Parallel microdevice with AI-powered single-cell analysis enables rapid, high-throughput delivery

Many applications—from drug discovery and diagnostics to cell engineering and gene modulation—require delivering biomolecules ...

AI-driven system blends literature, experiments and robotics to discover new materials

Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

Alibaba’s Tongyi DeepResearch : Open-Source AI for Smarter Problem-Solving

Learn how Tongyi DeepResearch combines cutting-edge reasoning and open-source flexibility to transform advanced research ...
IEEE

An Intelligent E2e Network Slicing Framework Using Transformer-Enhanced Drl

Abstract: The 5G/6G era has introduced a wide variety of services, including enhanced Mobile Broadband (eMBB), UltraReliable Low-Latency Communications (URLLC), and massive Machine-Type Communications ...
IEEE

Employee Productivity Monitoring and Anomaly Detection using BERT and Time-Series Transformer with Gaussian Mixture Model

Abstract: The revolution toward remote and hybrid work atmospheres has shaped challenges in precisely evaluating employee efficiency while preserving ethical and privacy protective monitoring ...