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Discarded salon hair is being transformed into an oil-absorbing barrier that protects mangroves from oil spills in Rio de Janeiro

Discarded human hair is now preventing oil pollution in Rio de Janeiro’s Guanabara Bay. Each gram of hair absorbs approximately five grams of oil, repelling water effectively. These hair barriers, made from salon waste, can remain in the water for four months. The initiative protects vulnerable mangrove ecosystems from chronic and everyday oil leaks. This

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How AI is changing the vulnerability response timeline

Artificial intelligence is giving security researchers new ways to examine code, trace unusual behaviour and identify flaws that conventional tools may overlook. The pressure is particularly visible around Zero-day vulnerabilities, a recent Minimus analysis considers how container composition, dependency records and rebuild speed affect the response after an unknown flaw is exposed. Faster analysis helps only

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The NSX Microsegmentation Vault: Designing Distributed Firewall Policy Around Applications, Not Perimeters

TL;DR The vault image presents a useful mental model for NSX microsegmentation: every workload should occupy a controlled security compartment rather than inheriting trust from a shared network segment. NSX Distributed Firewall can provide distributed enforcement close to protected workloads, but the real outcome depends on accurate application discovery, reliable groups and tags, narrowly scoped

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The AI-Ready University Index: What defines readiness in higher education today?

AI is changing how universities are evaluated by students, parents, employers, and industry. As expectations continue to evolve, AI readiness is emerging as an important benchmark for higher education. A structured assessment helps universities understand their preparedness across the areas that matter most for the future.

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webAI Releases TwIL-LM: A 1.7B and 3B Formal-Logic Model Family for Autoformalization on Local Hardware

webAI has released TwIL-LM, a two-model family of formal-logic reasoners at 1.7B and 3B parameters. The 3B member, TwIL-LM3, is a merged fine-tune of SmolLM3-3B; the 1.7B member is a PEFT LoRA adapter for SmolLM2-1.7B-Instruct. Both target autoformalization: translating English into first-order logic and checking whether a conclusion follows from its premises. Both run locally,

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