Why a decades old architecture decision is impeding the power of AI computing
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In-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 RizkFrom unlabeled text to a working classifier in a few hours
NewsKim MartineauManipulating stock prices with an adversarial tweet
ResearchKim MartineauIBM Research’s open-source toolkit for Deep Search
NewsPeter Staar, Christoph Auer, Michele Dolfi, and Anthony AnnunziataPutting more knowledge at the fingertips of non-English speakers
ReleaseKim MartineauIBM is partnering with the Oxford Pandemic Sciences Institute
NewsAnthony Annunziata and Jason CrainThe groundbreaking AI paper at the foundations of multilingual natural language processing
ResearchMike MurphyResponse to accusations regarding TableFormer paper
NewsAhmed Nassar, Nikos Livathinos, Maxim Lysak, and Peter StaarAccelerating discovery for societal and economic impact
ExplainerJed Pitera, Mathias Steiner, Daniel P. Sanders, Young-Hye Na, Maxwell Giammona, Kristin Schmidt, and Tim ErdmannA new way to generate synthetic data for pretraining computer vision models
NewsKim Martineau
