When Learning Meets EdTech And Finally Becomes The Work

Insights into what happens to corporate learning when AI and performance pressure collide with an L&D function still built ...
IEEE

Learning With Partial-Label and Unlabeled Data: Contrastive With Negative Example Separation

Abstract: Semi-Supervised Partial Label Learning (SSPLL) is an important branch of weakly supervised learning, where the data consists of both partial label examples and unlabeled ones. In SSPLL, the ...

Stony Brook University Develops Machine Learning Models that Predict PV System Underperformance on Heterogeneous Portfolios

With such increased predictive knowledge of solar systems, these anomaly detectors can significantly reduce costs of O&M, a major component of project economics in solar development. There is great ...

Amneal: Growing Drug Portfolio, Positive Cash Flow, Outweighing Leverage Risks

Despite negative equity, Amneal raised its operating cash flow guidance for FY25. Read why I agree with Wall St., which is ...
IEEE

Dynamic Portfolio Management Using Multi-Model Reinforcement Learning

Abstract: The traditional portfolio management approaches tend to rely on static models that struggle to adapt to changing market conditions. This paper deploys a multi-model deep reinforcement ...