Test environments don’t fail because teams lack discipline or automation. They fail because dependent systems evolve faster ...

A new guide from Alpha Software explores how manufacturing inspection software helps detect quality issues early, reduce ...

Background Little is known about the association between direct pollen exposure and cognitive performance. The aim of our ...

Loose ends bother some minds more than others. When the world feels messy, a story that ties every thread into one knot can ...

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

I wanted to build an entire production‑ready business application by directing an AI inside a vibe coding environment without writing a single line of code myself.

Medicaid managed care organizations should prioritize children in low-opportunity neighborhoods to optimize health care utilization, improve minority health, and address health-related social needs.

Understanding the aniline point of base oils is key for lubricant formulation, affecting solvency and the effectiveness of additives in various applications.

Enterprises seeking to make good on the promise of agentic AI will need a platform for building, wrangling, and monitoring AI agents in purposeful workflows. In this quickly evolving space, myriad ...

Surveillance technology intended to protect endangered species is weaponized against locals, with repercussions that range ...

More than half of transplant recipients in a large analysis developed chronic graft-versus-host disease, and 15% died from causes other than cancer relapse. Those numbers capture the uneasy truth of ...

Researchers from Google and MIT published a paper describing a predictive framework for scaling multi-agent systems. The framework shows that there is a tool-coordination trade-off and it can be used ...