A Visual Model Of Self-Attention: Transformers Work Differently Now

Early-2026 explainer reframes transformer attention: tokenized text becomes Q/K/V self-attention maps, not linear prediction.

Elon Musk’s A.I. Is Generating Sexualized Images of Real People, Fueling Outrage

Late Thursday, Mr. Musk’s chatbot, Grok, limited requests for A.I.-generated images on X to paid subscribers of the social ...

Deep learning creates virtual multiplexed immunostaining to improve cancer diagnosis

Researchers at the University of California, Los Angeles (UCLA), in collaboration with pathologists from Hadassah Hebrew ...
IEEE

Anomaly Detection in IoT Networks: A Deep Learning Approach Using Autoencoders

Abstract: The current fast proliferation of the Internet of Things (IoT) networks has made anomaly detection and security more difficult. Traditional methods are not able to detect hostile activities ...
IEEE

Integrating Contractive Loss in Proximal Policy Optimization for Robust Decision-Making

Abstract: Deep Reinforcement Learning (DRL) has found successful applications across various domains, including robotics, healthcare, finance, and autonomous systems. However, in real-world ...
NPR

Scientists say they have discovered 20 new species deep in the Pacific Ocean

Scientists believe they have discovered at least 20 new species in a deep part of the Pacific Ocean. The discoveries were found after researchers from the California Academy of Sciences retrieved 13 ...
GitHub

chaudatascience/cha_mae_vit

A Pytorch implementation for Channel-Aware Masked Autoencoders ViT (ChA-MAEViT) in our paper. This code was tested using Pytorch 2.6.0+cu124 and Python 3.12. If you find our work useful, please ...
GitHub

AVF-MAE++ : Scaling Affective Video Facial Masked Autoencoders via Efficient Audio-Visual Self-Supervised Learning

Abstract: Affective Video Facial Analysis (AVFA) is important for advancing emotion-aware AI, yet the persistent data scarcity in AVFA presents challenges. Recently, the self-supervised learning (SSL) ...