Algorithms
Algorithms

Study: AI models fail to reproduce human judgements about rule violations

Models trained using common data-collection techniques judge rule violations more harshly than humans would, researchers report.

Training machines to learn more like humans do

Researchers identify a property that helps computer vision models learn to represent the visual world in a more stable, predictable way.

Researchers create a tool for accurately simulating complex systems

The system they developed eliminates a source of bias in simulations, leading to improved algorithms that can boost the performance of applications.

Researchers develop novel AI-based estimator for manufacturing medicine

A collaborative research team from the MIT-Takeda Program combined physics and machine learning to characterize rough particle surfaces in pharmaceutical pills and powders.

AI system can generate novel proteins that meet structural design targets

These tunable proteins could be used to create new materials with specific mechanical properties, like toughness or flexibility.

Drones navigate unseen environments with liquid neural networks

MIT researchers exhibit a new advancement in autonomous drone navigation, using brain-inspired liquid neural networks that excel in out-of-distribution scenarios.

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.