Facebook AI Releases An Image Similarity Data Set And Announces The Launch Of An...
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...
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...
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...
An MIT And IBM Research Group Has Proposed A Cross-Modal Auditory Localization Framework To...
Object localization means locating an instance of a particular moving object in a scene. This is done by using visual data as...
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...
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...
Facebook AI Open-Sources Graph Transformer Networks (GTN) For Automatic Differentiation With Graphs
Graph Transformer Networks (GTN) is an open-source framework with weighted finite-state transducers (WFSTs), a powerful and expressive type of graph. GTN, just...
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...
tsBNgen, a Python Library to Generate Synthetic Data From an Arbitrary Bayesian Network.
When we think of machine learning, the first step is to acquire and train a large dataset. However, many times the data...
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