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 ...
IEEE

Toward Transparent Reinforcement Learning: An Explainable Deep Q-Learning Framework for Sequential Decision-Making

Reinforcement learning (RL) has demonstrated remarkable promise in sequential decision-making tasks; however, its explainability issues continue to hinder high-stakes domains that demand regulatory ...

Sophelio Launches Data Fusion Labeler (dFL) to Accelerate Sensor Data Preparation for Machine Learning

Sophelio Introduces the Data Fusion Labeler (dFL) for Multimodal Time-Series Data - The only labeling and harmonization ...
Yahoo! Sports

Patriots’ Milton Williams sacks Sam Darnold deep in Seahawks territory during Super Bowl LX

The sack occurred with approximately 7:26 remaining in the third quarter. At that point in the game, the Seahawks held a 12-0 lead. They are looking to orchestrate a drive that could potentially put ...
Frontiers

Accelerating the engineering design of breeder blankets with parametric optimisation and sequential learning

The competing requirements of fusion breeder blankets and the high dimensionality of their design space necessitate a systematic treatment to map the variations in performance against given objective ...
IEEE

Deep Sequential Learning for Pose Forecasting

Abstract: Falls are a major cause of injury, particularly among older adults. Most existing methods detect falls only after they occur, limiting their preventive value. This paper proposes a proactive ...