Ibm Research

Bonisiwe Shabane

-Dec 27, 2025, 6:01 PM

IBM Research is the research and development division for IBM, an American multinational information technology company. IBM Research is headquartered at the Thomas J. Watson Research Center in Yorktown Heights, New York, near IBM headquarters in Armonk, New York. It is the largest industrial research organization in the world[citation needed] with operations in over 170 countries and twelve labs on six continents.[1] IBM employees have garnered six Nobel Prizes, six Turing Awards, 20 inductees into the U.S. National Inventors Hall of Fame, 19 National Medals of Technology, five National Medals of Science and three Kavli Prizes.[2] As of 2018[update], the company has generated more patents than any other business in each...

The roots of today's IBM Research began with the 1945 opening of the Watson Scientific Computing Laboratory at Columbia University.[4] This was the first IBM laboratory devoted to pure science and later expanded into... Watson Research Center in 1961.[5][6] Notable company inventions include the floppy disk, the hard disk drive, the magnetic stripe card, the relational database, the Universal Product Code (UPC), the financial swap, the Fortran programming language, SABRE airline reservation system,... Advances in nanotechnology include IBM in atoms, where a scanning tunneling microscope was used to arrange 35 individual xenon atoms on a substrate of chilled crystal of nickel to spell out the three letter... It was the first time atoms had been precisely positioned on a flat surface.[8] Our vision for the future of computing is focused on integrating high-performance computing, quantum, and AI to tackle problems no single technology can solve alone – something we call quantum-centric supercomputing.

This work goes hand-in-hand with the goals of the U.S. Department of Energy (DOE)'s Genesis Mission. Through IBM Quantum Innovation Center partnerships with DOE national laboratories, such as Lawrence Berkeley, Oak Ridge, and Los Alamos; and collaborations with four of the five DOE Quantum Information Science Research Centers, we are... Together, we will pursue new algorithmic breakthroughs and explore how AI and quantum computing can complement each other to maintain and grow American leadership in advanced computing and scientific discovery. Read more on the Genesis Mission ➡️ https://ibm.co/6044BxiYm What if the key to smarter, more efficient LLMs isn't bigger models—but better memory?

IBM researchers just unveiled a new variation of state space models that restores a fundamental skill that transformers struggle with: state tracking, the basis for logical reasoning, sequential understanding, and even basic counting tasks. This breakthrough, PD-SSM, shows significant gains on parity, time-ordered event prediction, and long-sequence tasks—opening new doors for more capable and cost-efficient AI, including code generation. Explore how this model could reshape the future of LLM architecture → https://ibm.co/6046BQdJA CUGA is now live on Hugging Face Spaces. This open-source generalist agent is built for complex, real-world workflows and enterprise experimentation, offering: ✅ High-performing generalist reasoning ✅ Reasoning modes to balance speed ✅ Multi-tool orchestration ✅ Integration with Langflow and Groq Explore... This week at IBM Research… 🚀 Granite 3.3 set a new benchmark for AI transparency, outperforming peers by 23 points.

📈 Our iSWE-Agent for Java now leads the Multi-SWE-Bench, tackling real‑world developer challenges. 🌐 Quantum experts Jerry Chow & Oliver Dial answered big questions about fault‑tolerant quantum computing. Read the LinkedIn article for more updates and deeper insights ⬇️ Transparency is built on details. IBM Granite earned the top spot on the Stanford Foundation Model Transparency Index by disclosing more information about our models, from training data sources to the resources used to build them. Released under a standard Apache 2.0 license, Granite is the first open model family to achieve ISO 42001 certification and is cryptographically signed, confirming adherence to globally recognized best practices for security, governance, and...

Discover why Granite is among the most transparent enterprise models ever developed: https://ibm.co/6043BoCuN We are a community of scientists, engineers, and designers creating the next advances in computing technology. It’s impossible to tell the story of computing without IBM. Our mission at IBM Research has always been to invent what’s next in computing. It’s why IBM researchers have authored more than 110,000 publications110,000 publications. It’s why they are regularly featured in the world’s most prestigious journals and conferencesconferences, and it’s why their awards include six Nobel Prizes, ten Medals of Technology, five National Medals of Science, and six...

