Machine learning models—especially large-scale ones like GPT, BERT, or DALL·E—are trained using enormous volumes of data.

AI is everywhere. From the massive popularity of ChatGPT to Google cramming AI summaries at the top of its search results, AI ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Samsung's acquisition of digital healthcare brand Xealth shows how wearable health tech will be used in the next era of healthcare.

NEW YORK, NY, UNITED STATES, July 10, 2025 /EINPresswire.com/ -- As lead‑acid batteries continue to play a crucial role in ...

With Lottery Defeated Reviews on hand, I discovered a data-driven approach—using historical patterns, algorithmic analysis, ...

Background The burden of cardiovascular events in Africa is projected to rise significantly in the coming decade, placing ...

This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

New research highlights how astrocytes, long considered mere support cells, actively shape brain network dynamics.

For AI to have a meaningful impact, it must be deployed not just as a technological fix, but as a catalyst for systemic reform, write David Strain and colleagues Health systems globally are under ...

Antibody–siRNA conjugates (ARCs) are a type of promising drug modalities for cancer therapy. However, initial reports of ARCs present the gene knockdown effect only in limited tissues (e.g., muscles) ...