Recent work has combined pseudorandom starting structures and random techniques that use the framework of finite geometry.
Chris Edwards
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The scaling of LLMs, with their enormous memory-bandwidth requirements, comes at a high cost.
Spinning Electrons to Attain Low-Power Computing
Researchers are working to identify useful properties in antiferromagnets.
Answers Begin to Surface to Deep Earth Puzzles
Evidence from high orbit is helping to shape understanding of the churning processes that shape oceans and continents.
The apparent ability of LLMs to write functioning source code has simultaneously caused celebration over the potential for massive increases in programmer productivity and consternation among teachers.
Emulating the behavior of exotic quantum states may give quantum computing a better way of squeezing out troublesome noise and errors.
Historic Algorithms Help Unlock Shortest-Path Problem Breakthrough
By revisiting key algorithms from computing, a team unlocked hidden efficiency in a long-standing computer science problem.
Accelerating Optical Communications with AI
Communications efficiency helps bring photonics to artificial intelligence.
AlphaFold Spreads through Protein Science
Based on machine learning, DeepMind's code now lies at the heart of a variety of protein-structure tools and workflows. It may ultimately be replaced by models that are bigger but faster.
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