In-Memory Computing
Gideon Intrater, CTO at Adesto Technologies, talks with Semiconductor Engineering about why in-memory computing is now being taken seriously again, years after it was first proposed as a possible option. What's changed is an explosion in data, and a recognition that it's too time- and energy-intensive to send all of that data back and forth between memories and processors on the same chip, let alone to the cloud and back. One new approach includes analog storage, which is still in research.
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Cracking The Memory Wall
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Future Computers Will Be Radically Different (Analog Computing)
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How To Use Claude Cowork + n8n Better Than 99% of People
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What is In-Memory Computing?
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Recent advances of in-memory computing: materials, devices and architectures
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CICC ES4-3 - "Introduction to Compute-in-Memory" - Dr. Dave Fick and Dr. Laura Fick
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What's Changing In DRAM
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Comp. Arch. - Guest Lec.: In-Memory Computing: Memory Devices & Applications (ETH Zürich, Fall 2020)
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What's Changing In DRAM
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Semiconductors explained in 16 mins | Chris Miller
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tinyML Talks: Processing-In-Memory for Efficient AI Inference at the Edge
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AI’s Hardware Problem
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How Huawei Just Built an Impossible Chip
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Stanford Seminar - Computational memory: A stepping-stone to non-von Neumann computing?
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HBM3 In The Data Center
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Agentic AI in Manufacturing: From Copilots to Autonomous Systems
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ISSCC2020: Plenary - Future Scaling: Where Systems and Technology Meet
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Why I Left Quantum Computing Research
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Memristor-based Deep Spiking Neural Network with a Computing-In-Memory Architecture
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