How IBM Research helped prepare the IBM z17 for tomorrow’s workloads
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55 results for Explainers
Growing the global quantum ecosystem
ExplainerDaiju Nakano, Kouichi Semba (University of Tokyo), and Jerry ChowHow real researchers are using Qiskit circuit functions to accelerate their experiments
ExplainerSuhare Nur, Sanket Panda, Francisco Martin, SheshaShayee Raghunathan, and Robert DavisWhy a decades old architecture decision is impeding the power of AI computing
ExplainerPeter HessHow low-precision computing boosts efficiency — without hurting accuracy
ExplainerPeter HessAccelerating discoveries with new AI tools, powerful chips — and turkey
ExplainerMike Murphy, Peter Hess, and Kim MartineauDemonstrating a true realization of quantum-centric supercomputing
ExplainerRyan Mandelbaum and Iskandar SitdikovWhat a penny looks like through an electron microscope
ExplainerMike MurphyThe chips of tomorrow may well take inspiration from the architecture of our brains
ExplainerPeter HessAn air traffic controller for LLMs
ExplainerKim MartineauWhy we’re teaching LLMs to forget things
ExplainerKim MartineauBreaking down the AI transformer
ExplainerKim MartineauLarge language models revolutionized AI. LLM agents are what’s next
ExplainerKim MartineauCrypto-agility and quantum-safe readiness
ExplainerRay Harishankar, Michael Osborne, Jai S. Arun, John Buselli, and Jennifer JanechekQuantum working groups push for near-term use cases
ExplainerCharting a path to quantum-safe transformation through industry initiatives
ExplainerLory Thorpe, John Buselli, and Jennifer JanechekWhat is red teaming for generative AI?
ExplainerKim Martineau
