Artificial Intelligence
Artificial Intelligence

MIT CSAIL researchers discuss frontiers of generative AI

Experts convene to peek under the hood of AI-generated code, language, and images as well as its capabilities, limitations, and future impact.

Understanding our place in the universe

Martin Luther King Jr. Scholar Brian Nord trains machines to explore the cosmos and fights for equity in research.

A four-legged robotic system for playing soccer on various terrains

“DribbleBot” can maneuver a soccer ball on landscapes such as sand, gravel, mud, and snow, using reinforcement learning to adapt to varying ball dynamics.

Speeding up drug discovery with diffusion generative models

MIT researchers built DiffDock, a model that may one day be able to find new drugs faster than traditional methods and reduce the potential for adverse side effects.

A method for designing neural networks optimally suited for certain tasks

With the right building blocks, machine-learning models can more accurately perform tasks like fraud detection or spam filtering.

Bacterial injection system delivers proteins in mice and human cells

With further development, the programmable system could be used in a range of applications including gene and cancer therapies.

Learning to grow machine-learning models

New LiGO technique accelerates training of large machine-learning models, reducing the monetary and environmental cost of developing AI applications.

Detailed images from space offer clearer picture of drought effects on plants

J-WAFS researchers are using remote sensing observations to build high-resolution systems to monitor drought.

The Fundamentals Of Machine Learning

The main purpose of ML (machine learning) is to create an automatic data model for the purpose of analysis. Thus ML is to create a system that can learn from the data according to the algorithm used. The result can be found by mapping the output to the…

Mining the right transition metals in a vast chemical space

Computational chemists design better ways of discovering and designing materials for energy applications.