Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by ...
Understanding a molecule that plays a key role in nitrogen fixing – a chemical process that enables life on Earth – has long ...
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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
Quantum computers could revolutionize everything from drug discovery to business analytics—but their incredible power also ...
Now they’re being clogged with AI slop. Scientific publishing has always had its plumbing problems. Even before ChatGPT, journal editors struggled to control the quantity and quality of submitted work ...
Jefferies thinks quantum computing could break Bitcoin in years, not decades.
ACM Fellows are selected by their peers for achieving remarkable results through their technical innovations and/or service to the field.
While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...
NVIDIA's CEO Jensen Huang sat down with BlackRock's Larry Fink at Davos to discuss why AI represents the largest ...
The math of data structures helps us understand how different storage systems come with different trade-offs between ...
Researchers across biology, philosophy, and AI are split on what counts as a mind—and whether today’s systems qualify.
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