AI drives decision inputs: In 2025, both big pharma and small pharma use advanced predictive modeling, digital twins, and AI-powered analytics throughout R&D and regulatory processes. This reduces ...

In today’s rapidly evolving tech landscape, centralized architectural decision-making can become a bottleneck to delivery performance and innovation. Through stories from our own journey, we’ll share ...

The Tesla board of directors, with majority shareholder support, approved a compensation package for Elon Musk worth $1 ...

Prof Gerry Whyte said the majority report of an 11-member review group, endorsed by nine members including its chair, former ...

Classic cybersecurity tools are nearly powerless against semantic attacks. Signature detection, hashing, and code audits all depend on identifying explicit changes in code or data, but meaning-level ...

Generative tools may eventually reshape creative workflows, but predictive, optimization and data-driven AI are already ...

AI-powered ‘data fabrics’ bring advanced capabilities to disaster response by unifying disparate data streams and bringing ...

On one hand, we need raw materials such as copper for the transition to climate-friendly technologies, but on the other hand, ...

Quiq reports on key questions surrounding AI, covering its capabilities, risks, ethical challenges, and future implications ...

People often think of breakups as impulsive or emotionally driven events. But new research suggests that ending a romantic ...

An emerging approach in AI innovation is hybrid AI, which combines the scalability of machine learning (ML) with the ...

Even within AI systems, human direction continues to shape the outcome. People define the model’s parameters, select the data ...