Easy-to-use adaptive immersive technologies incorporating augmented reality (AR) can motivate learning, social engagement and ...

Learn how NVIDIA's latest AI model processes video 10 times faster than real-time and optimizes multimodal data for ...

Robots gain dexterity: CMU and Bosch's Humanoid Transformer with Touch Dreaming uses predictive tactile modeling to improve humanoid robots’ coordination and delicate object handling. AI in drug ...

Early adopters are using the model for diverse applications, such as auto-clipping highlights from live sports, which ...

This repository is the official Pytorch implementation for the paper Rethinking Multi-modal Object Detection from the Perspective of Mono-Modality Feature Learning. If you have any questions, please ...

Read more about Quantum machine learning shows promise for adaptive learning, but classrooms are not ready on Devdiscourse ...

Abstract: Ensuring maritime safety and optimizing traffic management in increasingly crowded and complex waterways require effective waterway monitoring. However, current methods struggle with ...

indie Semiconductor (Nasdaq: INDI), an automotive solutions innovator, has announced the signing of a definitive agreement to ...

Abstract: Depression is a common mental disorder that affects millions of people worldwide. Psychological assessments remain the most commonly used diagnostic tools. However, this reliance highlights ...

As of May 2026, the AI landscape has undergone a seismic shift: the era of passive chatbots is over, replaced by autonomous agents capable of executing complex, multi-step tasks. This month, OpenAI, ...