On this day in 1997, Dr. Richard L. Garwin, IBM Fellow Emeritus, received the Enrico Fermi Award for his contributions to national security and arms control and achievements in nuclear and particle physics. The Secretary of Energy at the time, Federico Pena, presented the award to Garwin in a ceremony at the State Department in Washington, D.C. The award is the U.S. government's oldest science and technology award and recognizes lifetime achievements in nuclear energy. Fermi himself said that Garwin was “the only true genius” he had ever met. During his time at IBM Research, Dr. Garwin's work left a lasting mark on science and technology. Garwin pioneered advancements in superconducting computers and silicon integrated-circuit technology. He also assisted in developing many widely used products, such as touch screens and medical imaging equipment. Learn more about Dr. Garwin and his many achievements: https://lnkd.in/eke8uwXZ. Keep checking back for more moments in IBM's research history. #IBMHistory
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IBM Research is a group of researchers, scientists, technologists, designers, and thinkers inventing what’s next in computing. We’re relentlessly curious about all the ways that computing can change the world. We’re obsessed with advancing the state of the art in AI and hybrid cloud, and quantum computing. We’re discovering the new materials for the next generation of computer chips; we’re building bias-free AI that can take the burden out of business decisions; we’re designing a hybrid-cloud platform that essentially operates as the world’s computer. We’re moving quantum computing from a theoretical concept to machines that will redefine industries. The problems the world is facing today require us to work faster than ever before. We want to catalyze scientific progress by scaling the technologies we’re working on and deploying them with partners across every industry and field of study. Our goal is to be the engine of change for IBM, our partners, and the world at large.
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As businesses implement AI, there’s been a lot of discussion about the role of open innovation in AI development. Just recently at VentureBeat’s Transform conference, David Cox, VP of AI Models at IBM, raised how “open innovation is really the story of human progress” and emphasized that “open source isn’t just one thing — it can mean lots of things, depending on which model provider you ask.” Exploring this further, he broadened the topic to get to the root of what true open-source AI entails and provided a step-by-step guide on how enterprises can reap the rewards of open innovation — while avoiding the potential pitfalls. Cox pointed out that a significant gap when it comes to today’s AI models — the proprietary “secret sauce” of enterprise data — remains largely unrepresented, leaving opportunity for businesses to better utilize the technology. Learn more about IBM’s approach to AI model development and watch David’s keynote here: https://lnkd.in/e66PzMii
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IBM Research reposted this
For over a century, IBM has pioneered ground-breaking technologies, from the IBM mainframe to Artificial Intelligence (#AI), and now, Quantum Computing. This week, Ireland’s Minister for Enterprise, Trade and Employment, Peter Burke, alongside IDA Ireland and Enterprise Ireland, had the privilege of visiting the IBM Quantum team at the IBM Thomas J. Watson Research Centre in Yorktown Heights, NY. There, they met with Dr. Dario Gil and Dr. Jay Gambetta, who are leading IBM’s development of our Quantum Computing future. IBM’s longstanding presence in Ireland continues to grow, with a recent announcement of a transformative investment in IBM Ireland set to create up to 800 high-value tech #jobs in Dublin, Cork, and Waterford. Read more here: https://lnkd.in/ekvKUmNa #InvestInIreland #InvestInExtraordinary #IBM
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Have you ever thought about how humanity finds scientific breakthroughs? Meet AI-Hilbert, a new algorithm for transforming scientific discovery. In a new Nature Communications paper, IBM researchers and collaborators outline an ‘AI scientist’ called AI-Hilbert that turns existing theories and data into new, consistent, interpretable, mathematical models. With this new tool, they hope to revolutionize the very process of scientific discovery. Learn more here: https://ibm.co/3Y7cMkT
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Large language models are breaking out of chat. They can now call on external tools and APIs and are increasingly capable of planning and acting, mirroring how us humans reason through problems and refine our approach. They are rapidly getting better at analyzing a task, and formulating a plan to accomplish it, often after repeated loops of self-critique. Rather than being told explicitly how to solve a problem, the next generation of LLMs will be tasked with figuring it out on their own. Learn more about how LLM assistants are transitioning into AI agents: https://ibm.co/3zVU8Cq
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On this day in 1988, scientists at the IBM Almaden Research Center in San Jose, California, reported taking the first pictures of atoms in individual benzene molecules. These images were generated by a scanning tunneling microscope — an instrument developed by two IBM scientists, Gerd Binnig and Heinrich Rohrer, who won the 1986 Nobel Prize in Physics for its invention. Organic molecules like benzene were complex to image due to their insulation and mobility. However, a new technique using IBM's microscope enabled researchers to capture these images, revealing each benzene molecule's internal structure and arrangement. Using a scanning tunneling microscope allowed scientists to observe other organic molecules directly and better understand the chemical processes occurring at the atomic level. Keep checking back for more moments in IBM's research history. #IBMHistory
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IBM Research hosted the annual U.S. National Science Foundation RINGS Annual Forum at our headquarters in Yorktown, NY, July 11-13. The event was attended by members of the NSF, the US Department of Homeland Security and Food and Drug Administration, along with several industrial partners, and dozens of universities. The IBM co-sponsored program conducts research into next-generation infrastructure resiliency. In addition to presenting the research results, multiple breakout groups discussed future directions, identifying topics including the characteristics of a future network, models for deliberate innovation, and enhancements in future radio spectrum. Read more about the sessions below. Jeffrey Welser Sudhir Gowda Dinesh Verma https://ibm.co/46q0BSF
PI In-Person Meeting 2 | RINGS VO
rings-vo.org
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Last week, IBM reaffirmed its commitment to the Rome Call for AI ethics. IBM along with other leaders in the industry, and representatives from many of the world's major religions, came together in Hiroshima, Japan to discuss developing AI ethically. Learn more about the Rome Call for AI ethics and the implications for future development of AI: https://ibm.co/3WjggiZ
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On this day in 1965, the Jet Propulsion Laboratory of the California Institute of Technology, now part of NASA - National Aeronautics and Space Administration, used an IBM 7094 computer to develop photographs taken of Mars by the Mariner IV spacecraft probe. The Mariner IV took pictures with a single television camera on board and radioed the images over 135 million miles back to Earth in a steady stream of digits. It took roughly eight and a half hours to send a single image. The IBM 7094 processed and decoded the digits from Mariner IV, turning them into a series of 40,000 dots that made up a picture. These dots were then printed onto a magnetic tape and scanned by a 35mm film converter. Take a look at the first close up images taken of another planet and keep checking back for more moments in IBM’s research history. #IBMHistory
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In this week's newsletter, we explore how IBM Research is serving up AI faster. We dive into IBM's Granite LLM emerging at the top of the SQL class, how speculative decoding and paged attention help serve AI models faster, and we travel across the pond to explore how IBM AI is improving the fan experience at Wimbledon. Read more on the latest news and subscribe here:
Serving up AI faster
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