What happens when companies on digital labour platforms no longer decide for themselves how much to pay their workers, but leave this to learning algorithms? Researchers at TU Darmstadt, Bielefeld ...

“Engineering is best learned by doing. By combining strong engineering fundamentals with project-based learning, industry ...

AI challenges all four questions in ways that require us to rethink our threat modelling practices. One of the most ...

Ben Lamm and George Church raised $20mn at $3.8bn for Astromech, an AI that reads 3.8 billion years of evolution to predict ...

Agentic AI is reshaping supply chains by moving enterprises from forecasting and monitoring toward faster, more autonomous ...

Drawing on his experience of flood risk engineering, Hossein Gheovasi makes the case for early, accurate hydrology in solar ...

Business planning has always involved some level of forecasting. Companies look at previous sales, market trends, customer behaviour, costs, and other business information to estimate what might ...

Artificial intelligence in energy management refers to computational algorithms — especially machine learning and data analytics — that learn from data to optimise energy production, distribution, and ...

AI chatbots can describe reality in words, but don’t truly understand cause and effect in the real world. Now, a fresh kind of machine intelligence that does just that is emerging ...

Microbial communities are highly sensitive to environmental changes, yet their enormous diversity makes it difficult to identify ecological patterns. A research team from the Leibniz Institute for ...

As Europe's paper and pulp industry reckons with high costs, lower demand, and overseas competitiveness, McKinsey delves ...

AI is moving deeper into banking controls. The bigger change may be a shift from periodic compliance and audit toward continuous, machine-assisted assurance.