Making AI-driven chip design affordable with open agent factories and distributed inference at scale
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74 results for AI Hardware
Supercharging IBM’s cloud-native AI supercomputer
NewsTalia Gershon, Bengi Karacali-Akyamac, Seetharami Seelam, Drew Thorstensen, and Rohit BadlaneyFive takeaways from this year’s IBM AI Hardware Forum
NewsMike MurphyA new chip architecture points to faster, more energy-efficient AI
NewsMike MurphyIBM Research’s newest prototype chips use drastically less power to solve AI tasks
NewsMike MurphyIBM Research's latest analog AI chip for deep learning inference
NewsAbu Sebastian, Manuel Le Gallo-Bourdeau, and Vijay NarayananDisentangling visual attributes with neuro-vector-symbolic architectures, in-memory computing, and device noise
Technical noteAbu Sebastian, Abbas Rahimi, and Geethan KarunaratneHow the future of computing might look like nothing before
NewsLeonid Leiva AriosaThe future of analog AI hardware
ResearchMike MurphyThe future of computer chips is being built in Albany
Deep DiveMike MurphyMeet the IBM Artificial Intelligence Unit
ReleaseJeffrey Burns and Leland ChangThe IBM Research innovations powering IBM z16
NewsDonna Dillenberger5 minute readOpen-sourcing analog AI simulation
ResearchKaoutar El Maghraoui, Malte Rasch, and Vijay Narayanan5 minute readIBM scientists give artificial neural networks a new look for neuromorphic computing
ResearchSyed Ghazi Sarwat5 minute readThe hardware behind analog AI
ExplainerManuel Le Gallo-BourdeauIBM’s newest chip is more than meets the AI
NewsKailash Gopalakrishnan7 minute readRedefining AI accelerators: A new chip packaging tech & a first in analog compute
NewsJeffrey Burns and John Rozen8 minute read
