John R. Smith, IBM Fellow, IBM Research AI and Future of Computing, IBM Research

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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AI Year in Review: Highlights of Papers from IBM Research in 2019

IBM’s leadership in AI continued in earnest in 2019, which was notable for a growing focus on critical topics such as making trustworthy AI work in practice, creating new AI engineering paradigms to scale AI for a broader use, and continuing to advance core AI capabilities.

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IBM Research AI Moves Machine Learning Forward at ICML 2019

At the 36th International Conference on Machine Learning (ICML 2019), June 10–15 in Long Beach, CA, IBM Research AI will present recent technical advances in machine learning for AI and data science. We’ve led the exploration and development of machine learning technologies for decades, and now we’re progressing the AI field through our portfolio of […]

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IBM Research AI Advancing, Trusting, and Scaling Learning at ICLR

IBM researchers present recent work on advancing, trusting, and scaling learning at the annual International Conference on Learning Representations (ICLR).

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IBM Research AI at AAAI 2019

IBM Research AI will present dozens of technical papers and demos at the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI) in Honolulu, Hawaii.

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IBM Research Releases ‘Diversity in Faces’ Dataset to Advance Study of Fairness in Facial Recognition Systems

Originally published January 29, 2019; updated February 15, 2019, to reflect important contributions from Joy Buolamwini and Timnit Gebru in Gender Shades (2018) cited in the Diversity in Faces arXiv paper.

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