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Q2 2025 saw significant global Internet disruptions caused by government shutdowns, power outages, fiber optic damages, technical issues, and cyberattacks, highlighting vulnerabilities in network infrastructure and resilience.

Cloudflare rapidly deployed emergency WAF Managed Rules to protect customers from the critical SharePoint deserialization vulnerability CVE-2025-53770 that enables remote code execution and persistent cryptographic key theft.

Gemini 2.5 Flash-Lite offers a cost-efficient, low-latency, and high-quality AI model with native reasoning and multimodal capabilities, now available for scalable production use.

Exploring how AI serves as a transformative tool for universal empowerment and innovation.

OpenAI and the UK Government form a strategic partnership to accelerate AI-driven economic growth and innovation.

Language models use innovative mathematical shortcuts like the Associative and Parity-Associative algorithms to efficiently predict dynamic sequences by organizing state changes hierarchically rather than sequentially.

MIT Learn is a new AI-powered platform that unifies over 12,700 educational resources across MIT's learning platforms, offering personalized course recommendations and interactive tools to enhance global access to MIT's non-degree learning opportunities.

Researchers at MIT present a novel image editing and generation approach using 1D tokenizers and detokenizers combined with CLIP, eliminating the need for traditional generators and significantly reducing computational costs.

Backstory is an experimental AI tool that helps users explore the origin, authenticity, and context of online images by analyzing metadata, usage history, and potential AI generation to assess trustworthiness.

An advanced version of Gemini with Deep Think achieved gold-medal standard at the International Mathematical Olympiad by solving five out of six problems using natural language reasoning within competition time constraints.

Exploring the impact and potential of a $50 million fund dedicated to community-driven development projects.

Advanced high-performance computing models validated by experimental data accurately predict long-term interactions and safety of underground nuclear waste disposal systems.