Occupational Health & Safety

Vector Solutions Puts Responsible AI and Gamified Training at the Forefront of Workplace Safety

The company is combining human-reviewed AI tools with interactive, gamified learning to improve safety training, incident ...
IEEE

Instrumentation, Measurement, and Signal Processing in Electroencephalography-Based Brain-Computer Interfaces: Situations and Prospects

Abstract: Proper signal measurement and processing are crucial in electroencephalography (EEG)-based brain-computer interfaces (BCIs), as they form the basis of brain insight and precise BCI control.
IEEE

Channel- and Label-Flip Data Augmentation for Motor Imagery-Based Brain–Computer Interfaces

Abstract: Achieving high classification accuracy in motor-imagery-based brain–computer interfaces (BCIs) requires substantial amounts of training data. A challenge arises because of the impracticality ...
Communications of the ACM

From Block-Based Programming to Vibe Coding

The path from block-based programming to vibe coding represents a shift from mastering the mechanics of implementation to ...
the-decoder

Google's NotebookLM now runs its own cloud computer with code execution and agent-based research

Google has overhauled NotebookLM. The AI research tool now runs on Gemini 3.5 Flash and Google's coding tool Antigravity. Each notebook gets its own cloud computer that can write and run code, with ...
GitHub

MARTI: A Framework for LLM-based Multi-Agent Reinforced Training and Inference

If you like our project, please give us a star ⭐ on GitHub for the latest update. MARTI is an open-source framework for training LLM-based Multi-Agent Systems (MAS ...