Abstract: In the dark silicon era, a fundamental problem is given a real-time computation demand, how to determine if an on-chip multiprocessor system is able to accept this demand and to maintain its ...

Abstract: Elastic optical networks employing multi-core fibers (MCF-EON) have the potential to expand significantly the transmission capacity of optical transport. However, wide deployment of such ...

A mathematical problem that had remained unsolved for more than 10 years in the physics of complex systems has finally been ...

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...

Chinese AI models are rapidly closing the gap with U.S. frontier systems. This analysis examines what their growing ...

Unless you're coding or stress-testing benchmarks, the "latest and greatest" usually won't change how you use AI.

LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.

As a result, researchers are exploring ways to embed better logic into AI. The goal isn’t so much to make LLMs smarter; it’s ...

Qwen 3.6 27B actually gave me better answers in basically every test.

You might not need a different model, but better settings ...

Spread the love“`html When it comes to understanding how we learn and develop cognitively, few theories have had as profound ...

To participate, submit your response here by July 10 at 9 a.m. Eastern. This week’s winners will be announced by July 22. By The Learning Network Heeva Alavi, an Iranian-American, writes about her ...