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 ...
Geeky Gadgets

How AI Agents Are Transforming Work and Problem-Solving with Adam Silverman

What if the future of work, problem-solving, and innovation didn’t rely on human effort alone? Picture a world where complex decisions are made in seconds, customer experiences are personalized ...
Computerworld

How agentic AI makes decisions and solves problems

Agentic AI is the latest phase in the evolution of generative AI models; they can autonomously complete tasks, and even mimic the behavior of humans. Generative artificial intelligence (genAI) has ...
Geeky Gadgets

Creating AutoGen multi AI agent apps to solve problems more efficiently

The quest for efficiency and optimization is a constant pursuit, however with the explosion of artificial intelligence over the last 18 months or so new methods of productivity and now more of ...
No Jitter

The “Unified Agent Workspace”: Solving the Swivel Chair Problem

Skilled agents often juggle billing systems, shipping partners, and CRMs at lightning speed, revealing common patterns in ...

How Google’s 'internal RL' could unlock long-horizon AI agents

Google researchers introduce ‘Internal RL,’ a technique that steers an models' hidden activations to solve long-horizon tasks ...
Business Insider

Quantexa Makes Its Decision Intelligence Platform ‘Agent Ready’ to Solve the Hardest Problems in AI: Data Fragmentation & Context

LONDON, Nov. 04, 2025 (GLOBE NEWSWIRE) -- In a major leap forward for enterprise AI, Quantexa, a global pioneer in Decision Intelligence, has unveiled Quantexa AI, the next evolution of its flagship ...