Latest Stories
2026-05-15 13:50:26 · Environment & Energy
The EPA's proposal to roll back coal plant wastewater rules allows toxic heavy metals like arsenic and mercury to be dumped into U.S. waterways, threatening drinking water and public health while delaying enforcement.
2026-05-15 13:49:13 · Environment & Energy
Consumer Reports reveals the 5 least reliable midsize SUVs: Jeep Grand Cherokee, Mazda CX-70, Ford Explorer, Chevrolet Traverse, Nissan Pathfinder. None are EVs, which tend to score higher in reliability.
2026-05-15 13:47:59 · Environment & Energy
An electric school bus driver shares seven key reasons why they will never return to diesel, highlighting quiet operation, cost savings, and environmental benefits.
2026-05-15 13:40:04 · Cybersecurity
Cyber-enabled cargo theft now uses phishing and stolen credentials to reroute freight, replacing physical hijackings, NMFTA warns, urging supply chain security upgrades.
2026-05-15 13:39:44 · Cybersecurity
An 18-year-old NGINX vulnerability, discovered by an autonomous scanning system, poses DoS and potential RCE threats. Urgent patching advised.
2026-05-15 13:39:21 · Cybersecurity
OpenAI confirms two employee devices breached in TanStack supply chain attack, rotates code-signing certificates as precaution.
2026-05-15 13:39:05 · Cybersecurity
Cisco warns of critical CVE-2026-20182 zero-day in Catalyst SD-WAN Controller allowing full admin takeover. Patch immediately.
2026-05-15 13:38:47 · Cybersecurity
Microsoft warns of a critical Exchange zero-day exploited via XSS attacks. Mitigations issued; patch pending. Act now to protect servers.
2026-05-15 13:36:55 · Programming
From 2023's code autocomplete to 2026's prompt-to-app generation, enterprise AI coding faces a governance gap in compliance, security, and explainability.
2026-05-15 13:36:35 · Mobile Development
Learn how data normalization enables fair comparisons but introduces risks like dashboard confusion and AI governance issues. Discover best practices for transparent, documented normalization decisions.
2026-05-15 13:36:08 · Finance & Crypto
Learn how trusted AI agents can scale procurement expertise from 200 to 2,000 suppliers by capturing tacit knowledge and delivering consistent decisions.
2026-05-15 13:35:46 · Technology
Explores why human oversight is indispensable in AI, drawing from a field chief data officer's insights on ethics, bias, and accountability that algorithms cannot replace.
2026-05-15 13:35:25 · Finance & Crypto
CEOs claim AI strategy ownership, but CIOs make key decisions. This article explores the accountability gap and offers steps to bridge it for effective AI leadership.
2026-05-15 13:22:40 · Technology
MCP servers are transforming AI integration, with experts calling them a foundational infrastructure layer that simplifies data flow and accelerates deployment.
2026-05-15 13:22:21 · Robotics & IoT
Intrusion detection is shifting from signature-based matching to ML and agentic AI that understand normal network context, promising fewer false positives and catch of novel attacks.
2026-05-15 13:21:58 · Education & Careers
Breaking: Neo4j CTO warns model-only AI agents suffer from context rot; Graph RAG combining vectors and knowledge graphs boosts accuracy for enterprise.
2026-05-15 13:21:42 · Startups & Business
Braze CTO Jon Hyman discloses a rapid AI-first engineering transformation in months, not years, signaling a new industry norm for agentic era readiness.
2026-05-15 13:21:23 · Startups & Business
AI compresses software development, demanding observability shift to right telemetry. AI coding erodes human intuition, making production operations harder. Industry experts warn of new challenges.
2026-05-15 13:19:27 · Education & Careers
High-quality human data is the unsung hero of AI, powering models from classification to RLHF. This article explores annotation methods, quality assurance techniques, historical wisdom, and the cultural need to value data work.
2026-05-15 13:19:00 · Open Source
Explores the extension of diffusion models from image to video generation, covering temporal consistency, data challenges, architectural changes, and current research directions.