MemRL outperforms RAG on complex agent benchmarks without fine-tuning

MemRL separates stable reasoning from dynamic memory, giving AI agents continual learning abilities without model fine-tuning ...
Business Wire

K Health Announces New Research That Shows Its Knowledge Agent Responses to Medical Questions Are More Accurate and Comprehensive Than Other Leading LLMs

NEW YORK--(BUSINESS WIRE)--K Health, the leading AI Primary Care platform, is pleased to announce at the Association for Computational Linguistics (ACL) Conference the results of an AI Medical QA ...

Agentic AI: Bridging Contextual Gap Between LLMs And Enterprise Information

Given the breakneck speeds at which AI evolution is taking place, LLMs alone cannot meet enterprise needs. That is where ...
Forbes

SLM Or LLM Agents? The Trade-Offs, The Risks And The Rewards

The AI industry is obsessed with scale—bigger models, more parameters, higher costs—the assumption being that more always equals better. Today, small language models (SLM) are turning that assumption ...
Semiconductor Engineering

LLM-Based Chiplet Design Generation Framework (Univ. of Minnesota)

A new technical paper titled “MAHL: Multi-Agent LLM-Guided Hierarchical Chiplet Design with Adaptive Debugging” was published by researchers at the University of Minnesota – Twin Cities. “As program ...
VentureBeat

Beyond single-model AI: How architectural design drives reliable multi-agent orchestration

We're seeing AI evolve fast. It's no longer just about building a single, super-smart model. The real power, and the exciting frontier, lies in getting multiple specialized AI agents to work together.