Redcore Investments COO, Ihor Denysov, elaborates on just why those that master AI and big data will spearhead the industry ...

We present an integrated approach to derive multimodal MRI markers of cognition that can be transdiagnostically linked to psychopathology. This demonstrates that the predictive ability of neural ...

Arm's answer to the NPU hype was to skip it entirely, instead focusing on improving AI targeted at the CPU and letting ...

AI apps and models evolve rapidly, creating new optimization needs. Nvidia now unveils the Rubin CPX accelerator to target ...

Geoffrey Hinton is sounding the alarm about the risks of artificial intelligence. He believes AI could become a superintelligent entity that might threaten humanity. Known as the "Godfather of AI," ...

Generalize Hopfield-like neural networks using a deformed maximum entropy principle. Exhibit explosive transitions, multi-stability, and memory capacity enhancements. Are analytically tractable via ...

This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...

Abstract: Thanks to the biomimetic properties of synaptic plasticity, memristors are often utilized to mimic biological neuronal synapses. This article presents a new memristor synapse coupling (MSC) ...

Abstract: Real-time visualization of neural network training in web applications presents distinct challenges. Existing desktop solutions burden the user's hardware, requiring powerful machines and ...

Introduction: Segmentation of echocardiograms plays a crucial role in clinical diagnosis. Beyond accuracy, a major challenge of video echocardiogram analysis is the temporal consistency of consecutive ...