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Neuromorphic Spike-Based Large Language Model (NSLLM): The next-generation AI inference architecture for enhanced efficiency and interpretability
Recently, the team led by Guoqi Li and Bo Xu from the Institute of Automation, Chinese Academy of Sciences, published a ...
A new theoretical framework argues that the long-standing split between computational functionalism and biological naturalism misses how real brains actually compute.
Microsoft Corp. today expanded its Phi line of open-source language models with two new algorithms optimized for multimodal processing and hardware efficiency. The first addition is the text-only ...
Brain activity during speech follows a layered timing pattern that matches large language model steps, showing how meaning builds gradually.
Far from being “stochastic parrots,” the biggest large language models seem to learn enough skills to understand the words they’re processing. This evocative phrase comes from a 2021 paper co-authored ...
This is Part 4 of a five-part series. Integrated information theory (IIT) is a theory of consciousness. It was first formulated by the neuroscientist and psychiatrist Giulio Tononi in the early 2000s ...
Professor John Vervaeke has developed a brilliant metatheory of cognition (see here, here, and here). This is quite a feat. As I note in this post, “cognition” is one of the most complicated concepts ...
AI systems that understand and generate text, known as language models, are the hot new thing in the enterprise. A recent survey found that 60% of tech leaders said that their budgets for AI language ...
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