We proposed epistemic parity as a methodology for measuring the utility of differential privacy (DP) synthetic data in ...

Executives are making significant investment decisions based on AI outcomes they cannot independently verify. A machine ...

Target built a generative AI system to improve marketing campaign forecasting by retrieving and ranking similar historical ...

Purdue University's online master's in Artificial Intelligence will mold the next generation of AI experts and engineers to help meet unprecedented industry demand for skilled employees. The ...

Moving forward requires coordinated technical, policy, and educational responses. An outright ban on AI in peer review, as is ...

Robots with increasingly precise dexterity are becoming essential in everyday life and industrial settings, from assembling tiny smartphone components to assisting doctors in surgery. However, ...

LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.

From replacement selection to BRD resilience, tissue sampling units provide a fast, clean and reliable path to the genomic ...

Structural biology has long been a leader in open data culture; the Protein Data Bank (PDB), Electron Microscopy Data Bank (EMDB), and Biological Magnetic ...

Learning outcomes and objectives are the fundamental elements of most well-designed courses. Well-conceived outcomes and objectives serve as guideposts to help instructors work through the design of a ...

Mistral AI has released Leanstral 1.5 as a free Apache-2.0 model for Lean 4 verification. Lean 4 is a proof-assistant and programming environment for machine-checkable proofs, and proof engineering ...