Meta on Wednesday announced its first major model since CEO Mark Zuckerberg rebooted the company’s AI efforts last year under ...
The ability of different genetic variants—changes to one or more building blocks of DNA—to cause disease, and to what extent, ...
State-of-the-art AI model accurately predicting unseen biological experiments X-Cell is trained on X-Atlas/Pisces, the largest and most context-diverse genome-wide perturbation dataset ever reported ...
Late in 2025, we covered the development of an AI system called Evo that was trained on massive numbers of bacterial genomes. So many that, when prompted with sequences from a cluster of related genes ...
This was our first time driving a Model S Plaid with the $24,000 Track package, which brings carbon-ceramic rotors with larger calipers and wider forged-aluminum wheels wearing tenacious Goodyear ...
“Next-generation semiconductor devices are adopting three-dimensional (3D) architectures with feature sizes in the few-nanometer regime, creating a need for atomic-scale metrology to identify and ...
bead implements a complete pipeline for linguistic research: from lexical resource construction through experimental deployment to model training with active learning. It handles the combinatorial ...
“Multiscale Structural Mechanics: Top-Down Modeling of Composite Structures Using Mechanics of Structure Genome” delivers a unified approach to composites modeling based on the concept of structure ...
Google DeepMind today open-sourced AlphaGenome, an artificial intelligence model that researchers can use to study biological processes. The Alphabet Inc. unit first debuted the algorithm in June.
A Florida python hunter captured a 202-pound female Burmese python in the Everglades. The captured snake is the second heaviest on record in Florida, measuring 16 feet, 10 inches long. Burmese pythons ...
Tesla just objectively decreased the value of the Model 3 and Model Y. On Thursday, the company said it’s paywalling its lane-centering feature, Autosteer, for new purchases of the two EVs in the US ...
Factoring out nucleotide-level mutation biases from antibody language models dramatically improves prediction of functional mutation effects while reducing computational cost by orders of magnitude.
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