Chief Executive Alex Karp’s recent broadside against the frontier model vendors put a knife to the throat of the central ...
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 ...
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 ...
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 ...
Despite the impressive achievements of current generative AI systems, the dream of Artificial General Intelligence remains far away, notwithstanding the hype offered by various tech CEOs.[1] The ...
As frontier models move into production, they're running up against major barriers like power caps, inference latency, and rising token-level costs, exposing the limits of traditional scale-first ...
Obviously what we need is to do is retrain humans into a 1984-like New Speak so that we start expressing ourselves in ways that are more conformant with AI and LLM training so we can function better ...
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