The authors argue that generative AI now occupies a comparable position of societal impact and should be governed accordingly ...

Real-time insights and self-service analytics have become critical for survival in a rapidly evolving data landscape.

The transformation is documented in the study A Review of Drones in Smart Agriculture: Issues, Models, Trends, and Challenges ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Progress towards full AI-driven coding automation continues, but in steps rather than leaps, giving organizations time to ...

The Indian government has outlined plans to democratise AI infrastructure by expanding access to compute power, datasets and ...

When I look at where we are today as an industry, it feels a lot like the early days of the internet all over again.

Traditional security is reactive. Predictive security is proactive: identify risks before they materialize, intervene early, ...

The researchers concluded that there is likely a lingering influence of the historical IOP cutoff of 22 mm Hg when it comes to decision-making in clinicians. “It is essential for clinicians to ...

The organizations winning in 2026 will be companies whose product data is prepared for the algorithms powering procurement ...

Previously published by the National Institute of Environmental Health Sciences (NIEHS), EHP was one of the few peer-reviewed ...

In November, we joined more than 50,000 Indigenous and world leaders, diplomats, scholars and activists at the 30th United ...