Day: October 23, 2019

8 Explainable AI Frameworks Driving A New Paradigm For Transparency In AI
AI Ethics TensorFlow

8 Explainable AI Frameworks Driving A New Paradigm For Transparency In AI

At a recent talk about the basics mechanics of neural networks, the topic of explainable AI came up. Basically, no one can as of yet say for certain why a deep learning model makes the choices it does. There’s a lot of work being done in this space and here’s a great round up of […]

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Text classification with preprocessed text: Movie reviews
Natural Language Processing TensorFlow

Text classification with Preprocessed Text

Here’s a notebook that uses tf.keras to analyze the IMDB movie review dataset to train a sentiment analysis classifier. This notebook uses tf.keras, a high-level API to build and train models in TensorFlow. For a more advanced text classification tutorial using tf.keras, see the MLCC Text Classification Guide. Read more www.tensorflow.org

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Azure Big Data

Retail Location Analytics with Azure Maps

Learn how to use Azure Maps (aka.ms/MapsTechCommunity) to analyze a catchment area around a retail store. ShiSh Shridhar, Principal PM in the Azure IoT Team , who spent 15 years on the Microsoft Industry Retail team, will demo how to build a catchment analysis for a café in downtown Seattle. Learn how Azure Maps can […]

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Natural Language Processing

Vectoring Words

Computerphile asks “How do you represent a word in AI?” Rob Miles reveals how words can be formed from multi-dimensional vectors – with some unexpected results.

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Google Quantum Computing

Demonstrating Quantum Supremacy

Google has decided to fess up about their recent advancement in quantum supremacy. We’re marking a major milestone in quantum computing research that opens up new possibilities for this technology. Learn how the Google AI Quantum team demonstrated how a quantum computer can perform a task no classical computer can in an experiment called “quantum […]

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