As technology continues to reshape financial services, regulators and policy setters are embarking on a range of digital finance initiatives to manage risks and set appropriate standards.

A new framework divides public-sector AI into five categories, showing why governments need different safeguards for systems with different capabilities and risks.

EU AI Act Article 50 transparency obligations take effect August 2, 2026, requiring chatbot disclosures, deepfake labels, and machine-readable AI content marks — but no single watermarking technology ...

Volume-cap allocations can reveal which projects will gain access to tax-exempt financing and which may be crowded out, ...

Welcome to this month’s issue of The BR Privacy, Security & AI Download, the digital newsletter of Blank Rome’s Privacy, Security & Data ...

China's Cyberspace Administration launched a formal national security review of Palo Alto Networks products sold in China on Thursday, initiating a legal process that previously produced an ...

Spread the love“`html It’s no secret that the digital world is a dangerous place. But if you’re running a business, or even ...

Meta has launched Muse Code, an AI coding agent in beta, designed to handle entire engineering tasks from planning to ...

DETROIT, July 13 : German auto component and chip maker Bosch is beginning sample production at its first U.S. semiconductor factory, the company said Monday, finalizing a $225 million agreement with ...

Embabel has reached its 1.0 release, providing a framework for AI agents on Java It allows Java and Kotlin developers to ...

MathWorks’ Tianyi Zhu talks about the key factors involved in integrating agentic AI into engineering processes.

At over $11 billion, the two smallest-cap companies in the S&P 500 are larger than Penske and have weights of 0.1% and 0.0%.