Imaging technique removes the effect of water in underwater scenes
The color-correcting tool, known as “SeaSplat,” reveals more realistic colors of underwater features.
The color-correcting tool, known as “SeaSplat,” reveals more realistic colors of underwater features.
Words like “no” and “not” can cause this popular class of AI models to fail unexpectedly in high-stakes settings, such as medical diagnosis.
With a novel simulation method, robots can guess the weight, softness, and other physical properties of an object just by picking it up.
The CausVid generative AI tool uses a diffusion model to teach an autoregressive (frame-by-frame) system to rapidly produce stable, high-resolution videos.
New type of “state-space model” leverages principles of harmonic oscillators.
A new method helps convey uncertainty more precisely, which could give researchers and medical clinicians better information to make decisions.
New phase will support continued exploration of ideas and solutions in fields ranging from AI to nanotech to climate — with emphasis on educational exchanges and entrepreneurship.
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.
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.