AlphaFold didn't accelerate biology by running faster experiments. It changed the engineering assumptions behind protein structure prediction.
C compiler, LustreC, into a generator of both executable code and associated specification. Model-based design tools are ...
Most languages use word position and sentence structure to extract meaning. For example, "The cat sat on the box," is not the ...
Discover why algorithms and data structures form the foundation of contemporary computing. Discover how DS&A spurs innovation ...
Vector Post-Training Quantization (VPTQ) is a novel Post-Training Quantization method that leverages Vector Quantization to high accuracy on LLMs at an extremely low bit-width (<2-bit). VPTQ can ...
Abstract: Iterative decoding algorithms based on the alternating direction method of multipliers (ADMM) decoding of low density parity check (LDPC) codes has emerged as an alternating decoding method ...
Morning Overview on MSN
Your brain has a learning shortcut that AI still can’t copy
Human brains can turn a single messy experience into a lasting skill, while even the most advanced artificial intelligence ...
One downside of enterprise AI is that many systems still function as a black box — they produce results but offer little visibility into how they reached them. NetSuite is designing its systems around ...
As artificial intelligence (AI) continues to revolutionize the economy, courts are increasingly being asked to determine ...
Tech Xplore on MSN
Overparameterized neural networks: Feature learning precedes overfitting, research finds
Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, structureless data. Yet when trained on datasets with structure, they learn the ...
For all 4 algorithms, more balanced classes (multiplier: 0.93-0.96 for a 1% increase in minority class proportion) were associated with decreased sample size. Other characteristics varied in ...
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