Decrypt

Tencent's New Hy3 AI Model Is the Most Efficient Chinese LLM No One's Talking About

Tencent just open-sourced Hy3 preview, a model that punches above its weight on coding agents, reasoning, and search—built in ...
Nanowerk

AI model automates etch profile analysis for faster MEMS manufacturing

A physics-constrained AI model called VLSet-AE automates feature extraction from DRIE cross-sections with 96 percent accuracy ...
IEEE

Explainable Deep Learning for Cyber Threat in IoMT: A Synchronization-Enhanced Sparse Autoencoder Approach

Abstract: The interconnected medical devices and networks face escalating cyber threats that demand intelligent detection mechanisms. Traditional deep learning approaches for cyber threat intelligence ...
The New York Times

Black Panther’s Hip-Hop Play, in Shakespeare’s House

The actor Chadwick Boseman was a playwright, too. At Shakespeare’s Globe in London, his “Deep Azure” is drawing attention to a lost talent inspired by the Bard. By Alex Marshall Reporting from ...
Frontiers

Adaptive multi-mode locomotion for bipedal wheel-legged robots via sparse mixture-of-experts deep reinforcement learning

The bipedal wheel-legged robot combines the high energy efficiency of wheeled movement with the terrain adaptability of legged locomotion. However, achieving a smooth transition between these two ...
IEEE

Sparse Autoencoder-Based Deep Learning Approach for Enhancing End-to-End Communication System Performance

Deep Learning (DL) has emerged as a transformative approach in artificial intelligence, demonstrating remarkable capabilities in solving complex problems once considered unattainable. Its ability to ...
GitHub

Variational autoencoder with Kolmogorov-Arnold Network for spatial domain detection.

Experiments were executed on NVIDIA A40 of 46068MiB memory in linux with torch==2.1.0+cu121, torch_geometric==2.3.1, torch-sparse==0.6.18+pt21cu121, and torchvision==0.16.0+cu121. The stkan is an ...
Scientific Research Publishing

Al-Qatf, M., Lasheng, Y., Al-Habib, M. and Al-Sabahi, K. (2018) Deep Learning Approach Combining Sparse Autoencoder with SVM for Network Intrusion Detection. IEEE Access, 6 ...

ABSTRACT: This work contributes to the development of intelligent data-driven approaches to improve intrusion management in smart IoT environments. The proposed model combines a hybrid ...