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Stanford AIMI Releases Its Free Open-Source Repository Of Medical Datasets For...

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Stanford is looking to democratize research on artificial intelligence and medicine by releasing the world's largest free repository of AI-ready annotated medical imaging datasets....

Facebook AI Releases An Image Similarity Data Set And Announces The...

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Recently, Facebook released the Image Similarity data set and announced an associated competition hosted by DrivenData with a whopping $200,000 prize pool. The competition began on...

Top Artificial Intelligence Books to Read in 2021

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Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig: A Modern Approach, 3e offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. Number one...

Top IoT Books To Read in 2021

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The Second Machine Age: Work, Progress and Prosperity in a Time of Brilliant Technologies by Erik Brynjolfsson and Andrew McAfee In recent years, Google’s autonomous cars have logged thousands...

Optimizing Hyperparameters Using The Keras Tuner Framework

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Hyperparameter optimization is an integral part of deep learning as a machine learning project is crucially dependent on the choice of good hyperparameters. Neural...

An MIT And IBM Research Group Has Proposed A Cross-Modal Auditory...

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Object localization means locating an instance of a particular moving object in a scene. This is done by using visual data as the input...

DeepMind Research Introduces Algorithms for Causal Reasoning in Probability Trees

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For cutting-edge AI researchers looking for clean semantics models to represent the context-specific causal dependencies essential for causal induction, this DeepMind's algorithm encourages you to look at...

LiteDepthwiseNet: A Lightweight Neural Network for Hyperspectral Image Classification

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What are Hyperspectral images? Hyperspectral images (HSIs) are a kind of optical remote sensing image with a high spectral resolution. Hyperspectral images (HSIs) have attracted...

Facebook AI Open-Sources Graph Transformer Networks (GTN) For Automatic Differentiation With...

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Graph Transformer Networks (GTN) is an open-source framework with weighted finite-state transducers (WFSTs), a powerful and expressive type of graph. GTN, just like PyTorch,...

LALE: A Python Library Simplifying Automated Machine Learning

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Whenever any data scientist thinks of developing a pipeline, they try bringing automated machine learning into the picture to make the task easier. However,...
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