Charting a path to a more sustainable AI future
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33 results for Machine Learning
In search of AI algorithms that mimic the brain
Q & AKim MartineauHow open source paved the way for computing from anywhere
Q & AKim Martineau- Topic
AI transformers shed light on the brain’s mysterious astrocytes
ResearchKim MartineauWhat is prompt-tuning?
NewsKim MartineauSaška Mojsilović wants to channel AI for good. She may also make you rethink sour cabbage
NewsKim MartineauWhat is synthetic data?
ExplainerKim Martineau and Rogerio FerisMigrating antiquated enterprise software to the cloud with the help of AI
ResearchMaja Vukovic, Saurabh Sinha, Rahul Krishna, and Raju PavuluriHow IBM is helping a major retailer stay ahead of the holiday crunch
Case studyKatia MoskvitchIBM’s new open-source toolkit for simulation
ReleaseEdward Pyzer-Knapp and John R SmithFive ways IBM is using synthetic data to improve AI models
ResearchKim MartineauTraining a customer service bot to sound more human
ResearchKim MartineauWhat is federated learning?
ExplainerKim MartineauIBM Research unveils two key advances for foundation models
NewsLinsong Chu, Fred Reiss, and Rong ZhangFrom unlabeled text to a working classifier in a few hours
NewsKim Martineau
