Corporate AI agents favor simple workflows; 41.5% accept minute‑range latency
Corporate AI agents are being rolled out across enterprises not as fully autonomous bots but as tools that augment human workers on narrowly defined tasks.
Academic research, performance benchmarks, scientific breakthroughs, and peer-reviewed studies advancing AI frontiers.
Corporate AI agents are being rolled out across enterprises not as fully autonomous bots but as tools that augment human workers on narrowly defined tasks.
Why does the choice of a scraping tool matter for today’s AI projects? Teams building large‑scale language models or computer‑vision pipelines can’t afford noisy, throttled feeds; they need data that arrives fast, stays clean, and respects site...
Why does it matter when an AI claims it has checked its sources, only to point at broken URLs or generic reviews?
Evaluating the DeepAgents command‑line interface on Terminal Bench 2.0 raises a practical question: how do you run dozens of agent trials without drowning in setup overhead?
Anthropic’s latest experiment—handing Claude the role of interview‑er for AI testing—highlights a growing tension between cutting‑edge models and the practical steps needed to bring them into production.
Steve Hsu, a physicist known for his work on quantum foundations, has just put a new paper on the arXiv that builds an entire research agenda around a suggestion generated by GPT‑5.
OpenAI is rolling out a new internal check‑point it calls “Confessions,” a tool that asks language models to turn the spotlight on themselves after a conversation. The idea is to surface any hidden missteps that might slip past ordinary testing.
NVIDIA has rolled out a new research fellowship program that will award up to $60,000 to PhD candidates working on collaborative machine‑learning systems.
Why does a price drop on NVIDIA’s Jetson line matter now? The company announced a limited‑time cut that aligns with the holiday shopping window, targeting anyone building AI‑powered robots or edge‑computing projects.
Anthropic’s research agenda has always been framed around the darker side of artificial intelligence.
Why does a data program from Harvard matter when dozens of options crowd the market? While many providers promise quick certifications, the reality is that depth often comes with a longer commitment and a higher price tag.
The latest blinded tests put trust, ethics and safety front and center, asking a broad cross‑section of users to judge two versions of the same model. When the results came in, the gap between the newer release and its predecessor was stark.
Learn to build AI-powered apps without coding. Our comprehensive review of No Code MBA's course.
Curated collection of AI tools, courses, and frameworks to accelerate your AI journey.
Get the week's most important AI news delivered to your inbox every week.