AI

IBM Research AI: Advancing AI for industry and society

IBM at the Intersection of Human-Computer Interaction and AI

IBM researchers present their latest work in human-computer interaction (HCI), which focuses on improving the interaction between humans and AI systems.

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Moving Beyond the Lab: IBM Research Powers Pipeline of AI Advances for the Enterprise

IBM AI researchers are responsible for developing many of the NLP capabilities IBM has brought to market. With the announcement that IBM will begin integrating NLP features developed for Project Debater into Watson, IBM Research once again delivers unique technology from the lab to the enterprise.

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The potential benefits of AI for breast cancer detection

A new study in JAMA Network Open highlights how AI can improve the accuracy of breast cancer screenings in combination with assessments from radiologists.

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Characterizing the Evolution of Tasks Within Occupations

The team at the IBM-MIT Watson AI Lab presented a new study at the AAAI Conference on AI, Ethics, and Society on “Learning Occupational Task-Shares Dynamics for the Future of Work” that shows how to predict changes in the economy’s demand for different tasks.

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IBM Research at SPIE 2020: New Architectures and Fabrications for AI Hardware

IBM Research had 21 papers accepted to SPIE, and throughout the four-day conference IBM researchers will present on topics ranging from EUV lithography, patterning materials, etch, selective deposition, and novel device integration.

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Deriving Complex Insights from Event-driven Continuous Time Bayesian Networks

Real-world decision making often involves situations and systems whose uncertain and inter-dependent variables interact in a complex and dynamic way. Additionally, many scenarios are influenced by external events that affect how system variables evolve. To address these complex scenarios for decision making, together with colleagues at the IBM T. J. Watson Research Center, we have developed a new dynamic, probabilistic graphical model called - Event-driven Continuous Time Bayesian Networks.

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IBM Research AI Hardware Center marks first birthday with explosive gains in AI computation

One year ago, we announced the creation of the IBM Research AI Hardware Center, a global research hub headquartered in Albany, New York. Building on work of the last few years, the launch of the Center initiated the next phase in a long-term effort to combine evolving, fundamental advances in AI with new computing accelerators, […]

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Progressing IBM Project Debater at AAAI-20 — and Beyond

At the thirty-fourth AAAI conference on Artificial Intelligence (AAAI-20), we will present two papers on recent advancements in Project Debater on two core tasks, both utilizing BERT.

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Mastering Language Is Key to More Natural Human–AI Interaction

IBM Research AI is leading the push to develop new tools that enable AI to process and understand natural language. Our goal: empower enterprises to deploy and scale sophisticated AI systems that leverage natural language processing (NLP) with greater accuracy and efficiency, while requiring less data and human supervision.

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IBM Showcases Key AI Research @ AAAI-20

IBM Research will present more than fifty technical papers at AAAI-20, as well a rich set of demos of our latest work, reflecting our focus on key areas of AI research including AutoAI, mastering language, planning, computational argumentation, the future of work and security.

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IBM Automated Planning Research @ AAAI 2020

Research from IBM presented at AAAI-20 explores key aspects of adopting automated planners, including scaling to very large problems, interfacing with end users, and providing guarantees on the quality of solution.

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