IBM Research

We’re excited to announce that Qiskit Global Summer School is *back* for the 5th time—with a focus on helping participants master the many new capabilities introduced with the recent release of the Qiskit SDK’s first major version. The theme of this year’s course will be ‘The Path to Utility,’ and will offer 6,000 people the opportunity to gain an understanding of how to harness the full potential of utility-scale hardware through ten online lectures delivered by various IBM Quantum experts, as well as nine live Q&A sessions hosted by IBM Quantum education leads John Watrous and Olivia Lanes, PhD. Our hope is that the Qiskit Global Summer School will be a launch point for many new quantum learners. Head over to the blog to learn more and enroll in this summer’s program: https://ibm.co/4eguGqX

On June 9, 1957, MIT unveiled a dedicated research center housing a $2.7 million IBM 704 computer, weighing in at nearly 20,000 lbs. Donated by IBM as a contribution to advance research and education in the nascent field of computer science, the installation of the IBM 704 marked an important moment in computer history. The 704 was MIT’s first public computer and the largest computer installed in any academic institution at the time. Since 1957, IBM and MIT have continued to collaborate to advance scientific R&D. In 2017, this partnership led to the creation of the MIT-IBM Watson AI Lab in Cambridge, Massachusetts. Bringing together scientists from MIT and IBM Research, the lab focuses on groundbreaking AI research and its application to real-world challenges. Learn more about the MIT-IBM Watson AI Lab here: https://ibm.co/3Xivbem Keep checking back for more moments in IBM’s research history. #IBMHistory

At IBM's #Think2024 and Red Hat Summit 2024, we unveiled a new way to improve generative AI models. Designed to lower the cost of large language model development by allowing people to contribute new knowledge and skills to any model, our new open-source InstructLab project provides tooling for everyone to innovate, test, refine, and shape the future of AI. Check out this deep dive on the technology from IBM Research behind InstructLab: https://lnkd.in/ePHekyzc

Benchmarking a large language model to evaluate its capabilities can take a day or more and cost as much as $10,000. But large benchmarks, like large models, aren’t always better. IBM researchers discovered that tiny benchmarks with 99 percent fewer questions are almost as good at predicting how well an LLM will do on a set of tasks. Learn more about IBM’s growing number of miniaturized open-source LLM benchmarks. https://ibm.co/3RfYfzl

Cleveland Clinic, IBM Research and the STFC Hartree Centre announce a collaboration to advance healthcare and life sciences through artificial intelligence and quantum computing.

ICYMI: At #Think2024, IBM showed how generative AI is set to take automation to another level. We're working on a range of AI technologies meant to make work simpler and more efficient. Check out the latest breakthroughs we showcased this year at Think: https://ibm.co/3yEOcgz

Rapidus Corporation and IBM are expanding our collaboration to advance chiplet packaging technology for 2nm-generation semiconductors. This new agreement is aimed at establishing mass-production technologies for chiplet packages. Together, we’re reaffirming our joint commitment to supporting the development of the most advanced node production, developing new semiconductor use cases, and supporting the semiconductor workforce. https://ibm.co/3KsnqdZ

Have you ever wondered what a blade of grass looks like up close? Or did you know that there’s actually a statue of Abraham Lincoln on the U.S. penny? With scanning electron microscopes (SEMs), you can see down to this minute level. Come explore our lab at IBM Research where we use SEMs so accurate that they use beams of electrons to create images of objects 50,000 times smaller than what we can see with our eyes. https://ibm.co/4aKf2kI

This week on The Short, we recap the biggest news and announcements made at #Think2024, leading the way in foundation model transparency, and IBM's Geospatial Studio. Check out the latest news here:

Exciting news coming out of #Think2024! Introducing a prototype AI tool tailor made for turning environmental data into actionable insights. IBM’s new cloud-native Geospatial Studio is designed to make it easier for organizations to customize foundation models for climate prediction and other applications. Together, IBM and NASA - National Aeronautics and Space Administration expect their recently announced foundation model to be available in the Geospatial Studio later this year. Check out the IBM Research blog to learn how foundation models may soon bring a new way of predicting weather and climate, and catastrophic events like floods and wildfires: https://ibm.co/3VbBPRU