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Generative AI could offer a faster way to test theories of how the universe works
NewsKim MartineauWigner’s friend with Qiskit: How observing an observer causes the quantum measurement problem
ExplainerMaria ViolarisMaximizing training throughput using PyTorch FSDP
Technical noteIBM and NASA build language models to make scientific knowledge more accessible
Technical noteBishwaranjan Bhattacharjee, Aashka Trivedi, Masayasu Muraoka, Bharath Dandala, Rong Zhang, and Yousef El-KurdiA faster, systematic way to train large language models for enterprise
ResearchKim MartineauQiskit 1.0 release summary
ReleaseQiskit TeamQiskit tools help researchers probe the noisy dynamics of graph-state stabilizers
ResearchHaggai Landa, Liran Shirizly, and Robert DavisInventing the devices that underpin how the world communicates
NewsMike MurphyAI is making extracting key information from reports easier than ever
Technical noteMichele Dolfi, Peter Staar, Cesar Berrospi Ramis, Lokesh Mishra, and Panos VagenasComputing with error-corrected quantum computers
ResearchGuanyu Zhu, Andrew Cross, Ben Brown, and Ryan MandelbaumIn search of AI algorithms that mimic the brain
Q & AKim MartineauA single-molecule magnetic switch
Technical noteShantanu MishraDARPA and IBM are ensuring that anyone can protect their AI systems from hackers
NewsMike MurphyThe future of AI research comes to Albany
NewsMike MurphyThe 2023 IBM Research annual letter
Deep DiveDarío GilA crystal ball made of AI transformers
ExplainerKim Martineau
