The next major evolution will come from multi-agent systems—networks of smaller, specialized AI models that coordinate across ...

The open-source libraries were created by Salesforce, Nvidia, and Apple with a Swiss group Vulnerabilities in popular AI and ...

Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but ...

The largest single cell perturbation dataset to-date will be generated and released open source in a new team effort.

Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...

Trained on 9.7 trillion tokens of evolutionary data, EDEN designs therapeutics from large gene insertion to antimicrobial peptides.

We present Magma, a foundation model that serves multimodal AI agentic tasks in both the digital and physical worlds. Magma is a significant extension of vision-language (VL) models in that it not ...

Abstract: Tsetlin Machine (TM) is a recent automaton-based algorithm for reinforcement learning. It has demonstrated competitive accuracy on many popular benchmarks while providing a natural ...

New York and Philadelphia Edge Network Activation Positions Datavault AI to Capture Significant Share of Insurance and ...

Abstract: The generalized Hamiltonian system theory (GHST) is a powerful tool for excitation control in high-dimensional non-linear power systems, but relies on reduced-order dynamics, given the ...