A new study reveals that top models like DeepSeek-R1 succeed by simulating internal debates. Here is how enterprises can harness this "society of thought" to build more robust, self-correcting agents.

Fabian Fuchs on scaling under pressure and why AI is his next build. Some leaders operate. Others build. Fabian Fuchs does both and does it under pressure.From ...

In A Nutshell Personalized AI “health agents,” virtual drug trials, and automated compliance tools could quietly speed up ...

Objectives: To estimate the prevalence of ambient artificial intelligence (AI) documentation tool adoption among US hospitals using Epic electronic health record (EHR) s ...

The journey from a fledgling startup to a powerhouse enterprise is rarely paved with luck; instead, it is built upon the ...

Background Cardiogenic shock (CS) complicating acute myocardial infarction (AMI) carries high mortality. Early ...

Security teams often spend days manually turning long incident reports and threat writeups into actionable detections by ...

EPFL professor Robert West and invited professor Ágnes Horvát discuss how the rise of AI is transforming the dissemination ...

A critical Grist-Core flaw (CVE-2026-24002, CVSS 9.1) allows remote code execution through malicious formulas when Pyodide ...

In one day, 433 people won the Philippine lottery jackpot. What were the chances? On October 1, 2022, something strange ...

CTEM is a continuous approach that helps cybersecurity teams identify, prioritize, & validate exploitable risks using threat ...