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IBM
IBM here covers the company’s work on enterprise AI infrastructure, including high-scale vector indexing, RAG orchestration, agentic systems, and quantum computing. The common thread is making advanced AI practical, governable, and efficient in real deployments.
8 articles
IBM and OpenAI bet on enterprise security AI
4 ways IBM and OpenAI are aiming AI at enterprise cybersecurity, from software supply chains to faster patching and validation.
IBM, Red Hat pledge $5B for open source AI security
IBM and Red Hat are launching Project Lightwell, a $5 billion push to secure open source software with AI and 20,000 engineers.
Why Washington’s Quantum Spending Is the Right Kind of Industrial Pol…
美國砸20億美元押注量子運算，是把國安、製造與供應鏈綁在一起的正確政策。
Why the quantum stock rally is more policy trade than tech revolution
The quantum stock surge is a policy-driven trade, not proof that quantum computing is ready for prime time.
IBM adds Anthropic-backed AI security push
IBM expanded AI security services and teamed with Anthropic on Project Glasswing to help secure open-source software in critical infrastructure.
IBM’s vibe coding guide turns prompts into code
I break down IBM’s vibe coding guide into a practical workflow, its limits, and a copy-ready template for AI-assisted coding.
IBM hits 100B vectors on one server
IBM says its CAS prototype indexed 100 billion vectors on one server, with 694 ms latency and 90% recall for RAG.
AI and Tech Trends to Watch for in 2026
Explore the key AI and tech trends expected to shape 2026, from quantum computing breakthroughs to the rise of AI super agents.