As AI tools evolve at a rapid pace, smaller, more flexible learning environments are well-positioned to test new approaches, develop expectations, and adjust as needed.

Big Tech’s race to leapfrog the latest AI models continues with the launch of ByteDance’s next-gen video generator. In a blog ...

Mass General Brigham researchers are betting that the next big leap in brain medicine will come from teaching artificial ...

A better model would take these factors into account to offer a more realistic recommendation, perhaps by providing an option ...

In A Nutshell Harvard researchers developed BrainIAC, a single AI model that can be adapted to analyze brain scans for ...

At a landmark summit where China’s biggest artificial intelligence players gathered in Beijing, one question cut to the heart of the US-China race for tech supremacy: What are the chances of a Chinese ...

Choosing AI in 2026 is no longer about picking the most powerful model; it is about matching capabilities to tasks, risks, and business outcomes.

A new study reveals that top models like DeepSeek-R1 succeed by simulating internal debates. Here is how enterprises can harness this "society of thought" to build more robust, self-correcting agents.

AI 2.0 is different and challenges that belief as larger models are proving far less valuable in practice. Rather than ...

Medical artificial intelligence is a hugely appealing concept. In theory, models can analyze vast amounts of information, ...