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IBM CEO Arvind Krishna argues that AI is not a speculative bubble but warns of trillions in overinvestment, noting that companies may struggle to generate sufficient returns on massive AI infrastructure spending over the next five to seven years.

IBM released an open-source blog on Hugging Face detailing how to build robust enterprise agents with structured reasoning and tool use, going beyond basic LLMs and agents.

IBM and Red Hat announce a $5 billion investment into Project Lightwell, a security clearinghouse that uses AI to identify and fix vulnerabilities in open source software, offering commercial subscriptions for enterprise use.

Martin, an expert from IBM Technology channel, explains in a simple and profound way seven key concepts in the AI world through the video: Agents, large reasoning models, vector databases, RAG, MCP protocol, MoE architecture, and artificial superintelligence. It is considered the most information-dense AI concept explainer of the year.

Researchers used an IBM quantum computer to reduce uncertainty in an AI model, achieving the first demonstration of quantum enhancement in a pretrained large language model, allowing it to answer questions correctly where the base model failed.

IBM has spun off the first dedicated quantum chip foundry, focusing solely on manufacturing quantum processors.

This video provides an in-depth introduction to the file organization of IBM System/360, covering sequential and random data processing, indexing mechanisms, device independence, and cost advantages. It is a historical technical review.

Ferrari partners with IBM to use AI to revamp its fan app, offering personalized content, games, and AI companionship to deepen fan engagement.

This article details IBM's Project SWIFT from the 1970s, which pioneered fully automated semiconductor wafer fabrication, achieving turnaround times per layer of just 5 hours — far faster than modern fabs. It highlights the innovations and the vision of Bill Harding.

A comprehensive history of the ThinkPad laptop line from its 1992 debut under IBM to the current Lenovo era, highlighting its continuous design and engineering evolution and its modern role as an AI workstation capable of running large language models locally.

The article explores the origin and meaning of the phrase 'Halt and Catch Fire' in computing, tracing it from a joke mnemonic to actual CPU behavior in the Motorola 6800 and IBM System/360.

Marc Andreessen explains IBM's 'Wild Ducks' program, where a few designated innovators were allowed to break rules, and how venture capital later enabled such individuals to leave and start companies.

This is a digitized 1965 IBM document detailing the application of linear programming to ice cream blending optimization.

Designer Jens Kutilek documents the mathematical and historical research behind reviving IBM Selectric Composer typefaces, exploring the unit-based spacing system and engineering constraints of the iconic 1960s typewriter. The project involved reverse-engineering IBM's 9-unit glyph width system used by the Selectric Composer's interchangeable 'golf ball' type elements.

This article introduces VAKRA, an executable benchmark for evaluating AI agents' reasoning and tool-use capabilities in enterprise-like environments. It analyzes failure modes and details the benchmark's structure involving API chaining and document retrieval.

An illustrated history of IBM's System/4 Pi aerospace computers, used in the Space Shuttle, military aircraft, and space stations.