Materials databases lie at the heart of future data-driven discovery in energy-related fields, say researchers from Tohoku ...

Abstract: High-performance remote sensing object detection typically requires vast datasets with annotations, but the collection and labeling of large-scale data is a costly and labor-intensive ...

Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive storage to active, structured, and machine-readable systems. As training and ...

You’ve heard the pitch a thousand times: AI is the silver bullet that will solve everything from customer churn to supply-chain bottlenecks. But the truth is messier. The pace of change in AI and ...

Abstract: Fuzzy clusters, where ambiguous samples belong to multiple clusters, are common in real-world applications. Analyzing such ambiguous samples in large-scale datasets is crucial for practical ...

Burns & McDonnell, Jacobs, WSP, HPE Sustainable Data Center Modernization, Woolpert, Kimley-Horn, Olsson, and EXP head Building Design+Construction's ranking of the ...

Dave has been in the utility industry for over 10 years helping support temporary, or long-term power generation requirements to industry, either behind or in front of the meter, using large ...

AI systems are only as fair and safe as the data they’re built on. While conversations about AI ethics often focus on model architecture, algorithmic transparency or deployment oversight, fairness and ...

This story is part of Fast Company’s 2025 Innovation by Design Awards. Explore the full list of companies creating products, reimagining spaces, and working to design a better world. Read more about ...