Meta’s Brain2Qwerty v2 turns thoughts into text, and it doesn’t need brain implants

Meta has unveiled Brain2Qwerty v2, an AI system that converts brain activity into text without surgery, bringing assistive communication a step closer to reality.
IEEE

CDFIT: A Transformer Using Cross-Modal Dual-Stream Feature Interaction for Multispectral Pedestrian Detection

Abstract: Modality imbalance is a significant challenge for multi-modal interaction at various depths in multispectral pedestrian detection under varying illumination environments. To overcome the ...
IEEE

Household Appliance Identification Using Vision Transformers and Multimodal Data Fusion

Abstract: Accurately identifying household appliances from power consumption data collected via smart meters opens up new possibilities for improving energy management in smart homes and providing ...
blockchain

Transformers in Practice Course Boosts LLM Deployment

According to AndrewYNg, a new Deeplearning.ai course with AMD teaches LLM internals, attention, RAG, and GPU inference optimization for faster deployment. In the rapidly evolving field of artificial ...