Ultra Low Energy Computer Memory for AI Learning in Medical and Other Applications

The CEA-Leti-based team’s uses machine learning on RRAM to get 100,000 times less energy usage. They use randomness instead of trying to prevent it. This allows in-situ learning to be realized in a highly efficient fashion through the application of nanosecond voltage pulses to nanoscale memory devices. Compared to a CMOS implementation of its algorithm, …

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Perspective on Cracking Problems With HUGE Numbers of Possibilities

Deep Mind has been able to make significant progress toward solving the protein folding problem. Protein folding is not solved yet. Here I will describe : * the complexity the protein folding problem. 10^300 folding possibilities for the the average protein based upon certain assumptions * I will compare the other large problems to protein …

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Eight Nvidia A100 Next Generation Tensor Chips for 5 Petaflops at $200,000

The Nvidia A100 chip was presented at the Hot Chips conference. Sander Olson provided Nextbigfuture with the presentation. The Nvidia A100 is a third-generation Tensor Core chip. It is faster and more efficient than competing chips like the prior Nvidia chip (V100), the Google Tensor processing unut (TPU) version 3, and Huawei Ascend. The Nvidia …

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Neural Nets to Simulate Molecular Motion

Artificial neural nets can be trained to encode quantum mechanical laws to describe the motions of molecules, supercharging simulations potentially across a broad range of fields. New deep learning models predict the interactions between atoms in organic molecules. These models will help computational biologists and drug development researchers understand and treat disease. Quantum mechanical (QM) …

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Qualcomm Aims for Quantum AI Chips

Qualcomm said it plans to begin testing its new Cloud AI 100 chip with partners such as Microsoft Corp later this year, with mass production likely to begin in 2020. Qualcomm’s new chip is designed for what artificial intelligence researchers call “inference” – the process of using an AI algorithm that has been “trained” with …

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