Charting a path to a more sustainable AI future
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How IBM Research built a lab for the future of computing
Deep DiveMike MurphyImproving Hugging Face training efficiency through packing with flash attention
Technical noteRhui Dih Lee, Arthur Zucker, Achintya Kundu, Laura Wynter, Raghu Ganti, and Mayank MishraEnhancing enterprise AI with the IBM Spyre Accelerator
NewsMike MurphyBreaking down the AI transformer
ExplainerKim MartineauRelease news: Qiskit SDK v1.2 is here!
NewsQiskit TeamIntroducing KVP10k: A comprehensive dataset for key-value pair extraction in business documents
Technical noteTal Drory, Udi Barzelay, and Oshri NaparstekBringing quantum-safe security to IBM Quantum Platform, and the world
NewsChristopher Codella, Michael Maximilien, Paula Austel, Paul Schweigert, Mariam John, Navaneeth Rameshan, Martin Schmatz, Joachim Schäfer, and Robert DavisTeaching AI models to improve themselves
ResearchPeter HessDetecting health and science misinformation with AI
ResearchPeter HessNIST’s post-quantum cryptography standards are here
NewsMichael Osborne, Katia Moskvitch, and Jennifer JanechekIBM Granite led open-source LLMs on API calling
NewsKim MartineauIBM and RPI researchers demystify in-context learning in large language models
NewsPeter HessIBM Quantum Developer Conference 2024: Apply today
NewsDaniella Garcia Almeida and Robert DavisWhat’s an LLM context window and why is it getting larger?
NewsKim MartineauProtecting user data with fully homomorphic encryption and confidential computing
Technical noteOmri Soceanu and Zhongshu GuMeet AI-Hilbert, a new algorithm for transforming scientific discovery
NewsPeter Hess
