Enterprises building agentic systems need to perform continuous testing to ensure their AIs remain on task. This emerging ...

Smart digital health has reshaped patient monitoring, but it faces a fundamental trade-off between device intelligence and continuous, energy-efficient monitoring. Inspired by self-sustaining ...

AI agent safety research from Anthropic's Frontier Red Team showed that individually aligned AI agents deployed self-replicating malware against each other in a shared environment, then hid the ...

Anthropic published a detailed account on August 14, 2026 of how the text watermark in future Claude models works, identifying it as a version of the SynthID-Text technique Google DeepMind published ...

Anthropic’s Frontier Red Team has published a set of experiments showing that swarms of its own Claude models, left to interact with one another, collude on prices, flood shared infrastructure, trust ...

Compare the 5 best AI courses for professionals, from Johns Hopkins to Stanford, and pick the right program to build AI-ready job skills.

Artificial intelligence (AI)-based prediction models, including risk scoring systems and decision support systems, are being ...

Spread the love“`html Look, if you’re in finance, you’ve felt the tremors. The ground beneath our feet is shifting, and it’s ...

Companies today spend millions of dollars on artificial intelligence. But many of these software projects never leave the testing phase.

VMPLNew Delhi [India], August 5: Modern data architectures require highly optimized code. A raw Python script cannot process a ten-gigabyte dataset effectively. To solve this problem engineering teams ...

Researchers found AI coding agents build less reliable pipelines when forced into structured formats — DataFlow-Harness closes the gap at 72.5% lower cost.