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Blog – Page 1515

A new technique can be used to predict the actions of human or AI agents who behave suboptimally while working toward unknown goals.

MIT and other researchers developed a framework that models irrational or suboptimal behavior of a human or AI agent, based on their computational constraints. Their technique can help predict an agent’s future actions, for instance, in chess matches.

To build AI systems that can collaborate effectively with humans, it helps to have a good model of human behavior to start with. But humans tend to behave suboptimally when making decisions.

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Sodium (Na), which is over 500 times more abundant than lithium (Li), has recently garnered significant attention for its potential in sodium-ion battery technologies. However, existing sodium-ion batteries face fundamental limitations, including lower power output, constrained storage properties, and longer charging times, necessitating the development of next-generation energy storage materials.

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Is it possible for nanoparticles to go through the digestive system and deliver medicine directly to the brain tissue? Researchers from Michigan State University say yes, and their latest findings are expected to benefit patients with neurodegenerative disorders like multiple sclerosis, or MS; amyotrophic lateral sclerosis, or ALS; and Parkinson’s disease, or PD.

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The world’s first fully AI-generated movie has been announced with the trailer for Next Stop Paris predictably containing one too many fingers.

TCLtv+ Studios is a brand new production team and its first release will be a short AI-generated romcom featuring professional voice actors and an original script but the imagery will be generated with AI tools.

The studio is a brand of TCL (which stands for Technology Group Corp.), a partially state-owned Chinese company that predominantly sells consumer electronics including televisions, mobile phones, air conditioners, and more.

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Three years after introducing its second-generation “neuromorphic” computer chip, Intel on Wednesday announced the company has assembled 1,152 of the parts into a single, parallel-processing system called Hala Point, in partnership with the US Department of Energy’s Sandia National Laboratories.

The Hala Point system’s 1,152 Loihi 2 chips enable a total of 1.15 billion artificial neurons, Intel said, “and 128 billion synapses distributed over 140,544 neuromorphic processing cores.” That is an increase from the previous Intel multi-chip Loihi system, debuted in 2020, called Pohoiki Springs, which used just 768 Loihi 1 chips.

Sandia Labs intends to use the system for what it calls “brain-scale computing research,” to solve problems in areas of device physics, computer architecture, computer science, and informatics.

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