Google’s TurboQuant Compression May Support Faster Inference, Same Accuracy on Less Capable Hardware
Google Research unveiled TurboQuant, a novel quantization algorithm that compresses large language models’ Key-Value caches ...
Service providers must optimize three compression variables simultaneously: video quality, bitrate efficiency/processing power and latency ...
Morning Overview on MSN
New diode design could shrink image sensors with built-in memory and compute
Every time a smartphone snaps a photo, millions of tiny light detectors capture the scene and then ferry all that raw data across the chip to a separate processor for storage and number-crunching.
Does the hippocampus only track location? A new study shows how the brain's memory center shifts activity between anterior ...
Studies show THC can influence multiple stages of memory formation, shaping not just what we remember—but how accurately we ...
Whenever you ride a bike or knit a sweater, you’re using your procedural memory. Two cognitive scientists explain what it is ...
Abstract: This paper introduces a computational model of episodic memory that learns episodes in response to continuous sensory input. The proposed model utilizes a Hebbian based associative learning ...
Abstract: How long do the neural and cognitive effects of a brief odor experience last? This study investigated whether short exposures to pleasant and unpleasant odors can induce sustained changes in ...
Over the past decades, computer scientists have introduced numerous artificial intelligence (AI) systems designed to emulate the organization and functioning of networks of neurons in the brain.
Most agent frameworks treat memory as an afterthought — a shared vector store where isolation depends on configuration staying correct and everything, facts and procedures alike, gets embedded into ...
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