Engineering in harmony
How does an ensemble play music together while apart? This was the question facing Frederick Ajisafe and the rest of the MIT Wind Ensemble (MITWE) at the start of the...
2022-23 Takeda Fellows: Leveraging AI to positively impact human health
The MIT-Takeda Program, a collaboration between MIT’s School of Engineering and Takeda Pharmaceuticals Company, fuels the development and application of artificial intelligence capabilities to benefit human health and drug development....
Joining the battle against health care bias
Medical researchers are awash in a tsunami of clinical data. But we need major changes in how we gather, share, and apply this data to bring its benefits to all,...
Gaining real-world industry experience through Break Through Tech AI at MIT
Taking what they learned conceptually about artificial intelligence and machine learning (ML) this year, students from across the Greater Boston area had the opportunity to apply their new skills to...
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...
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...