Today, IBM Research stands at the forefront of computing. Our semiconductor researchsemiconductor research is pushing the limits of scaling and redefining the way chips are designed; we’re creating new foundation modelsfoundation models and hardware for the next generation of enterprise AI; we’re a... We aspire to make a lasting, positive global impact on business ethics, the environment and the communities where we work and live in. We actively support initiatives like Call for Code that bring technology to communities in need. Working with partners like the United Nations and the Linux® Foundation on open source projects, we're able to fight systemic racism, improve clean water access and more. We empower our IBMers to exemplify behavior that fosters a culture of conscious inclusion and belonging, where innovation can thrive.

We're dedicated to promoting, advancing and celebrating plurality of thought from those of all backgrounds and experiences. Not only has IBM pledged to skill 30 million people globally by 2030, our IBMers have also committed to achieve a minimum of 40 hours of personal learning every year through our skills programs. Conduct ground-breaking research into new superconducting microwave devices and develop new ways to operate them in the field of quantum computing. Most languages use word position and sentence structure to extract meaning. For example, “The cat sat on the box,” is not the same as “The box was on the cat.” Over a long text, like a financial document or a novel, the syntax of these... Similarly, a person might be tracking variables in a piece of code or following instructions that have conditional actions.

These are examples of state changes and sequential reasoning that we expect state-of-the-art artificial intelligence systems to excel at; however, the existing, cutting-edge attention mechanism within transformers — the primarily architecture used in large... An attention mechanism allows an LLM to look back at earlier parts of a query or document and, based on its training, determine which details and words matter most; however, this mechanism alone does... It “sees” all of the input words, a.k.a. tokens, at the same time and handles them in the order that they’re presented, so researchers have developed techniques to encode position information. This is key for domains that are highly structured, like language. But the predominant position-encoding method, called rotary position encoding (RoPE), only takes into account the relative distance between tokens in a sequence and is independent of the input data.

This means that, for example, words that are four positions apart, like “cat” and “box” in the example above, will all receive the same fixed mathematical rotation specific to that relative distance. Now research led by MIT and the MIT-IBM Watson AI Lab has produced an encoding technique known as “PaTH Attention” that makes positional information adaptive and context-aware rather than static, as with RoPE. “Transformers enable accurate and scalable modeling of many domains, but they have these limitations vis-a-vis state tracking, a class of phenomena that is thought to underlie important capabilities that we want in our AI... So, the important question is: How can we maintain the scalability and efficiency of transformers, while enabling state tracking?” says the paper’s senior author Yoon Kim, an associate professor in the Department of Electrical... IBM Research is the research and development division for IBM, an American multinational information technology company. IBM Research is headquartered at the Thomas J.

Watson Research Center in Yorktown Heights, New York, near IBM headquarters in Armonk, New York. It is the largest industrial research organization in the world[citation needed] with operations in over 170 countries and twelve labs on six continents.[1] IBM employees have garnered six Nobel Prizes, six Turing Awards, 20 inductees into the U.S. National Inventors Hall of Fame, 19 National Medals of Technology, five National Medals of Science and three Kavli Prizes.[2] As of 2018[update], the company has generated more patents than any other business in each... The roots of today's IBM Research began with the 1945 opening of the Watson Scientific Computing Laboratory at Columbia University.[4] This was the first IBM laboratory devoted to pure science and later expanded into... Watson Research Center in 1961.[5][6]

Notable company inventions include the floppy disk, the hard disk drive, the magnetic stripe card, the relational database, the Universal Product Code (UPC), the financial swap, the Fortran programming language, SABRE airline reservation system,... Advances in nanotechnology include IBM in atoms, where a scanning tunneling microscope was used to arrange 35 individual xenon atoms on a substrate of chilled crystal of nickel to spell out the three letter... It was the first time atoms had been precisely positioned on a flat surface.[8] This year marks our 80th anniversary in delivering breakthrough research. See our latest work from the 11 labs spread across 18 sites around the world.

Ibm Research

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