Creating a purpose-built repository of standardised reaction data is a tall order, but the reward would be huge ...

Since generative AI began to garner public interest, the computer vision research field has deepened its interest in ...

India turns to AI for weather forecasting, aiming to improve accuracy and timeliness in predicting extreme weather events.

While numerous learning-based approaches have addressed this challenge, they often lack interpretability and fail to uphold the physical guarantees essential for reliable modeling. Additionally, ...

But while data can be useful, it’s not neutral. There are biases and blind spots in the systems that produce the data. Worse, data often lacks the depth, context and responsiveness needed to drive ...

Data-driven policy is often held up as the gold standard. But by reducing people to measurable statistics, it can also what’s needed to drive real-world change.