Helping machines understand visual content with AI
Coactive, founded by two MIT alumni, has built an AI-powered platform to unlock new insights from content of all types.
Learn about artificial intelligence, GPT usage, prompt engineering and other technology news and updates from Land of GPT. The site aggregates articles from official RSS feeds under their original authorship. Each article has a do-follow link to the original source.
Coactive, founded by two MIT alumni, has built an AI-powered platform to unlock new insights from content of all types.
In this series of posts, you will learn how to build intelligent AI voice agents using Pipecat, an open-source framework for voice and multimodal conversational AI agents, with foundation models…
Radial is the largest 3PL fulfillment provider, also offering integrated payment, fraud detection, and omnichannel solutions to mid-market and enterprise brands. In this post, we share how Radial optimized the…
A team of MIT researchers founded Themis AI to quantify AI model uncertainty and address knowledge gaps.
With demand for cement alternatives rising, an MIT team uses machine learning to hunt for new ingredients across the scientific literature.
SketchAgent, a drawing system developed by MIT CSAIL researchers, sketches up concepts stroke-by-stroke, teaching language models to visually express concepts on their own and collaborate with humans.
Courses on developing AI models for health care need to focus more on identifying and addressing bias, says Leo Anthony Celi.
PhD student Sarah Alnegheimish wants to make machine learning systems accessible.
Researchers redesign a compact RNA-guided enzyme from bacteria, making it an efficient editor of human DNA.
Through collaborations with organizations like BREIT in Peru, the MIT Institute for Data, Systems, and Society is upskilling hundreds of learners around the world in data science and machine learning.