The last time the global economy divided this sharply, it took generations to notice. The Industrial Revolution didn’t announce itself with a ...

Leaders from SAP, LightSource and SpendHQ explain why data readiness and maturity trump AI hype – and where pilots fail ...

Research reveals that knowledge distillation significantly compensates for sensor drift in electronic noses, improving ...

When Daniel Graham, an associate professor in the University of Virginia School of Data Science, talks about the future of ...

Texas A&M ecoinformatics enables students to explore science in nature with real-world data, field research and ...

Over 150 years ago, a fossilized organism known as Prototaxites emerged as an enigma regarding what early land life may have ...

Aston University and BioCare Ltd are working together to create a unique AI-powered digital health tool that can deliver personalised nutritional and ...

New study identifies systematic patterns in armed conflicts across Africa – and the limits of forecasting conflict intensity, ...

For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...

These developments suggest AI’s impact on materials R&D is as much organisational as it is technical, shifting labs toward ...

The neural network approach uses multiple or “deep” layers that learn to identify increasingly complex features in data. The ...

Koch, who studied vision, thought that by measuring people's brain responses as they looked at special optical illusions, ...