To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...

Advances in instrumentation, modeling and control are more fully understood and utilized when assisted by first-principle, ...

Threat actors are operationalizing AI to scale and sustain malicious activity, accelerating tradecraft and increasing risk for defenders, as illustrated by recent activity from North Korean groups ...

Karen Swanepoel, executive director of the Southern African Essential Oil Producers’ Association, spoke to Octavia Avesca ...

The preference for bitcoin as a long-term store of value was referred to as the most dominant response in the recent Bitcoin ...

In which direction is America heading, amid the strategic cacophony of Trump’s second term—counter-revolution in the Caribbean, onslaught on Iran, somersaults on China? Analysis of the political ...

Q4 2026 Earnings Call March 4, 2026 5:00 PM ESTCompany ParticipantsGunnar Hansen - Director of Investor RelationsPeter Gassner ...

A portable version of the global model used by ECMWF to produce medium-range weather forecasts is being made openly available to all for the first time.

Following a strategic approach to cooling, power delivery and rack-level integration will help data centers boost AI compute density.

Amyloid PET has become a pivotal imaging biomarker for Alzheimer disease (AD), enabling in vivo detection and quantification of β-amyloid deposition. However, variability in quantitative measurements ...

MIT introduces Self-Distillation Fine-Tuning to reduce catastrophic forgetting; it uses student-teacher demonstrations and needs 2.5x compute.

Every AI model is trained on human data. But whose data is it—and who gave permission? A closer look at consent, bias, and the law behind AI training.