-robots ever known to be created.

Such miniature robots could someday be used for work in areas such as artificial pollination, search and rescue, environmental monitoring, micro-fabrication, or robotic-assisted surgery. Reporting on their work in the proceedings of the IEEE Robotics and Automation Society’s International Conference on Intelligent Robots and Systems, the mini-bug weighs in at eight milligrams while the water strider weighs 55 milligrams. Both can move at about six millimeters a second.

Forget making coffee — Boston Dynamics puts Atlas to work lifting heavy automotive struts in latest flex

Boston Dynamics’ flagship Atlas humanoid robot picks up and places heavy automotive struts with ease in new footage.

In this latest demonstration of Atlas’ capabilities, the robot uses only its on-board sensors to detect the objects before using its grippers to pick up the struts from storage and insert them into a nearby flow cart. The footage also gives us a glimpse of the action from Atlas’ perspective.

ChatGPT Appears to Have Lost Its Mind Last Night

Uh oh.

As The Independent reports, ChatGPT users have spent the last 24 hours or so flocking to social media to share screenshots and anecdotes of bizarre interactions with the OpenAI chatbot — which, well, appears to be losing its mind.

Screenshots show the AI’s responses to seemingly normal queries devolving into total gibberish, or simply generating way too much content. In one case highlighted by the Independent, a Redditor shared that the AI — when asked a question about coding, mind you — provided a garrulous and mostly illogical answer that included the statement: “let’s keep the line as if AI in the room.”

Bioweapons Designed by AI: a ‘Very Near-Term Concern,’ Schmidt Says

Artificial intelligence could bring about “biological conflict,” said former Google chief executive Eric Schmidt, who co-chaired the National Security Commission on Artificial Intelligence.

Schmidt spoke with defense reporters Sept. 12 as he helped release a new paper from his tech-oriented nonprofit think tank, the Special Competitive Studies Project. Schmidt launched the think tank with staff from the commission in order to continue the commission’s work.

AI’s applicability to biological warfare is “something which we don’t talk about very much,” Schmidt said, but it poses grave risks. “It’s going to be possible for bad actors to take the large databases of how biology works and use it to generate things which hurt human beings,” Schmidt said, calling that risk “a very near-term concern.”

Predictive Quality

One possible solution: Predictive Quality. With this approach, the quality of components is predicted in parallel with the process using AI models – based on production data acquired at high frequency. This enables 100% checks, reduces non-productive times and detects process errors at an early stage.

Predictive Quality – What Is It?

When we talk about ‘predictive quality’ we mean the approach of predicting component quality in parallel with the process. The resulting component quality is derived from current production data, for example using an artificial neural network (ANN).