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MIDAS: A New Approach with Real-Time Streaming Anomaly Detection in Dynamic Graphs

While most of the Machine learning articles are focussed on self-driving cars, GAN, and Image recognition, there are some other important areas...

Stanza: Official Stanford NLP Python Library for Many Human Languages

Stanford University NLP researchers have built Stanza, a multi-human language tool kit. This is certainly worth a look for those working with...

This ‘TensorDash’ application lets you track and monitor deep learning model metrics

Now you can monitor your deep learning model using an application called 'TensorDash' remotely instead of sitting in front of your workstation...

Carla: Open-source simulator for autonomous driving research

While the possibility of autonomous vehicles driving our streets in the near future is getting closer, the research in developing technologies to...

Exclusive Talk with Vijay Krishnan, Founder & CTO of Turing

Asif: Tell us about your journey in AI/Data Science leading up to this point. Vijay: I have been working...

Top Artificial Intelligence Influencers To Follow in 2020

Yoshua Bengio: Yoshua Bengio OCFRSC (born 1964 in Paris, France) is a Canadian computer scientist, most noted for his work on artificial neural networks and deep learning. He was a co-recipient of...

This Python Package ‘Causal ML’ Provides a Suite of Uplift Modeling and Causal Inference...

'Causal ML' is a Python package that deals with uplift modeling, which estimates heterogeneous treatment effect (HTE) and causal inference methods with...

List of Global Artificial Intelligence / Machine Learning Conferences in 2020

Below is a list of upcoming Artificial Intelligence/ Machine Learning Conferences in 2020. CONFERENCE NAMECOUNTRYCONFERENCE DATESWEBSITESGlobal AI ConferenceUSAJanuary 21-23,...

Deepinsight : User-Friendly Deep Learning Tool to Decode Neural Activity in an Automated Way

DeepInsight is a deep learning-based decoding framework for discovering and characterizing the neural correlates of behavior and stimuli in unprocessed neural data....

Classifying the Name Nationality of a Person using LSTM and Pytorch

Recurrent Neural Networks(RNN) are a type of Neural Network where the output from the previous step is fed as input to the current step. In the case of Convolution Neural Networks (CNN), the output from the softmax layer in the context of image classification is entirely independent of the previous input image.
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