Researchers baked 3x inference speedups directly into LLM weights — without speculative decoding

Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...
Opinion
CIOOpinion

AI isn’t failing, people are failing with AI

AI isn’t the problem — rushing it into the wrong tasks without the right data, expertise or guardrails is what makes projects fall apart.
IEEE

VITA: Revolutionizing Traffic Analysis for Autonomous Vehicles with CVT and Encoder-Decoder Integration

Abstract: Recent advancements in sensor technologies, including camera-based systems integrated with computer vision and deep learning, have significantly transformed Advanced Driving Assistance ...
GitHub

Neural interface system that uses machine learning to decode brain signals and generate immersive virtual worlds

DreamWalk is a neural interface platform that bridges neuroscience and artificial intelligence to create immersive virtual experiences. The system uses machine learning algorithms to decode real-time ...
IEEE

Adaptive Cyclic Learning Rate for Long-Term Time-Series Forecasting on Encoder-Decoder and Encoder-Only Deep Learning Model Architectures

Abstract: Long-term time-series forecasting remains a critical challenge, with deep learning models often facing persistent training instability. This study reveals a critical insight: the ...
Reuters

Apple acquires Israeli audio AI startup Q.ai

SAN FRANCISCO, Jan 29 (Reuters) - Apple (AAPL.O), opens new tab on Thursday said it has acquired Q.ai, an Israeli startup working on artificial intelligence technology for audio. Apple did not ...

AlphaGenome: Google’s new AI tool that can decipher and predict DNA changes. How does it work?

A new AI model by Google DeepMind can decipher DNA and predict mutations, opening new doors for disease research. View on euronews ...