Computer science and technology
Computer science and technology

Researchers leverage shadows to model 3D scenes, including objects blocked from view

This technique could lead to safer autonomous vehicles, more efficient AR/VR headsets, or faster warehouse robots.

Understanding the visual knowledge of language models

LLMs trained primarily on text can generate complex visual concepts through code with self-correction. Researchers used these illustrations to train an image-free computer vision system to recognize real photos.

A smarter way to streamline drug discovery

The SPARROW algorithm automatically identifies the best molecules to test as potential new medicines, given the vast number of factors affecting each choice.

Technique improves the reasoning capabilities of large language models

Combining natural language and programming, the method enables LLMs to solve numerical, analytical, and language-based tasks transparently.

Researchers use large language models to help robots navigate

The method uses language-based inputs instead of costly visual data to direct a robot through a multistep navigation task.

New algorithm discovers language just by watching videos

DenseAV, developed at MIT, learns to parse and understand the meaning of language just by watching videos of people talking, with potential applications in multimedia search, language learning, and robotics.

Mouth-based touchpad enables people living with paralysis to interact with computers

The startup Augmental allows users to operate phones and other devices using their tongue, mouth, and head gestures.

A technique for more effective multipurpose robots

With generative AI models, researchers combined robotics data from different sources to help robots learn better.

Looking for a specific action in a video? This AI-based method can find it for you

A new approach could streamline virtual training processes or aid clinicians in reviewing diagnostic videos.

Controlled diffusion model can change material properties in images

“Alchemist” system adjusts the material attributes of specific objects within images to potentially modify video game models to fit different environments, fine-tune VFX, and diversify robotic training.