Large language models lack grounding in physical causality — a gap world models are designed to fill. Here's how three distinct architectural approaches (JEPA, Gaussian splats, and end-to-end ...

These 10 companies are at the cutting edge of the AI revolution. Here's how they're driving innovation and leading the ...

A linguist explains what makes human English human, and why you shouldn’t overdo it with large language models.

What makes this particularly dangerous in enterprise and production contexts is not just that the model gets it wrong, but ...

People often seem to understand language before they have actually heard enough words to determine its structure. In everyday ...

Researchers discover that the brain proactively builds sentence structures during speech using predictive processing, explaining why second-language listening is difficult.

Adobe is launching customizable AI image generators that can mimic specific artistic styles and character designs. The Firefly Custom Models are available in public beta starting today, allowing ...

DoorDash has launched a multimodal machine learning system that aligns product images, text, and user queries in a shared ...

Background: Large language models (LLMs) can generate outputs understandable by humans, such as answers to medical questions and radiology reports. With the rapid development of LLMs, clinicians face ...

Testing is where Thailand's AI adoption often pays off quickly, because it reduces waiting. AI can draft unit tests from code, suggest regression ...

Abstract: Brain-inspired computing is a method of enhancing the efficiency of artificial intelligence through clock speed, akin to the human brain. The traditional Deep Neural Network (DNN) had ...

Z80-μLM is a 'conversational AI' that generates short character-by-character sequences, with quantization-aware training (QAT) to run on a Z80 processor with 64kb of ram. The root behind this project ...