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.
Chris Edwards
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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.
Error Control Begins to Shape Quantum Architectures
The overhead of error correction presents a serious challenge to scaling up quantum computing and may produce unexpected winners.
Reversible computing principles point a way toward more efficient computers.
Competition Makes Big Datasets the Winners
Measurement has driven research groups to home in on the most popular datasets, but that may change as metrics shift to real-world quality.
Neural Networks Learn to Speed Up Simulations
Physics-informed machine learning is gaining attention, but suffers from training issues.
Shape the Future of Computing
ACM encourages its members to take a direct hand in shaping the future of the association. There are more ways than ever to get involved.
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