IEEE Spectrum on MSN

Adversarial fashion confronts surveillance norms

Adversarial attire can’t stop AI cameras, but can disrupt them ...
The Tech Edvocate

This Crucial Skill Is Your Only Defense Against AI Job Destruction

Spread the love“`html You’ve heard the chatter, right? Bill Gates, a man who’s had a front-row seat to every major tech ...
Science

Few-shot neuromorphic vision in a nonlinear photonic network laser

With the growing prevalence of artificial intelligence (AI), demand increases for hardware that mimics the brain’s ability to ...
techtimes

ARC-AGI-3 Gets Open-Source Agent That Writes Python World Models Instead of Neural Weights

A German academic research group today posted an open-source AI agent to arXiv that approaches ARC-AGI-3 — the interactive benchmark where frontier models including Claude Opus 5 still cannot reliably ...
techtimes

Brain-Like Learning Rule Cracks Convolutional Networks: Sakana AI Measures the Biology Tax

Every neural network powering your phone's camera, the language model on your screen, and the recommendation engine choosing your next video was trained with the same four-decade-old algorithm: ...
Scientific American magazine

Human neurons on a chip learned to play Doom

The Australian biotech company Cortical Labs recently posted a video in which 200,000 living human neurons grown on a silicon chip played the 1993 first-person shooter Doom. The neuron-controlled main ...
letsdatascience

Build a Neural Network from Scratch in Python

Modern deep learning frameworks hide optimized C++, CPU, and accelerator kernels behind high-level tensor and training APIs. That abstraction is wonderful for shipping products, but terrible for ...
science

Optical logic convolutional neural network

Optical computing presents a promising avenue to meet the escalating computational demands. However, optical analog computing is susceptible to environmental perturbations, relies heavily on ...
IEEE

A Convolutional Neural Network to Spiking Neural Network Conversion Framework for Seismic Denoising

Abstract: This study investigates the application of Spiking Neural Network (SNN) in seismic signal denoising by developing a Convolutional Neural Network (CNN) to SNN conversion framework. We focus ...