Abstract: With the development of industrial intelligence, deep learning-based soft sensors are widely used in complex industrial systems to estimate key quality variables in real-time, with long ...

Abstract: This paper presents BAM-Net, a hardware-efficient binarization algorithm designed for associative memory (AM) implementation. BAM-Net aims to reduce memory overhead, power consumption, and ...

The results include a comparison between two different basis functions for temporal selectivity and how these generate different predictions for the dynamics of neural populations. The conclusions are ...

Google's new Titans architecture and MIRAS framework enable AI to handle massive amounts of data and work faster.

When life ruptures your sense of self, creativity is how the brain rewrites the story. Here's the neuroscience behind why it ...

This study uses a Bayesian framework to characterize latent brain state dynamics associated with memory encoding and performance in children, as measured with functional magnetic resonance imaging.

Light does not “think” in any human sense. Still, under the right conditions, it can behave in a way that looks uncannily ...

An international study has revealed a surprising connection between quantum physics and the theoretical models underlying artificial intelligence. The study results from a collaboration between the ...

Arista exceeded its AI networking and campus expansion goals in 2025 and delivered revenue of $9 billion, which is up 28.6% compared to 2024. Arista Networks dialed up a strong fourth quarter, fueled ...

AI is driving new revenue for Cisco, while campus networking and other components added to a successful quarter for the vendor. CEO Chuck Robbins told analysts on a conference call that overall ...

GenAI in RRAM: Resistive RAM has yet to prove its value to the broader memory industry. Still, researchers are once again trying to put the long-promised technology to work – this time by targeting ...