Modular quantum computing takes shape with l-couplers
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Ryan Mandelbaum and Neereja Sundaresan
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79 results for Trustworthy AI
IBM researchers check AI bias with counterfactual text
ResearchInkit Padhi, Nishtha Madaan, Naveen Panwar, and Diptikalyan Saha5 minute readAI goes anonymous during training to boost privacy protection
ReleaseAbigail Goldsteen4 minute readPreparing deep learning for the real world – on a wide scale
ResearchPin-Yu Chen3 minute readDualTKB: A Dual Learning Bridge between Text and Knowledge Base
ResearchPierre Dognin6 minute readAdversarial Robustness Toolbox: One Year Later with v1.4
ReleaseAbigail Goldsteen and Beat Buesser4 minute readImage captioning as an assistive technology
NewsYoussef Mroueh5 minute readIBM FactSheets Further Advances Trust in AI
ReleaseMichael Hind4 minute readIBM Differential Privacy Library: The single line of code that can protect your data
ReleaseNaoise Holohan2 minute readIBM at the intersection of human-computer interaction and AI
ResearchZahra AshktorabCharacterizing the evolution of tasks within occupations
ResearchMartin Fleming and Subhro Das4 minute readIBM joins Stanford Human-Centered AI Institute’s partner program
NewsJeff WelserIntroducing AI Explainability 360
ReleaseAleksandra MojsilovicChanging the way the world works: IBM Research’s “5 in 5”
NewsArvind Krishna4 minute readIBM Research releases ‘Diversity in Faces’ dataset to advance study of fairness in facial recognition systems
NewsJohn R SmithIntroducing AI Fairness 360
ReleaseKush VarshneyFactsheets for AI Services
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