Google Research has introduced two new research papers, Titans and MIRAS, aimed at addressing a growing limitation in modern AI systems: handling very long stretches of information without slowing ...

Credit: VentureBeat made with GPT-Image-1.5 on fal.ai Until recently, the practice of building AI agents has been a bit like training a long-distance runner with a thirty-second memory. Yes, you could ...

Abstract: In this paper, a novel asymmetric split-spoke-type (AS) variable flux memory (VFM) machine, featuring an asymmetric permanent magnet configuration, is proposed. It enables a favorable ...

A novel stacked memristor architecture performs Euclidean distance calculations directly within memory, enabling energy-efficient self-organizing maps without external arithmetic circuits. Memristors, ...

The spatiotemporal learning rule (STLR) can reproduce synaptic plasticity in the hippocampus. Analysis of the synaptic weights in the network with the STLR is challenging. Consequently, our previous ...

What if your AI could remember not just what you told it five minutes ago, but also the intricate details of a project you started months back, or even adapt its memory to fit the shifting needs of a ...

Abstract: Because of the flexible magnetization state adjustment capability, hybrid-magnetic-circuit variable flux memory machines (HMC-VFMMs) can achieve a wide operating range and overall high ...

Hormone levels fluctuate like the tides, ebbing and flowing according to carefully orchestrated cycles. These hormones not only influence the body, but can cross into the brain and shape the behavior ...

The world of AI has been moving at lightning speed, with transformer models turning our understanding of language processing, image recognition and scientific research on its head. Yet, for all the ...