Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...
Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2, 2026, a system that compiles any natural-language task spec into a 23MB ...
Anthropic is exploring the development of its own AI chip and is reportedly in talks with Samsung Electronics about it. The move is part of a broader ...
The next phase of AI infrastructure will not be defined by a single destination called “the cloud” or “the edge.” ...
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 ...
Quick ReadQualcomm's HBC architecture stacks AI accelerator logic directly beneath LPDDR memory, claiming ~6x higher ...
We will never know how many died during the Butlerian Jihad. Was it millions? Billions? Trillions, perhaps? It was a fantastic rage, a great revolt that spread like wildfire, consuming everything in ...
If you ask Yann LeCun, Silicon Valley has a groupthink problem. Since leaving Meta in November, the researcher and AI luminary has taken aim at the orthodox view that large language models (LLMs) will ...
Abstract: This paper deals with the logical and computational foundations of multi-step fuzzy inference using the MamdaniAssilian type of fuzzy rules. We propose some implementation of this inference ...
SAN FRANCISCO--(BUSINESS WIRE)--Logical Intelligence, an artificial intelligence company developing energy-based (EBM) reasoning systems, today announced that Kona 1.0, its pioneering EBM for ...