This article discusses STT-MRAM's benefits and challenges for deep neural networks.
― 6 min read
Computer Science - Hardware Architecture
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Exploring the use of FPGAs in analyzing heart signals for improved diagnosis.
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SEER automates efficient hardware design from high-level software programs.
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A dataset for predicting tensor computation performance on specialized hardware.
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New robotic platforms are changing the way weeds are managed in farming.
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Learn how combining radar and video boosts security systems.
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Rubix offers effective solutions to combat Rowhammer attacks while maintaining system performance.
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Introducing START, a method to track Rowhammer threat effectively and efficiently.
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Optical systems could revolutionize computing speed but face significant challenges.
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A new method for improving clock signals in electronic systems.
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SPAIC transforms analog signals into spike signals for enhanced edge computing.
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Exploring security challenges in silicon photonic AI accelerators and detection methods.
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A look into overcoming memory challenges in modern computing.
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RRAM technology improves convolutional neural networks' speed and efficiency.
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Discover the role of compressed formats in enhancing AI performance.
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