An IBM-led team is exploring how AI can prepare the electrical grid for the low-carbon era
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51 results for Explainers
Accelerating 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 MartineauBest practices for transitioning to Qiskit SDK v1.0
ExplainerLuciano Bello, Kaelyn Ferris, and Abby MitchellWigner’s friend with Qiskit: How observing an observer causes the quantum measurement problem
ExplainerMaria ViolarisA crystal ball made of AI transformers
ExplainerKim MartineauThe era of quantum utility must also be the era of responsible quantum computing
ExplainerMira Wolf-Bauwens and Ryan Mandelbaum
