The Next Web

Meta’s AI reads typed sentences from the brain, no surgery required

Meta's Brain2Qwerty v2 decodes typed sentences from brain scans at 61% accuracy with no implant. The catch: it's room-sized, not real-time, and lab-bound.
IEEE

SEARCHD - Advanced Retrieval with Text Generation using Large Language Models and Cross Encoding Re-ranking

Abstract: This study demonstrates how documents created by LLMs can be useful for retrieving information from other documents. We introduce our simple and effective dense retrieval framework, Search ...
The New York Times

4 Easy Ways to Make Sure No One Can Read Your Text Messages

We independently review everything we recommend. When you buy through our links, we may earn a commission. Learn more› By Max Eddy Max Eddy is a writer who has covered privacy and security — including ...
IEEE

Robust Binary Encoding for Ternary Neural Networks Toward Deployment on Emerging Memory

Abstract: Deep neural networks (DNNs) have enabled state-of-the-art performance across various applications. However, their deployment is often hindered by high energy demands. One solution is to ...