It is important to clarify: we do not use VLMs to drive the robot. Using a heavy cloud model to steer in real time would ...

New research from the University of Kansas uses network science to determine why people make mistakes when lip-reading. Michael Vitevitch, professor of speech-language-hearing at KU, and his ...

Wild greater honeyguide birds in sub-Saharan Africa have learned to recognize specific human vocal calls used by local ...

Learn how to build a 30-day AI learning plan using ChatGPT, Codex, and Images 2.0 to automate daily office tasks and advance your career.

Cloudflare is making AI crawler blocking the default for many websites while introducing new controls and payment models for ...

AI is already shaping the litigation process. And while it can benefit that process, it also introduces new risks. In the latest ...

As humans, our eyes take in two-dimensional images that our brains convert to three-dimensional experiences. This ability enables us to be aware of our position in space, judge distances, possess ...

For decades, neuroscientists have known that specific regions in the brain's left hemisphere are responsible for processing language. However, a new study by MIT researchers shows that language ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

Bigger has defined AI from day one. New data says task-specific small models beat frontier LLMs on accuracy, cost and speed — ...

Abstract: The rapid expansion of the Internet of Things (IoT) has introduced new challenges in Human Activity Recognition (HAR), particularly in dynamic environments where new and unforeseen ...

Abstract: Multimodal large language models (MLLMs) have made significant strides by integrating visual and textual modalities. A critical factor in training MLLMs is the quality of image-text pairs ...