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  1. ResearchReach 36

    IBM breaks the 1nm barrier with 3D Nano Stack chips

    IBM just unveiled the world’s first sub-1 nanometer chip technology, introducing a 3D "nanostack" architecture at the 0.7nm node. By vertically stacking transistors, the design squeezes nearly 100 billion transistors onto a fingernail-sized chip—doubling density over 2nm with up to 50% higher performance or 70% better efficiency. Why it matters: It proves Moore’s law is still alive, paving the way for atomic-scale hardware to power next-gen AI workloads.

  2. IndustryReach 54

    Claude tackles ancient COBOL code, sends IBM tumbling 10%

    Anthropic just announced that Claude Code can automate legacy COBOL modernization, shrinking multi-year mainframe overhaul projects down to quarters. The tool maps code dependencies and automates analysis that previously required massive consulting teams, dealing an immediate blow to traditional IT service providers and triggering a 10% plunge in IBM shares.

  3. IndustryReach 38

    IBM taps Anthropic to bring Claude into its developer stack

    IBM just partnered with Anthropic to integrate Claude across its enterprise software portfolio, kicking off with a brand-new AI-first IDE. Internal trials across 6,000 IBM engineers showed an average 45% productivity jump without sacrificing code governance. The duo is also teaming up on open Model Context Protocol (MCP) standards to help enterprises deploy agents safely.

  4. Open sourceReach 46

    IBM blends Mamba and Transformer in new Granite 4 models

    IBM just open-sourced Granite 4, a new language model family combining Transformer attention with Mamba-2 state space architecture. The models range in size from 3 billion to 32 billion parameters. In benchmarks, the 7B hybrid model consumed just 15GB of RAM—one-sixth of its predecessor—dramatically lowering long-prompt inference costs.

  5. ResearchReach 32

    NASA and IBM just built an AI model for the Sun

    NASA and IBM just launched Surya, an open-source heliophysics foundation model trained on 9 years of solar observation data. It can visually predict solar flares two hours in advance—beating existing benchmarks by 16%—to help protect satellites and power grids from space weather chaos.

  6. IndustryReach 34

    NVIDIA teams up with storage giants to feed agentic AI

    NVIDIA just rallied major storage makers and ODMs around its AI Data Platform reference design to power agentic AI. By embedding GPUs and DPUs closer to massive enterprise data stores, the new hardware helps agents index, retrieve, and reason across private docs in real time without bottlenecking.

  7. IndustryReach 44

    IBM launches z17 mainframe to bring AI straight to enterprise data

    IBM just unveiled the IBM z17 mainframe powered by its new Telum II processor, designed to score 100% of enterprise transactions in real-time. It processes over 450 billion inferences a day with 1ms latency—50% more than the z16. Why it matters: Core enterprise workloads like fraud detection and generative AI can now run directly on the mainframe without moving sensitive data off-prem.

  8. Open sourceReach 56

    IBM's Granite 3.2 lets you toggle AI reasoning on and off

    IBM just open-sourced Granite 3.2 under the Apache 2.0 license, bringing experimental reasoning features and its first official vision language model. The new 2B and 8B Instruct models let developers toggle reasoning via a simple API parameter to save compute, while Granite Vision 3.2 2B targets enterprise document understanding.

  9. ResearchReach 31

    IBM's new optical tech speeds up AI training by 5x

    IBM just unveiled a breakthrough in co-packaged optics (CPO), introducing the first polymer optical waveguide prototype to replace copper wires inside data centers. The tech can slash standard LLM training times from three months to three weeks while cutting power consumption fivefold. It has also passed all key manufacturing stress tests.

  10. ResearchReach 31

    IBM's new quantum leap pairs Heron chip with generative AI

    IBM just upgraded its Quantum Heron processor and Qiskit stack, supporting up to 5,000 two-qubit gate operations and slashing a 112-hour benchmark run down to just 2.2 hours. The platform also integrates IBM Granite models to generate quantum code and optimize circuits with AI. Why it matters: Bringing generative AI into quantum supercomputing speeds up algorithm development for physics and materials science.

  11. Open sourceReach 46

    IBM and NASA open-source a climate foundation model

    IBM and NASA just released Prithvi WxC, an open-source weather and climate foundation model trained on 40 years of NASA earth observation data. Available on Hugging Face, it can downscale climate data up to 12x resolution and model complex atmospheric gravity waves. Why it matters: it moves weather AI past narrow forecast tools into a flexible backbone for global climate science.

  12. IndustryReach 55

    McDonald's pulls plug on IBM drive-thru AI

    McDonald's just announced it is ending its automated drive-thru ordering test with IBM, removing the voice AI from over 100 locations by July 26, 2024. The chain isn't abandoning voice AI altogether, but plans to evaluate new partners by the end of the year.

  13. IndustryReach 37

    IBM says 40% of workers must reskill for AI

    IBM just released a study revealing that executives expect 40% of their workforce—nearly 1.4 billion people—will need to reskill over the next three years due to AI. While 87% believe generative AI will augment rather than replace jobs, businesses prioritizing AI report a 36% higher revenue growth rate. The takeaway: soft skills like communication and adaptability are rapidly overtaking raw technical expertise.

  14. Open sourceReach 46

    IBM and NASA open-source massive geospatial AI model

    IBM and Hugging Face just open-sourced a geospatial AI foundation model built in partnership with NASA. Trained on a year of satellite data across the continental U.S., the model beats state-of-the-art benchmarks by 15% using half the labeled data. Why it matters: It turns massive satellite archives into ready-to-use tools for tracking floods, fires, and deforestation.

  15. AI toolsReach 31

    will.i.am launches FYI, an AI co-pilot for creatives

    will.i.am just launched FYI (Focus Your Idea), an all-in-one productivity app designed specifically for creative teams. The platform bundles end-to-end encrypted messaging, asset storage, and generative AI co-pilots into a single hub, including an IBM watsonx integration to draft NDAs. It aims to spare artists the friction of juggling WhatsApp, cloud drives, and ChatGPT.

  16. IndustryReach 36

    Wimbledon brings AI-generated commentary to tennis highlights

    Wimbledon is teaming up with IBM to roll out AI-generated audio commentary and captions for match highlights on its official app and website. The watsonx platform analyzes court and player tracking data to produce natural tennis commentary in near-real-time. While it is limited to video clips for now, IBM views it as an early step toward AI commentary for full matches.

  17. IndustryReach 57

    Sam Altman's historic testimony calls for AI licensing

    OpenAI CEO Sam Altman just testified before a Senate subcommittee for the first time, urging lawmakers to create dedicated regulatory agencies and licensing systems for advanced AI models. Senators pledged not to repeat the past mistakes made with social media, praising Altman's cooperative stance as night and day compared to other Big Tech executives.

  18. AI toolsReach 34

    IBM takes another swing at AI with Watsonx

    IBM just launched Watsonx, a comprehensive enterprise studio designed to help companies train, tune, and deploy custom generative AI models. The suite bundles an AI studio, a governance layer, and specialized foundation models alongside a partnership with Hugging Face. Why it matters: IBM is pitching enterprise trust and private cloud deployment to win over businesses still wary of Big Tech rivals.