Machine learning optimisation is transforming the way wireless networks are designed, deployed and managed, enabling adaptive, data-driven solutions to meet ever-increasing throughput, latency and ...

Proton exchange membrane fuel cells (PEMFCs) are promising for zero-emission vehicles, but their sub-zero start-up capability remains a major hurdle. Freezing of product water inside the membrane ...

Researchers have developed a powerful machine learning framework that can accurately predict and optimize biochar production from algae, offering a faster and more sustainable path toward carbon rich ...

Machine learning is rapidly reshaping how we model molecules, and a growing body of work suggests that neural networks are not merely statistical ...

Bioenergy systems, including biomass, biogas, and waste-to-energy technologies, are increasingly recognized as key components of sustainable energy ...

Integrated AI-informed morphologic and spatial transcriptomics features from H&E slides to enable risk stratification of primary melanoma patients. This is an ASCO Meeting Abstract from the 2026 ASCO ...

The business of keeping enterprise software running is quietly being handed over to algorithms. The market for AIOps the use ...

Unlimited installs and built-in optimization tools support simplified, accelerated embedded and edge AI deploymentCHANDLER, Ariz., July 08, 2026 (GLOBE NEWSWIRE) -- Microchip Technology (Nasdaq: MCHP) ...

Implantable devices in the brain have been used for about 30 years to assist people with disabilities in completing motor ...

Most ML projects fail to reach production. Five recurring pitfalls drive failures in ML projects: choosing the wrong problem, data quality/labeling issues, the model-to-product gap, offline-online ...

Association of the 70-gene assay and homologous recombination deficiency in patients with high risk 2 breast cancers. Model performance by outcome and number of variables. a Concordance index; scores ...