The U.S. Department of Defense (DoD) has awarded Parallel Works, an Illinois-based software company spun out of Argonne ...

Data keeps growing exponentially, driving demand for better memory storage solutions. Synthetic DNA is a strong candidate to ...

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...

Quantum exposure cuts across data, supplier contracts, capital allocation, customer commitments, regulatory adequacy and ...

The series uses Pylontech’s in-house 588 Ah and 601 Ah cells for grid-side and large commercial and industrial (C&I) storage ...

Instagram’s new feed controls, Google’s AI data training changes, a 4x faster DiffusionGemma model, Insta360 Luna Ultra, and ...

Regulators are accelerating oversight of algorithmic and personalized pricing with the Federal Trade Commission (FTC) and key states moving ...

Penn Engineers have developed an open-source algorithm that combines the speed of AI with the precision of geometry to ...

Algorithmic transparency requirements—which require organizations to disclose how their automated systems work—have expanded ...

Instead of writing rules for more efficient AI reasoning themselves, researchers let a coding agent hunt for better control algorithms in a simulated environment. The result beats established methods ...

Abstract: Geophysical joint inversion is more frequently applied to deep crust probes. For the potential field data, it requires the introduction of large-scale observed data and sensitivity matrices.