In an age which is as transformational as it is transforming, education needs to evolve to remain effective and productive. Traditional ...

By replacing repeated fine‑tuning with a dual‑memory system, MemAlign reduces the cost and instability of training LLM judges ...

Hooker says she wants to “eliminate prompt engineering” with AI models that intuitively adapt to varying tasks.

Rules-based automation (RBA) and learning are two training mechanisms in robotics. While there are many others, these are two ...

The four faculty that assembled to explore artificial general intelligence represent multiple disciplines across UC San Diego ...

With the volume of risks outpacing human capacity, AI is playing an increasingly important role in expanding the way many ...

Yann LeCun challenges humanoid robots built on precomputed demos, arguing for explicit world models so teams build adaptable ...

In a world dominated by fast-paced digital entertainment, where attention is constantly pulled in multiple directions, puzzle ...

Oh, sure, I can “code.” That is, I can flail my way through a block of (relatively simple) pseudocode and follow the flow. I ...

The findings, published in Scientific Reports, point to a major shift. Generative AI systems have now reached a level where they can outperform the average human on certain creativity measures. At the ...

LinkedIn’s head of engineering for talent solutions explains how fine-tuned LLMs and agentic AI architectures are replacing traditional search methods to save recruiters four hours per role ...

World models are AI systems that understand physics, space, and cause-and-effect—unlike chatbots that only predict text. Tech ...