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

TactStyle, a system developed by CSAIL researchers, uses image prompts to replicate both the visual appearance and tactile properties of 3D models.

A new technique automatically guides an LLM toward outputs that adhere to the rules of whatever programming language or other format is being used.

By eliminating redundant computations, a new data-driven method can streamline processes like scheduling trains, routing delivery drivers, or assigning airline crews.

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.

The approach maintains an AI model’s accuracy while ensuring attackers can’t extract secret information.

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.

“InteRecon” enables users to capture items in a mobile app and reconstruct their interactive features in mixed reality. The tool could assist in education, medical environments, museums, and more.

The framework helps clinicians choose phrases that more accurately reflect the likelihood that certain conditions are present in X-rays.

This new framework leverages a model’s reasoning abilities to create a “smart assistant” that finds the optimal solution to multistep problems.