Abstract: This paper introduces a physics-guided deep learning model for wide-band oscillations (WBO) parameters estimation. The model first utilizes the damped oscillation model to generate synthetic ...

Abstract: Learning from crowds aims to train a robust and generalizable model with a noisy crowdsourced dataset from multiple annotators. Due to its simplicity and practicality, the target model and ...

6 months of daily practice distilled into a guide that teaches you the WHY, not just the what. From core concepts to production security, you learn to design your own agentic workflows instead of copy ...

Has AI coding reached a tipping point? That seems to be the case for Spotify at least, which shared this week during its fourth-quarter earnings call that the best developers at the company “have not ...

Could a machine outthink the best human mind in the world? Thirty years ago that was still an open question, but a historic matchup between a chess grandmaster and an IBM supercomputer answered it. On ...

Multi-agent orchestration makes workflow more inspectable, with clear handoffs and a QA backstop. Breaking the work into discrete steps makes the output easier to audit and fix. A timestamped handoff ...