Year 2024 face_with_colon_three
Wasted radio signals can be converted into electricity using a new kind of antenna rooted in how electrons behave at a quantum level.
Year 2024 face_with_colon_three
Wasted radio signals can be converted into electricity using a new kind of antenna rooted in how electrons behave at a quantum level.
A supermassive black hole in the center of the Milky Way galaxy is creating a light show that’s intriguing astronomers.
Flares of light have been observed in a disk orbiting the black hole Sagittarius A*, according to a team of astrophysicists studying the black hole who published their findings Tuesday in The Astrophysical Journal Letters. Known as an accretion disk, it’s hot, contains a steady flow of materials like gas or plasma, and flickers constantly. The disks emit light that can be detected using infrared and X-ray instruments, which helps astronomers better observe the black holes the disks orbit.
Posted in robotics/AI | Leave a Comment on AI-designed chips are so weird that ‘humans cannot really understand them’ — but they perform better than anything we’ve created
AI models have, within hours, created more efficient wireless chips through deep learning, but it is unclear how their ‘randomly shaped’ designs were produced.
Experimental evidence for charge coupling to ferroelectric soft mode is scarce. Here, the authors find a photogenerated coherent phonon coupling to the electronicion above the bandgap in the van der Waals ferroelectric semiconductor NbOI2.
The USPTO’s Patent Trial and Appeal Board (PTAB) overturned an examiner’s rejection of a patent application from an inventor.
A brief guide to habits that separate deep understanding from superficial knowledge — and how to cultivate them.
This approach significantly enhances performance, as observed in Atari video games and several other tasks involving multiple potential outcomes for each decision.
“They basically asked what happens if rather than just learning average rewards for certain actions, the algorithm learns the whole distribution, and they found it improved performance significantly,” explained Professor Drugowitsch.
In the latest study, Drugowitsch collaborated with Naoshige Uchida, a professor of molecular and cellular biology at Harvard University. The goal was to gain a better understanding of how the potential risks and rewards of a decision are weighed in the brain.
Using machine learning, a team of researchers in Canada has created ultrahigh-strength carbon nanolattices, resulting in a material that’s as strong as carbon steel, but only as dense as Styrofoam.
The team noted last month that it was the first time this branch of AI had been used to optimize nano-architected materials. University of Toronto’s Peter Serles, one of the authors of the paper describing this work in Advanced Materials, praised the approach, saying, “It didn’t just replicate successful geometries from the training data; it learned from what changes to the shapes worked and what didn’t, enabling it to predict entirely new lattice geometries.”
To quickly recap, nanomaterials are engineered by arranging atoms or molecules in precise patterns, much like constructing structures with extremely tiny LEGO blocks. These materials often exhibit unique properties due to their nanoscale dimensions.