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

"You are a fish, you must escape the kitchen." ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

Knowing how to talk to AI" is no longer enough. To stay relevant, developers and workers must master the systematic ...

Artificial intelligence is in an arms race of scale with bigger models, more parameters and more compute driving competing announcements that seem to come out on a daily basis. AI foundation model ...

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...

Microsoft's new AI image model is available to test. It's in Bing Image Creator, Bing mobile app, and Bing search bar. You can test it against OpenAI's image models. Ever use Microsoft Copilot or Bing ...

Fact check all AI outputs. While AI can pull in a lot of data, there are still gaps in the knowledge it presents. AI hallucinations, where an AI model presents false information as fact, can often ...

The disconnect between enterprise confidence and AI capability is real. MIT reports fewer than 5% of enterprises have achieved measurable ROI from AI, yet Cisco claims 13% feel ready. The gap isn't ...

AI hallucinations are one of the most serious challenges facing generative AI today. These errors go far beyond minor factual mistakes. In real-world deployments, hallucinations have led to incorrect ...

Different AI models win at images, coding, and research. App integrations often add costly AI subscription layers. Obsessing over model version matters less than workflow. The pace of change in the ...