Matcha model makes drug candidate screening more than 30 times faster

Ligand Pro, founded by Skoltech professors and a Skoltech Ph.D. student, has presented Matcha, an AI-powered molecular docking model that performs virtual drug screening 30 times faster than the large ...
SecurityWeek

Google DeepMind Researchers Map Web Attacks Against AI Agents

Threat actors can use malicious web content to set up AI Agent Traps and manipulate, deceive, and exploit visiting autonomous ...
IEEE

Feature-Foundation Model Evolution for Low-Latency Semantic Communication

Abstract: In response to the escalating communication demand, transceivers are transforming from a data-oriented to an artificial intelligence (AI)-driven semantic-aware paradigm. However, current ...
CNX Software

ESP32-S3 gets post-quantum encryption with Aethyr Edge Node open-source firmware

Aethyr Research has released post-quantum encrypted IoT edge node firmware for ESP32-S3 targets that boots in 2.1 seconds and ...
IEEE

Dual-Source Retrieval for Educational Chatbots: A Performance Evaluation of Semantic Embedding Models

Abstract: Generative Artificial Intelligence (GenAI) offers an a significant opportunity for education, but there are very few studies that compare the performance trade-offs of semantic embedding ...

Karpathy shares 'LLM Knowledge Base' architecture that bypasses RAG with an evolving markdown library maintained by AI

Karpathy proposes something simpler and more loosely, messily elegant than the typical enterprise solution of a vector ...