Charting a path to a more sustainable AI future
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14 results for Explainable AI
Teaching AI models to improve themselves
ResearchPeter HessIBM and RPI researchers demystify in-context learning in large language models
NewsPeter Hess- Topic
The latest AI safety method is a throwback to our maritime past
ResearchKim MartineauFind and fix IT glitches before they crash the system
NewsKim MartineauWhat is retrieval-augmented generation?
ExplainerKim MartineauDid an AI write that? If so, which one? Introducing the new field of AI forensics
ExplainerKim MartineauSaška Mojsilović wants to channel AI for good. She may also make you rethink sour cabbage
NewsKim MartineauDebugging foundation models for bias
ResearchKim MartineauNew AI research could help find the best treatment for bowel disease
ResearchAnna Paola Carrieri, Laura-Jayne Gardiner, and Graeme Macluskie3 minute readProject Debater argues for key point analysis of surveys, reviews, and social media
ReleaseNoam Slonim, Yoav Katz, Roy Bar-Haim, and Elad Venezian5 minute readTapping into the inner rhythm of living organisms with AI and ML
ResearchLaura-Jayne Gardiner and Anthony Hall8 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 at the intersection of human-computer interaction and AI
ResearchZahra AshktorabIntroducing AI Explainability 360
ReleaseAleksandra Mojsilovic
