Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Explore how machine learning in insurance enhances risk assessment, fraud detection, and personalization. ✓ Subscribe for ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and ...

Google and Microsoft's new WebMCP standard lets websites expose callable tools to AI agents through the browser — replacing ...

Regulators are modernizing their expectations, and it's become clear that validation can no longer function as a point-in-time event.

The costs of keeping a machine’s pivot pins functioning – either through hard-to-calculate downtime or operational inefficiency – usually occur later in a machine's lifecycle and are not "obvious" ...

Umbrella or sun cap? Buy or sell stocks? When it comes to questions like these, many people today rely on AI-supported recommendations. Chatbots such as ChatGPT, AI-driven weather forecasts, and ...

Orthopedic surgery has always evolved alongside technology, from advances in biomaterials to minimally invasive techniques.Today, however, the pace of innovation is accelerating. AI, robotic ...

Semiconductor chip design is a critical value driver across the semiconductor value chain, defining system architecture, performance, functionality and security, while contributing up to half of ...

The Growing Challenge of Cybersecurity in Lean IT Environments In today’s digital landscape, cybersecurity threats are evolving faster and becoming more sophisticated than ever before. Organizations, ...

Could the Future of Privileged Access Management Lie in Non-Human Identities? Where the number of machine identities is rapidly expanding, the need for advanced management solutions becomes more ...