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

Gradient-Enhanced Kriging-Based Parallel Efficient Global Optimization Algorithm and Its Application in Aerodynamic Shape Optimization

The parallel efficient global optimization (EGO) algorithm was developed to leverage the rapid advancements in high-performance computing. However, conventional parallel EGO algorithm based on ...

New agent framework matches human-engineered AI systems — and adds zero inference cost to deploy

A new group-evolving agent framework from UC Santa Barbara matches human-engineered AI systems on SWE-bench — and adds zero ...
TMCnet

uRecruits' Agentic AI Helps Recruiters Cut Admin Tasks and Reduce Candidate Ghosting

Traditional automation needs human prompts. uRecruits' agentic AI autonomously orchestrates recruiting workflows. Most of the minor tasks are handled automatically 24/7. The approach reduces admin ...
IEEE

Parallel Retrieve Index MPT for Lifecycle Traceability of Large-Scale Manufacturing Products Based on Blockchain

Abstract: The efficiency of data retrieval is crucial for the lifecycle traceability of large-scale manufacturing products. This article proposes a novel on-chain and off-chain parallel retrieval ...