The software tool uses self-supervised learning to detect long-term defects in solar assets weeks or years before ...

From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...

Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...

Google has reportedly initiated the TorchTPU project to enhance support for the PyTorch machine learning framework on its ...

The fund seeks to enable researchers to make leaps rather than incremental advances in the natural sciences and engineering.

Frederick University and Electi Consulting Ltd have successfully completed the technical implementation of the DYNAMO ...

Powerful technology that efficiently detects and accurately predicts eucalyptus tree species favored by koalas could help ...

Together with the development of Artificial Intelligence (AI) and Machine Learning (ML), the demand for AI and ML specialists is growing rapidly in Poland, Euro ...

Overview: Data science certifications help build practical skills needed across industries in 2026.Courses now focus more on real projects and workplace-ready l ...

US researchers say a self-supervised machine-learning tool can identify long-term physical defects in solar assets weeks or years before conventional inspections, potentially reducing operations and ...

AI courses in Delhi and online are preparing learners for artificial intelligence careers by offering flexible schedules, practical projects, and industry-relevant skills that match current job market ...

With such increased predictive knowledge of solar systems, these anomaly detectors can significantly reduce costs of O&M, a ...