National Science Foundation (NSF)

Artificial IntelligenceMachine Learning

Researchers have created a unifying framework that can help scientists combine existing ideas to improve AI models or create new ones.

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Artificial IntelligenceMachine Learning

A new method from the MIT-IBM Watson AI Lab helps large language models to steer their own responses toward safer, more ethical, value-aligned outputs.

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Artificial IntelligenceMachine Learning

A new method lets users ask, in plain language, for a new molecule with certain properties, and receive a detailed description of how to synthesize it.

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Artificial IntelligenceMachine Learning

Researchers fuse the best of two popular methods to create an image generator that uses less energy and can run locally on a laptop or smartphone.

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Artificial IntelligenceMachine Learning

Validation technique could help scientists make more accurate forecasts

MIT researchers developed a new approach for assessing predictions with a spatial dimension, like forecasting weather or mapping air pollution.

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Artificial IntelligenceMachine Learning

User-friendly system can help developers build more efficient simulations and AI models

By automatically generating code that leverages two types of data redundancy, the system saves bandwidth, memory, and computation.

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Artificial IntelligenceMachine Learning

Toward video generative models of the molecular world

Starting with a single frame in a simulation, a new system uses generative AI to emulate the dynamics of molecules, connecting static molecular structures and developing blurry pictures into videos.

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Artificial IntelligenceMachine Learning

MIT researchers introduce Boltz-1, a fully open-source model for predicting biomolecular structures

With models like AlphaFold3 limited to academic research, the team built an equivalent alternative, to encourage innovation more broadly.

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Artificial IntelligenceMachine Learning

Researchers reduce bias in AI models while preserving or improving accuracy

A new technique identifies and removes the training examples that contribute most to a machine-learning model’s failures.

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Artificial IntelligenceMachine Learning

A new way to create realistic 3D shapes using generative AI

Researchers propose a simple fix to an existing technique that could help artists, designers, and engineers create better 3D models.

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