MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

Security teams often spend days manually turning long incident reports and threat writeups into actionable detections by ...

Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...

The detection of source code plagiarism is a rapidly evolving field that addresses the challenge of identifying unacknowledged copying in computer programming. Researchers employ a combination of ...

The malware can switch to a signalling mode that allows attackers to manually scroll and tap through a live stream of the virtual screen.