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Researchers build a deep neural network that can detect and classify...

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A group of researchers from Stanford University and University of California with iRhythm Technologies Inc. and Veterans Affairs Palo Alto Health Care System have...

The US Commerce Department plans to put export controls for certain...

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Last year, the US Commerce Department issued a notice named advance notice of proposed rulemaking (ANPRM) that lists some emerging technologies on which export...

CycleGAN learns to cheat by hiding information in generated images

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At NeurIPS 2017, a group of Stanford and Google researchers presented a very intriguing study on how a neural network, CycleGAN learns to cheat....

Researchers introduce a CNN-based system for identifying radioresistant cancer-causing cells

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Earlier this year, a group of researchers from Osaka University introduced an AI system based on convolutional neural network (CNN) for automatically identifying radioresistant...

Facebook introduces a fully convolutional speech recognition approach and open sources...

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Last week, Facebook AI Research (FAIR) speech team introduced the first fully convolutional speech recognition approach. Additionally, they have also open-sourced flashlight, a C++...

Our healthcare data is not private anymore: Study reveals that machine...

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Last week, in a study published on JAMA Network Open, researchers revealed that machine learning algorithms trained with physical activity data collected from health...

Google shares initiatives towards enforcing its AI principles; employs a formal...

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Earlier this year, Sundar Pichai shared seven AI principles that Google aims to follow in its work. Google also shared some best practices for...

Stanford researchers introduce DeepSolar, a deep learning framework that mapped every...

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Yesterday, researchers from Stanford University introduced DeepSolar, a deep learning framework that analyzes satellite images to identify the GPS location and size of solar...

NeurIPS 2018: How machine learning experts can work with policymakers to...

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At the 32nd annual  NeurIPS conference held earlier this month, Edward William Felten, a professor of computer science and public affairs at Princeton University...

Google researchers introduce JAX: A TensorFlow-like framework for generating high-performance code...

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Google researchers have build a tool called JAX, a domain-specific tracing JIT compiler, which generates high-performance accelerator code from pure Python and Numpy machine...