As financial crime grows in scale, speed, and sophistication, banks are increasingly turning to artificial intelligence, ...

Structural economic models, while parsimonious and interpretable, often exhibit poor data fit and limited forecasting performance. Machine learning models, by contrast, offer substantial flexibility ...

Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...

The Verification-Value Paradox states that increases in efficiency from AI use “will be met by a correspondingly greater ...

We need to reimagine global governance. In public health, we now accept that human and planetary wellbeing are inseparable. The climate crisis, biodiversity loss, pollution, pandemics, and inequity ...

Renowned AI scientist Yann LeCun confirmed on Thursday that he had launched a new startup — the worst-kept secret in the tech world — though he said he will not be running the new company as its CEO.

Post Doc Fellow: AI and Data Systems in Nuclear/Particle Physics, Stellenbosch University In most industries, maintenance is a waiting game. Things are fixed when they break. But in the 21st century, ...

We are excited to inform you that the current Machine Learning: Theory and Hands-On Practice with Python Specialization (taught by Professor Geena Kim) is being retired and will be replaced with a new ...

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...

Valve’s announcement of the Steam Machine has sparked much debate online about the company’s return to the PC in the living room space, but one key piece of information remains unknown: price. The ...

Heavy machinery is entering a new phase where hydraulics, electronics and embedded software are engineered as one integrated system. Using model-based systems engineering (MBSE) as a framework to ...

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...