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Researchers at DeepMind in London have shown that artificial intelligence (AI) can find shortcuts in a fundamental type of mathematical calculation, by turning the problem into a game and then leveraging the machine-learning techniques that another of the company’s AIs used to beat human players in games such as Go and chess.
The AI discovered algorithms that break decades-old records for computational efficiency, and the team’s findings, published on 5 October in Nature1, could open up new paths to faster computing in some fields.
“It is very impressive,” says Martina Seidl, a computer scientist at Johannes Kepler University in Linz, Austria. “This work demonstrates the potential of using machine learning for solving hard mathematical problems.”
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New research may have vital applications in areas such as human-intelligence analytics. Traditionally, emotion detection has relied on the assessment of visible signals such as facial expressions, speech, body gestures or eye movements. However, these methods can be unreliable as they do not effectively capture an individual’s internal emotions. A novel artificial intelligence approach based on wireless signals could help to reveal our inner emotions.
The research from Queen Mary University of London demonstrates the use of radio waves to measure heart rate and breathing signals and predict how someone is feeling even in the absence of any other visual cues, such as facial expressions. It demonstrates how to apply a neural network to decipher emotions gathered with transmitting radio antenna.
Microsoft has revealed VALL-E, an artificial intelligence that can replicate any voice using a three-second sample. It has huge potential — and huge risks too.
A team of researchers at the University of Minnesota Twin Cities has uncovered a way to manipulate objects using ultrasound waves, paving the way for contactless movement in industries like manufacturing and robotics without the need for an internal power source.
The findings have been published in the peer-reviewed journal Nature Communications.
Continue reading “Not Science Fiction: A New Method To Move Objects Without Contact” »
The biggest obstacle is that each robotics lab has its own idea of what a conscious robot looks like. There are also moral implications to building robots that have consciousness. Will they have rights, like in Bicentennial Man?
Considerations about conscious robots have been the domain of science fiction for decades. Isaac Asimov wrote several novels, including I, Robot, that examined the implications from the perspectives of law, society, and family, raising a lot of moral questions. Experts in ethical technology have considered and expanded upon these questions as scientists like those in the Columbia University lab work toward building more intelligent machines.
Science fiction has also brought us killer machines like in The Terminator, and conscious robots sound like a good way to have some. Humans might learn bad ideas and act upon them, and there is no reason to believe that robots will not fall into the same trap. Some of science’s greatest minds have warned against getting carried away with artificial intelligence.
Microsoft Corp. is in discussions to invest as much as $10 billion in OpenAI, the creator of viral artificial intelligence bot ChatGPT, according to people familiar with its plans.
What’s ahead for retail, from the metaverse and AI to Gen A’s spending power and an increased focus on sustainability.
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Fire departments conducting “size up” training typically rely on whiteboard discussions, drives around neighborhoods and photo-based systems. New training technology will help firefighters train for different types of fires or hazardous material situations, vehicle accidents, residential and commercial buildings, etc. An augmented reality training tool for firefighters, called Forge, uses artificial intelligence and biometric training to simulate real emergencies. Developed by Avrio Analytics, the system is designed to make sure that firefighters possess communication, situational awareness and associated skills needed in emergencies.
“Biometric and performance data collected during training allows Forge’s AI to dynamically change the training based on the user’s cognitive load, such as providing more or less guidance to the individual or introducing new training complexity in real-time,” the company told govtech.com. “This allows for training sessions tailored to the ability of the individual.”
