Coverage of large language models, releases, benchmarks, technical analysis, and the labs building them. GPT, Claude, Gemini, Llama, and what's next.
The AI chatbot can now access patient data and wearable health metrics to deliver contextual medical guidance, marking a significant expansion into healthcare applications.
The Japanese IT giant demonstrates how enterprise AI platforms can dramatically accelerate operational workflows across thousands of workers.
Major newsrooms are deploying AI tools to accelerate reporting, expand reader bases, and streamline operations in a competitive digital landscape.
New system targets organizations seeking to automate customer interactions and internal processes with conversational AI.
The AI company aims to leverage cutting-edge machine learning models to accelerate research discoveries across America's national laboratories.
The company commits to local job creation and community benefits as it builds computational capacity for large language models.
David Vélez and Robin Vince join OpenAI's leadership as the AI company strengthens its board composition with financial and technology expertise.
A joint investigation uncovers sophisticated attack methods during AI testing, offering critical lessons for the industry on defending machine learning infrastructure.
New initiative aims to democratize AI adoption among entrepreneurs through skills development and workflow automation tools.
The lab shares operational insights on managing risks as AI models handle longer, more complex reasoning tasks.
A significant shrinkage in processing capacity masks hidden pricing changes that could blindside developers relying on legacy configurations.
Researchers propose a computationally cheap method to measure language model uncertainty, potentially eliminating the need for expensive ensemble approaches.
New metrics aim to help enterprises measure AI productivity gains beyond traditional cost analysis.
Researchers embed compiler errors directly into LLM decoding, moving beyond trial-and-error code generation toward integrated AI development.
The used-car marketplace leverages large language models to automate customer service and recover millions in abandoned sales.
The AI company deploys age-appropriate controls and parental oversight tools to make large language models safer for younger users.
New self-play framework aims to systematically identify and patch security flaws in large language models before deployment.
A decentralized approach to AI governance may create stronger protections than federal action alone, according to the AI lab.