Artificial Intelligence

The EFF and its partners are proposing new privacy regulations to combat the use of AI-driven disinformation in Brazilian elections. They argue that strict enforcement of data protection laws is essential to prevent political microtargeting and the manipulation of voters.

MIT researchers have introduced PottsMPNN, a machine-learning framework that enhances protein design by prioritizing physical stability over evolutionary mimicry. This approach allows for the creation of entirely novel proteins with predictable folding and mutation effects.

As global AI regulations diverge across borders and states, organizations face significant legal uncertainty. The author suggests that implementing robust internal governance frameworks can transform this regulatory challenge into a competitive advantage by fostering trust and operational efficiency.

The EU's Artificial Intelligence Act is now enforceable, establishing a risk-based framework to regulate AI development and deployment. The act focuses on increasing transparency through mandatory labeling of synthetic content and oversight of high-risk applications.

The EU's proposed CADA legislation marks a transition from purely risk-based regulation to an 'AI promotion' strategy. It aims to foster technological sovereignty by investing in infrastructure, data availability, and specialized AI leadership initiatives.

The EU AI Act implementation timeline has been significantly delayed by the new AI Omnibus to reduce administrative burdens. Key changes include extended deadlines for high-risk systems and expanded regulatory powers for the AI Office.

The article examines how California and Brazil are leading the way in regulating social media and AI to protect minors from digital harms. It contrasts US legislative struggles with more comprehensive international approaches like Brazil's ECA Digital.

As AI agents become integrated into enterprise workflows, traditional identity security must evolve to manage these new digital entities. The author argues for a unified, programmable identity model that provides visibility and just-in-time access without exposing sensitive credentials.

The rise of autonomous AI agents necessitates a shift from predictable security models to structural governance. Organizations must move beyond simple technical controls to address the inherent unpredictability and high-level authority of agentic systems.

CISA has implemented a new directive forcing federal civilian agencies to remediate high-risk vulnerabilities in as little as three days. This rapid response requirement is a direct reaction to the increased ability of threat actors to use AI for automated bug hunting and exploitation.

OQC, JPMorganChase, and AMD are collaborating to build a Quantum-AI Data Centre in London. The platform will integrate quantum hardware with AI and classical computing to research complex financial applications.

Bitcoin miners are emerging as 'power landlords' by leveraging their large-scale electrical infrastructure to support AI hyperscalers. This strategic shift is expected to drive massive revenue growth as the demand for AI computing power accelerates.

Meta reported record revenue in Q1 2026, but this success is coupled with major layoffs of 8,000 employees. The company is aggressively redirecting profits and capital expenditure toward massive AI infrastructure buildouts, signaling a drastic corporate pivot.