Protein engineering is a field primed for artificial intelligence research. Each protein is made up of amino acids; to ...
Organizers from Tennessee, Wisconsin, and Arizona share strategies for resisting data centers in other communities.
The moratorium is the first of its type to pass a legislative chamber, but about a dozen other states have pending proposals.
New AI model enable robots to perform unseen tasks, hinting at a shift toward general-purpose robotic intelligence.
Using artificial-intelligence to teach other models can be cheaper and faster than building them from scratch, but this ...
Stanford's 2026 AI Index: frontier models fail one in three attempts, lab transparency is declining, and benchmarks are ...
Georgia Tech researchers have created a new AI model for decision-focused learning (DFL), called Diffusion-DFL. Recent tests ...
Abstract: In recent years, diffusion models (DMs) have drawn significant attention for their success in approximating data distributions, yielding state-of-the-art generative results. Nevertheless, ...
Abstract: This article introduces a novel approach that combines a multimodel technique with model-free adaptive control (MFAC) to address the limitations of the full-form dynamic linearization (FFDL) ...
Washington-based Starcloud launched a satellite with an Nvidia H100 graphics processing unit in early November, sending a chip into outer space that's 100 times more powerful than any GPU compute that ...
Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...
block-insertion-theorem is a reproducible reference implementation of a combinatorial result about block insertion and counting linear extensions of posets. The repository provides a formal JSON ...
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