Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

A study on visual language models explores how shared semantic frameworks improve image–text understanding across ...

This study presents KEPT, an AI system that helps self-driving cars predict their own short-term path more safely by ...

AI models need to be updated frequently to stay effective in business environments. Proprietary AI solutions can address ...

This study presents KEPT, an AI system that helps self-driving cars predict their own short-term path more safely by combining video understanding ...

But a 2025 Harvard Business Review survey found that only six percent fully trust AI to run core business processes. Damini ...

Teaching a robot arm to pick up a new object used to require thousands of practice runs. Google DeepMind says it has cut that ...

Elon Musk's claim about autonomous surgery in three years is unrealistic; true advancements face significant technical and ...

China's Ministry of Education's action plan aims to integrate AI in education, enhancing talent and innovation by 2030.

Effective error recovery mechanisms are essential for robotic construction, allowing for real-time problem-solving in dynamic ...

Yes. This case involved a homeschooled student, demonstrating that structured, evidence-based reading intervention can be effectively implemented outside of traditional school settings with consistent ...

Culture alignment requires honest analysis of what’s really going on. Focusing on the structures in the middle, not just messaging from the top, can help.