A mathematics professor at The University of Manchester has developed a novel machine-learning method to detect sudden changes in fluid behaviour, improving speed and cost of identifying these ...

This study develops a high-accuracy machine-learning framework to predict and optimize metal-doped MnO2 cathodes for aqueous ...

David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...

The SIGMOD community honors the research of BIFOLD researchers Arnab Phani and Matthias Böhm. Their work on eliminating the inefficient reuse of intermediate computations across multi-backend machine ...

Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in ...

Advanced Intralogistics, a performance-focused warehouse automation integrator, today announced a strategic partnership and mutual reseller agreement with Top Hat Engineering(TM), a controls and ...

Read more about Deep learning and AI unlock new era of solar energy forecasting and performance on Devdiscourse ...

Many technical recruiters and IT hiring managers advise that certifications carry more value for entry-level and low-level IT pros than they do for workers with more experience. The obvious exceptions ...

Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...

Hero MotoCorp's CTO, Vikram Kasbekar explains why changing rider behaviour, not just adding technology, is key to road safety ...

Digital infrastructure is expected to run at near-zero latency, adapt instantly to shifting workloads, and remain secure ...

Amazon Web Services is making it possible to access data stored in its S3 cloud storage service as a traditional file system, ...