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A new way to generate synthetic data for pretraining computer vision models
NewsKim MartineauIBM’s CodeFlare significantly cuts the time to automate transfer learning tasks for foundation models
ResearchBishwaranjan Bhattacharjee, Raghu Ganti, Carlos Costa, Mudhakar Srivatsa, and Nick Fuller4 minute readLearning from imaging data to model brain activity
Deep DiveGuillermo Cecchi and James Kozloski14 minute readCrowdsourcing to trace cell lineages
ResearchPablo Meyer6 minute readTapping into the inner rhythm of living organisms with AI and ML
ResearchLaura-Jayne Gardiner and Anthony Hall8 minute readIBM welcomes CERN as a new hub in the IBM Quantum Network
ResearchIvano Tavernelli and Panagiotis Barkoutsos7 minute readQuantum kernels can solve machine learning problems that are hard for all classical methods
ResearchYunchao Liu, Srinivasan Arunachalam, and Kristan Temme5 minute readAn efficient method to learn quantum many-body systems
ResearchSrinivasan Arunachalam and Ryan Mandelbaum6 minute readThe Qiskit Global Summer School is returning with a focus on Quantum Machine Learning
ReleaseAbe Asfaw, Amira Abbas, and Josie Kies2 minute readSpeech-to-text AI could help doctors prescribe placebo to ease chronic pain
ResearchSara Berger6 minute readResearchers can speed up their AI model training with Snap ML
ReleaseWill Roberts3 minute readIBM’s AI goes multilingual — with single language training
ResearchMihaela Bornea, Lin Pan, Sara Rosenthal, Radu Florian, and Avirup SilAI 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 readAdversarial Robustness Toolbox: One Year Later with v1.4
ReleaseAbigail Goldsteen and Beat Buesser4 minute readAI for AI set to make it easy to create machine learning algorithms
ResearchKatia Moskvitch8 minute read
