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Bringing massive AI models to any cloud
NewsMike MurphyThe future of foundation models requires innovations across the entire stack
ExplainerTalia GershonFive ways IBM is using synthetic data to improve AI models
ResearchKim MartineauImproving Watson NLP performance in IBM products through Intel optimizations
Technical noteStephanie Kuan and Waleed KhanFrom silicon to hybrid cloud, Nick Fuller has charged towards the future of computing
News3 minute readContinuing the momentum of AI for Code with Project Wisdom
NewsRuchir PuriMeet the IBM Artificial Intelligence Unit
ReleaseJeffrey Burns and Leland ChangGoal-oriented flow assist: supporting low code data flow automation with natural language
Technical noteKartik Talamadupula and Michelle BrachmanTraining a customer service bot to sound more human
ResearchKim MartineauIn-memory physical superposition meets few-shot continual learning
Technical noteGeethan Karunaratne, Abu Sebastian, and Abbas RahimiHow to foster deliberate innovation with open-source software
NewsPriya Nagpurkar and Andrea GreggoConverting several audio streams into one voice makes it easier for AI to learn
ResearchKim MartineauWhat is federated learning?
ExplainerKim MartineauIBM Research unveils two key advances for foundation models
NewsLinsong Chu, Fred Reiss, and Rong ZhangThe pandemic changed the way we understand speech
ResearchRachel OstrandEntering the age of AI-powered digital employees
ExplainerMerve Unuvar, Ayhan Sebin, Asaf Adi, Vatche Isahagian, and Yara Rizk
