The traditional approach to artificial intelligence development relies on discrete training cycles. Engineers feed models vast datasets, let them learn, then freeze the parameters and deploy the ...

A call to reform AI model-training paradigms from post hoc alignment to intrinsic, identity-based development.

For years, the AI community has worked to make systems not just more capable, but more aligned with human values. Researchers have developed training methods to ensure models follow instructions, ...

The CP2K open-source package is among the top three most widely used research software suites worldwide for simulating the ...

Sally Said So Professional Dog Training grows Triangle coverage with structured in home programs that build calm, ...

Google signals search’s next phase: small multimodal models on devices infer intent from behavior before a query is ever ...

Sally Said So Professional Dog Training expands Upstate services with in home training and group classes designed for ...

Order doesn’t always form perfectly—and those imperfections can be surprisingly powerful. In materials like liquid crystals, ...

With rapid changes in all aspects of business, maybe safety organizations should take this opportunity to re-evaluate the effectiveness of their safety training. One reason this might be an ideal time ...

In 2016, his close partner, AI engineer Eugenia Kuyda, rebuilt him as a chatbot, a grief experiment that later evolved into ...

Neel Somani, whose academic background spans mathematics, computer science, and business at the University of California, Berkeley, is focused on a growing disconnect at the center of today’s AI ...

Research team debuts the first visual pre-training paradigm tailored for CTR prediction, lifting Taobao GMV by 0.88% (p < 0.01) via user-intent contrastive learning that mines interest-centric image ...