AI
IBM Research AI: Advancing AI for industry and society
Pushing the boundaries of human-AI interaction at IUI 2021
At the 2021 virtual edition of the ACM International Conference on Intelligent User Interfaces (IUI), researchers at IBM will present five full papers, two workshop papers, and two demos.
From HPC Consortium’s success to National Strategic Computing Reserve
Founded in March 2020 just as the pandemic’s wave was starting to wash over the world, the Consortium has brought together 43 members with supercomputing resources. Private and public enterprises, academia, government and technology companies, many of whom are typically rivals. “It is simply unprecedented,” said Dario Gil, Senior Vice President and Director of IBM Research, one of the founding organizations. “The outcomes we’ve achieved, the lessons we’ve learned, and the next steps we have to pursue are all the result of the collective efforts of these Consortium’s community.” The next step? Creating the National Strategic Computing Reserve to help the world be better prepared for future global emergencies.
This ship has no crew and it will transform our understanding of the ocean. Here’s how
IBM is supporting marine research organization ProMare to provide the technologies for the Mayflower Autonomous Ship (MAS). Named after another famous ship from history but very much future focussed, the new Mayflower uses AI and energy from the sun to independently traverse the ocean, gathering vital data to expand our understanding of the factors influencing its health.
The remarkable work of women scientists and researchers at IBM Research
During the month of March, IBM Research put the spotlight on a number of women scientists and engineers, and asked them about their professional and personal motivations, journeys and experiences as women — and particularly, as women in STEM. They represent the breadth of career experiences at IBM Research, across disciplines, geographies, ethnicities, tenures and backgrounds, who share a passion for science and tech, as well as a commitment to help all women rise to meet their aspirations.
AI helps explain your microbiome
Newly published research describes an Explainable AI to help understand the link between skin microbiome composition and personal wellbeing.
IBM’s AI goes multilingual — with single language training
At AAAI, our team presented two new multilingual research techniques that enable AI to understand different languages while only trained on one.
IBM researchers check AI bias with counterfactual text
Our team has developed an AI that verifies other AIs’ ‘fairness’ by generating a set of counterfactual text samples and testing machine learning systems without supervision.
IBM’s AI learns to navigate around a virtual home using common sense
In a recent paper introduced at the 2021 AAAI Conference on Artificial Intelligence (AAAI), we describe an AI that trades off ‘exploration’ of the world with ‘exploitation’ of its action strategy to maximize rewards. In Reinforcement Learning, an AI gets a reward – such as a bag of gold behind a locked door in a video game – every time it reaches specific desirable states. We have greatly improved this exploration vs exploitation tradeoff using additional commonsense knowledge – in the form of crowdsourced text. Our work could lead to better mapping and navigation applications, and to a new generation of interactive assistive agents able to reason like humans.
IBM AI helps to break down massive code to ease cloud migration
We use AI to automatically break down the overall application by representing application code as graphs. Our AI relies on Graph Representation Learning – a popular method in deep learning. Graphs are a natural representation for software and applications. We translated the application to a graph where the programs become nodes. Their relationships with other programs become edges and determine the boundary to separate the nodes of common business functionality.
Mono2Micro AI speeds up app ‘refactoring’ before cloud move
To help the developers that update legacy applications, our team has created Mono2Micro (monolith-to-microservice) – an AI assistant that modernizes legacy applications to help move them to the cloud as microservices. Our tool simplifies and speeds up the often error-prone “application refactoring” process of partitioning and preserving the original semantics of the legacy, monolith applications.
Boosting our understanding of microbial world with software repurposing
In our latest paper published in the Microbiome Journal, we propose a way to improve the speed, sensitivity and accuracy of what’s known as microbial functional profiling – determining what microbes in a specific environment are capable of.
Moving beyond the self-reported scale: Objectively measuring chronic pain with AI
Together with Boston Scientific, we are presenting research that details the feasibility and progress towards our new pain measurement method at the 2021 North American Neuromodulation Society Annual Meeting.