Vibe coding creates unreliable software and risks long-term model collapse, where systems degrade due to compounding errors ...
In analyzing dozens of AI PoCs that sailed on through to full production use — or didn’t — six common pitfalls emerge.
While self-healing agentic test suites can help eliminate the manual intervention consuming engineering cycles, there are key ...
The TRM takes a different approach. Jolicoeur-Martineau was inspired by a technique known as the hierarchical reasoning model ...
The protocol offers a standardized framework that defines how AI systems securely connect with trusted, validated knowledge ...
Opinion
A Future Beyond Animal Testing: Why ORIVA Matters and How Computational Models Bridge the Gap
Animal testing is costly, slow, and poorly predictive. ORIVA offers a human-relevant alternative with the potential to change that.
Baseten launches a new AI training infrastructure platform that gives developers full control, slashes inference costs by up to 84%, and eliminates vendor lock-in across multi-cloud environments.
Aptera Motors inches closer to scaled manufacturing of its flagship solar EV with a new validation assembly line.
Researchers have developed a powerful new software toolbox that allows realistic brain models to be trained directly on data. This open-source framework, called JAXLEY, combines the precision of ...
The rapid development and integration of artificial intelligence (AI), including predictive, generative, and emerging agentic ...
A tool called AI-Newton can derive scientific laws from raw data, but is some way from developing human-like reasoning.
As institutions explore generative AI for transaction monitoring, sanctions screening and KYC processes, questions about ...
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