An ancient manuscript.
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Deciphering Ancient Texts with AI

Using machine learning and visual psychophysics, researchers are developing AI models capable of transcribing ancient manuscripts. 4 MIN READ
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Fighting Disease-Carrying Mosquitoes with Neural Networks

Developed by researchers in Spain uses deep learning to recognize tiger mosquitoes with near perfect accuracy from images taken by citizen scientists. 3 MIN READ
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Powering AutoML-enabled AI Model Training with Clara Train

Deep neural networks (DNNs) have been successfully applied to volume segmentation and other medical imaging tasks. They are capable of achieving state-of-the… 8 MIN READ
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Tensor Ops Made Easier in cuDNN

Neural network models have quickly taken advantage of NVIDIA Tensor Cores for deep learning since their introduction in the Tesla V100 GPU last year. 6 MIN READ
Figure 1: Value iteration constructs the value function over all states over time. Here each square is a state: S is the start state, G the goal state, T squares are traps, and black squares cannot be entered. In value iteration we initialize the rewards (traps and goal state) and then these reward values spread over time until an equilibrium is reached. Depending on the penalty value on traps and the reward value for the goal different solution patterns might emerge; the last two grids show such solution states.
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Deep Learning in a Nutshell: Reinforcement Learning

This post is Part 4 of the Deep Learning in a Nutshell series, in which I’ll dive into reinforcement learning, a type of machine learning in which agents take… 28 MIN READ
TensorRT
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Production Deep Learning with NVIDIA GPU Inference Engine

NVIDIA GPU Inference Engine (GIE) is a high-performance deep learning inference solution for production environments that maximizes performance and power efficiency for deploying deep neural networks. 13 MIN READ