Published Papers
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A Programmable Heterogeneous Microprocessor Based on Bit-Scalable In-Memory Computing
In-memory computing (IMC) addresses the cost of accessing data from memory in a manner that introduces a tradeoff between energy/throughput and computation signal-to-noise ratio (SNR). However, low SNR posed a primary restriction to integrating IMC in larger, heterogeneous architectures required for practical workloads due to the challenges with creating robust abstractions necessary for the hardware…
News
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EnCharge AI Appoints Industry Leader Ram Rangarajan as Senior Vice President, Product and Strategy
Princeton University — A startup based on Princeton research is rethinking the computer chip with a design that increases performance, efficiency and capability to match the computational needs of technologies that use AI. Using a technique called in-memory computing…
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EnCharge AI reimagines computing to meet needs of cutting-edge AI
Princeton University — A startup based on Princeton research is rethinking the computer chip with a design that increases performance, efficiency and capability to match the computational needs of technologies that use AI. Using a technique called in-memory computing…
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EnCharge AI launches with $21.7M Series A to enable Edge AI at scale
Following years of research and development at Princeton University, EnCharge AI emerges from stealth led by a world-class, multi-disciplinary team from Meta, NVIDIA, Qualcomm, and IBM.