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IBM has launched a free 1-hour course on building agentic knowledge graphs, covering topics from introduction to multi-agent orchestration.

Major tech companies including Microsoft, NVIDIA, Meta, IBM, and Palantir issued a joint letter urging Washington regulators to avoid policies that would cripple open-weight AI models, warning of negative consequences for innovation.

IBM reported a 42% drop in mainframe sales, leading to a 25% stock crash, but CEO Arvind Krishna insists the decline is temporary due to customers prioritizing AI hardware spending, not a sign of mainframe demise.

IBM's stock plunged 24% after CEO Arvind Krishna warned of worse-than-expected quarterly performance due to customers shifting budgets to AI datacenter components, causing delayed mainframe purchases and disrupted deals.

The world's largest companies are starting to build their own custom software to replace off-the-shelf solutions. Starbucks dropping IBM and Microsoft in favor of internal systems is seen as a major signal for the AI consulting business.

Starbucks announced it will move away from IBM and Microsoft to build its own custom systems internally, leading to declines in IBM and Salesforce stock prices.

The author built a daily digest POC using IBM Bob, IBM's AI coding agent, and shares their experience with its new v2 features including parallel tool calls and simplified modes, while noting limitations like lack of reusable skills. They ask the community for their own experiences with Bob.

A detailed examination of two circuit boards from the Space Shuttle's I/O Processor, explaining its multi-threaded architecture, network interfaces, and microcode storage using fuse-based PROMs.

IBM announces a breakthrough chip architecture called NanoStack, achieving a sub-1nm node (0.7nm) that packs nearly 100 billion transistors on a fingernail-sized chip, with 50% better performance and 70% energy efficiency than its 2nm chip.

IBM signals a renewed focus on efficiency in AI, marking its comeback in the industry.

IBM announces a new nanostack transistor architecture that enables sub-1 nanometer node chips, offering significant performance and energy efficiency gains for AI data centers.

IBM has unveiled a new chip architecture called nanostack that vertically stacks transistors in two layers, enabling twice the transistor density of its previous technology. This breakthrough could extend Moore's Law for another decade and improve chip performance by 50% and energy efficiency by 70%.

IBM introduces CUGA, an open-source agent harness that handles plumbing for state, tool calls, and orchestration, allowing developers to focus on defining tools and prompts. The article showcases two dozen single-file example apps built with CUGA, demonstrating how it eliminates repetitive framework setup.

A DIY project to build a portable serial and VGA console using a used IBM 1U rack-mount console and terminal emulator, aimed at vintage computer enthusiasts.

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.