MIT researchers develop an AI model that can detect future lung cancer risk
The name Sybil has its origins in the oracles of Ancient Greece, also known as sibyls: feminine figures who were relied upon to relay divine knowledge of the unseen and...
Putting clear bounds on uncertainty
In science and technology, there has been a long and steady drive toward improving the accuracy of measurements of all kinds, along with parallel efforts to enhance the resolution of...
MIT Solve announces 2023 global challenges and Indigenous Communities Fellowship
MIT Solve, an MIT initiative with a mission to drive innovation to solve world challenges, announced today the 2023 Global Challenges and the Indigenous Communities Fellowship. Solve invites anyone from...
How do you solve a problem like out-of-control AI?
Last week Google revealed it is going all in on generative AI. At its annual I/O conference, the company announced it plans to embed AI tools into virtually all of...
Automating the math for decision-making under uncertainty
One reason deep learning exploded over the last decade was the availability of programming languages that could automate the math — college-level calculus — that is needed to train each...
Solving a machine-learning mystery
Large language models like OpenAI’s GPT-3 are massive neural networks that can generate human-like text, from poetry to programming code. Trained using troves of internet data, these machine-learning models take...
3 Questions: Leo Anthony Celi on ChatGPT and medicine
Launched in November 2022, ChatGPT is a chatbot that can not only engage in human-like conversation, but also provide accurate answers to questions in a wide range of knowledge domains....
Helping companies deploy AI models more responsibly
Companies today are incorporating artificial intelligence into every corner of their business. The trend is expected to continue until machine-learning models are incorporated into most of the products and services...
Efficient technique improves machine-learning models’ reliability
Powerful machine-learning models are being used to help people tackle tough problems such as identifying disease in medical images or detecting road obstacles for autonomous vehicles. But machine-learning models can...
