New MiniMax M2.7 proprietary AI model is 'self-evolving' and can perform 30-50% of reinforcement learning research workflow

For direct API integration and via third-party provider OpenRouter, MiniMax M2.7 maintains a cost-leading price point of 0.30 ...
Scientific Research Publishing

A Spatio-Temporal Prediction Model for Wall Turbulence Based on Hybrid Neural Networks ()

The spatio-temporal evolution of wall-bounded turbulence is characterized by high nonlinearity, multi-scale dynamics, and ...
NatureOpinion

AI is programmed to hijack human empathy — we must resist that

As artificial intelligence begins to mimic consciousness with uncanny skill, we need design norms and laws that prevent it ...
Visual Studio Magazine

Going Local (& a Bit Loco) with Open-Source AI in VS Code

This hands-on PoC shows how I got an open-source model running locally in Visual Studio Code, where the setup worked, where it broke down, and what to watch out for if you want to apply a local model ...
GitHub

CNN-AutoEncoder in pytorch

This is a pytorch implementation of the Muti-task Learning using CNN + AutoEncoder. Cifar10 is available for the datas et by default. You can also use your own dataset. epoch,train loss,train accuracy ...
IEEE

ISFL-AE: Insider-Specific Feature Learning Autoencoder for Lightweight Insider Threat Detection

Abstract: Malicious insiders who possess system access and security expertise are notoriously difficult to detect and can inflict severe financial damage. While recent advances in deep learning have ...
IEEE

Novel Temporal Autoencoder Model Based on STD for Industrial Soft Sensing

Abstract: Data-driven soft sensing is widely adopted for real-time quality variable detection due to rapid advancements in machine learning. Industrial process data typically exhibit high ...