Imagine being able to program materials to control heat like you can control a light with a dimmer switch. By simply squeezing or stretching the materials, you can make them hotter or colder.
Category: robotics/AI – Page 21
Air Force approaches industry for cognitive radio intelligent waveform generation and network control
The program seeks new kinds of cognitive radio techniques that enable wireless communications that autonomously find open radio frequencies and choose the most efficient RF waveform to avoid interference, achieve necessary range, and send data quickly.
Intelligent RF transceivers
Cognitive radio describes an RF transceiver that intelligently can detect which communication channels are in use, which ones are not, and instantly move into vacant channels. The same principles could apply to radar, electronic warfare (EW) and other RF and microwave applications.
How do you trust a robot you’ve never met?
Many of the environments where human-facing universal robots can provide benefits — homes, hospitals, schools — are sensitive and personal. A tutoring robot helping your kids with math should have a track record of safe and productive sessions. An elder-care assistant needs a verifiable history of respectful, competent service. A delivery robot approaching your front door should be as predictable and trustworthy as your favorite mail carrier. Without trust, adoption will never take place, or quickly stall.
Trust is built gradually and also reflects common understanding. We design our systems to be explainable: multiple AI modules talk to each other in plain language, and we log their thinking so humans can audit decisions. If a robot makes a mistake — drops the tomato instead of placing it on the counter — you should be able to ask why and get an answer you can understand.
Over time, as more robots connect and share skills, trust will depend on the network too. We learn from peers, and machines will learn from us and from other machines. That’s powerful but just like parents are concerned about what their kids learn on the web, we need good ways to audit and align skill exchange for robots… Governance for human–machine societies isn’t optional; it’s fundamental infrastructure.
Nvidia to invest in Elon Musk’s xAI as part of $20 billion fundraising: Report
Elon Musk’s AI firm xAI is planning a massive fundraising effort. The company aims to secure around $20 billion. This includes a significant equity investment from chip giant Nvidia. The deal structure involves Nvidia processors being rented out for five years. This innovative approach could set a new trend for tech financing.
Why AI Companies Are Racing to Build a Virtual Human Cell
Virtual cells could make it faster and easier to discover new drugs. They could also give insight into how cancer cells evade the immune system, or how an individual patient might respond to a given therapy. They might even help basic scientists come up with hypotheses about how cells work that can steer them toward what experiments to do with real cells. “The overall goal here,” Quake says, “is to try to turn cell biology from a field that’s 90% experimental and 10% computational to the other way around.”
Some scientists question how useful predictions made by AI will be, if the AI can’t provide an explanation for them. “The AI models, normally, are a black box,” says Erick Armingol, a systems biologist and post-doctoral researcher at the Wellcome Sanger Institute in the U.K. In other words, they give you an answer, but they can’t tell you why they gave you that answer.
