As the International Olympic Committee (IOC) rolls out AI-assisted judging at the Winter Olympics, how is this new technology ...

Leaders don’t fail from complexity overload. They fail from pretending it’s simple, then engineering systems that move ...

I'll explore data-related challenges, the increasing importance of a robust data strategy and considerations for businesses ...

Adaptive systems were supposed to simplify decision-making. Instead of hard-coded rules, engineers built models that could learn from data, respond to change, and improve over time. That promise still ...

AI-native neobanks have started to position themselves as the answers to static savings accounts by implementing algorithms ...

At a recent roundtable with legal, risk, and audit leaders from India's top enterprises, a consistent concern emerged: AI adoption is accelerating faster than a ...

For decades, modern banking systems have been built on a narrow definition of financial identity. You are considered “bankable” if you have a payslip, a formal employer, a credit history, collateral, ...

Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...

The rideshare company is getting into the business of providing real-world driving data to autonomous vehicle developers.

Nearly a third of UK graduates secured first-class degrees in 2024–25, up sharply from just 13 per cent in 2006–07, reigniting concerns over grade inflation. With elite universities leading the surge, ...

What historically slipped through unnoticed can now trigger a lawsuit, a DOI complaint, or an automatic AI-generated appeal.

New research paper about creating a dataset for training deep research AI agents (SAGE) provides insights into how this kind ...