To mark International Women’s Day (8 March), we spoke to Meghan Plumridge, User Support Specialist for Machine Learning. When Meghan joined ECMWF ten years ago, she wasn’t a computer scientist. She ...

The Pentagon spent more money in September—the end of the 2025 fiscal year—than it had in any other year since 2008. But a good chunk of the budget wasn’t used for anything that could be considered a ...

As AI labs promote “reasoning models,” experts debate whether modern AI truly understands problems or simply recombines ...

Designed to function independently once activated, these drones perform three key battlefield tasks on their own; locating targets, identifying them, and launching an attack ...

As the tides of global trade shift toward a digital-first future, Chinese foreign trade enterprises are facing a pivotal transformation. To combat rising customer acquisition costs and the persistent ...

On April 18, 2016, the US Department of Defense did something it had never done in its history. It invited hackers in. 13 minutes after The post 7 Most Influential Women in Cybersecurity You Should ...

The debate around AI and jobs often swings between hype and alarm, but a new visual based on research by Anthropic brings a rare dose of clarity to the conversation. By comparing AI's theoretical ...

These names didn't just disappear — they took something with them.

The Senior Special Assistant to President Bola Tinubu on Inter-Governmental Affairs, Dr Wasiu Olanrewaju-Smart, has said that startups driven by STEM possess the capacity to solve challenges facing ...

An AI agent reads its own source code, forms a hypothesis for improvement (such as changing a learning rate or an architecture depth), modifies the code, runs the experiment, and evaluates the results ...

Are Organizations Fully Equipped to Manage Non-Human Identities? The increasing integration of technology across various sectors brings to light the significant role of Non-Human Identities (NHIs) in ...

To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...