Stanford AIMI Releases Its Free Open-Source Repository Of Medical Datasets For...
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...
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
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
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
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...
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
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
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...
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
Whenever any data scientist thinks of developing a pipeline, they try bringing automated machine learning into the picture to make the task easier. However,...
