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Quantum Circuits, Deep Learning, and the Holographic Blueprint: How Physics Is Decoding the Heart of Black Holes

“The three-dimensional world of ordinary experience—the universe filled with galaxies, stars, planets, houses, boulders, and people—is a hologram, an image of reality coded on a distant ...
Semiconductor Engineering

Analog On-Chip Learning Circuits In Mixed-Signal Neuromorphic SNNs

A technical paper titled “Neuromorphic analog circuits for robust on-chip always-on learning in spiking neural networks” was published by researchers at Institute of Neuroinformatics, University of ...
Semiconductor Engineering

Analog Circuits Enabling Learning in Mixed-Signal Neuromorphic SNNs, With Tristate Stability and Weight Discretization Circuits

A technical paper titled “Neuromorphic analog circuits for robust on-chip always-on learning in spiking neural networks” was published by researchers at University of Zurich and ETH Zurich.
InfoQ

PrefixRL: Nvidia's Deep-Reinforcement-Learning Approach to Design Better Circuits

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...