Quantum computers take a step into real materials science
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Peter Hess
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75 results for Trustworthy AI
Project Debater argues for key point analysis of surveys, reviews, and social media
ReleaseNoam Slonim, Yoav Katz, Roy Bar-Haim, and Elad Venezian5 minute readEvaluating common sense in AI
Deep DiveAbhishek Bhandwaldar and Tianmin Shu15 minute readMachine learning: From “best guess” to best data-based decisions
ReleaseYishai Shimoni and Ehud Karavani7 minute readTapping into the inner rhythm of living organisms with AI and ML
ResearchLaura-Jayne Gardiner and Anthony Hall8 minute readResearchers develop defenses against deep learning hack attacks
ReleaseAmbrish Rawat, Killian Levacher, and Mathieu Sinn7 minute readAI, you have a lot of explaining to do
ReleaseDinesh Garg, Parag Singla, Dinesh Khandelwal, Shourya Aggarwal, Divyanshu Mandowara, and Vishwajeet Agrawal5 minute readIBM’s Uncertainty Quantification 360 toolkit boosts trust in AI
ReleasePrasanna Sattigeri and Vera Liao7 minute readManaging the risk in AI: Spotting the “unknown unknowns”
ResearchOrna Raz, Sam Ackerman, and Marcel Zalmanovici5 minute readAI boosts the discovery of metamaterials vital for next-gen gadgets
ResearchYoussef Mroueh, Karthikeyan Shanmugam, and Payel Das10 minute readNew research helps make AI fairer in decision-making
ResearchMikhail Yurochkin and Yuekai Sun5 minute readIBM researchers investigate ways to help reduce bias in healthcare AI
ResearchYoonyoung Park6 minute readIBM AI finds new peptides – paving the way to better drug design
ResearchAleksandra Mojsilovic and Payel Das4 minute readIBM 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 read
