French researchers have developed a machine-learning model to clean low-power PV projects and standalone solar arrays in rural areas isolated from the grid. The technology was conceived for low-power ...

Use modern machine learning tools and python libraries. Explain how to deal with linearly-inseparable data. Compare logistic regression’s strengths and weaknesses. Explain what decision tree is & how ...

Based on NXP’s i.MX 93 processor, the VAR-SOM-MX93 system-on-module (SoM) from Variscite offers machine learning acceleration for edge computing. The i.MX 93 applications processor integrates a ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

CHICAGO--(BUSINESS WIRE)--As part of its initiative to bring greater efficiency and transparency to alternatives asset servicing, Northern Trust (Nasdaq: NTRS) has launched a feature within its Front ...

Abstract: Despite the advancements of autonomous systems from decades of engineering, there is always the need to make them even more efficient and reliable. Machine learning holds great potential to ...

Venture-backed chip startup Blaize Inc. has introduced three new hardware modules for running artificial intelligence models at so-called edge locations such as factories. The modules, announced on ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could dramatically slash the cost and energy required to develop new lithium-ion ...

A leading AI researcher, lecturer and cofounder of several deep learning-based companies. He's the CTO of AI at Nano Dimension. We are used to 20th-century machines that work well for us under normal ...