In 2019, IBM and the Broad Institute of MIT and Harvard started a multi-year collaborative research program to develop powerful predictive models that can potentially enable clinicians to identify patients at serious risk for cardiovascular disease (1, 2). At the start of our collaboration, we proposed an approach to develop AI-based models that combine and […]
Fifty years ago this month, IBM researcher and computing pioneer Edgar Frank Codd published the seminal paper “A Relational Model of Data for Large Shared Data Banks,” which became the foundation of Structured Query Language (SQL), a language originally built to manage structured data with relational properties. Today SQL is one of the world’s most […]
No organization is safe against cybercrime. Recent studies have shown that these crimes will cost the world well over $5 trillion a year by 2024. Cyber attackers breach corporate networks using a myriad of techniques, with application vulnerabilities corresponding to 25% of all exploitable attack vectors. More disturbing is that these attacks can go unnoticed […]
With the festive season just days away, it’s not just turkey and cranberry sauce flying off the supermarket shelves. It’s also champagne, wine, gin… and, of course, whisky. And it better be genuine. IBM researchers are working on technologies to help you make sure the whisky you buy is indeed what it says on the […]
IBM scientists presented three papers at INTERSPEECH 2019 that address the shortcomings of End-to-end automatic approaches for speech recognition - an emerging paradigm in the field of neural network-based speech recognition that offers multiple benefits.
Today, IBM is launching the new z15 mainframe, the culmination of four years of collaborative development company-wide, with a focus on meeting crucial customer data security and privacy needs across hybrid multicloud environments. To build this ground-breaking new system to meet these client demands, IBM Research partnered with IBM Systems to help develop a new […]
Why do targeted cancer therapies often fail? We have acquired so much more understanding about cancer in the last fifty years than in the last five thousand years. Approaches to patient treatments have dramatically changed, and statistics show significant improvement in patient response and outcomes to therapy in the last half a century . Yet […]
A team of researchers from IBM Research AI and AI Horizons Network-partner the University of Michigan published the papers “A Large-Scale Corpus for Conversation Disentanglement” and “Learning End-to-End Goal-Oriented Dialog with Maximal User Task Success and Minimal Human Agent Use” at ACL 2019. This work address two main challenges in building enterprise AI assistants.
IEEE ICC 2019 “Best Paper” details novel deep reinforcement learning approach to maximize overall performance of Software-Defined Networking that supports 5G.
At CVPR 2019, IBM researchers introduce techniques to interpret visually descriptive language to generate compositional scene representations from textual descriptions.