Overview Data science roles are expanding as AI tools handle more routine work.Foundation models are replacing task-by-task ...

Deere & Co's AI innovations have drawn praise from experts who say their restructuring of work holds lessons for health care ...

Logistics is an industry where AI has huge potential to drive greener practices. That’s because of the sector’s complexity, ...

Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but ...

Machine learning models reveal that histone marks are predictive of gene expression across human cell types and highlight important nuances between natural control and the effects of CRISPR-Cas9-based ...

HGS (listed on BSE & NSE), a leading provider of digital experience, business process management (BPM), and digital media services, today announced the launch of AMLens, a next-generation, AI-powered ...

Heading into 2026, leaders are still bullish on AI despite worries about a bubble and struggles to demonstrate value with AI ...

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

The topic of AI and its implications for orthopedic surgeons became of high personal importance when Bill Gates predicted that AI would replace physicians and others within the next decade. As an ...

WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning BEIJING, Jan. 05, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the ...

Abstract: Monitoring particulate matter (PM) is of critical importance due to its significant impact on human health. Ground stations provide highly accurate measurements of various pollutants on a ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...