Posts Tagged ‘Machine Learning’

Improving Facial Recognition with Super-Fine Attributes and TensorFlow

November 19, 2018
Super-fine attributes (or multiple visual cues as age, height, etc.) seen in an image can be used to classify and create labels when hard biometrics aren't available.

How NASA Uses Artificial Intelligence to Detect Exoplanets

October 10, 2018
There can be 40 billion stars potentially hosting human-like life. Learn how NASA uses transit techniques and machine learning to detect biohints on such stars.

TensorFlow.js: Deploying and Training Machine Learning Models Right in a Browser

October 9, 2018
With this open-source library, users can build, train, test, and run machine learning models entirely in a web browser or under Node.js.

Zurich Insurance Group Incorporates RPA to Achieve $1B of Savings

September 17, 2018
With robotics process automation, Switzerland's largest insurer has already digitized 48 app flows, while reducing some of its operational costs by 51%.

DataOps: The Challenges of Operating a Machine Learning Model

August 24, 2018
This blog post highlights the challenges faced by data scientists at each step of the deep learning process, as well as overviews tools to resolve them.

Multimodal Sentiment Analysis with TensorFlow

August 22, 2018
A multimodal sentiment analysis poses an alternative to a conventional one, capable of processing text, visual, and audio data in a single workflow.

Artificial Intelligence in Enterprise: Basics, NLP, and Chatbots

August 16, 2018
A recent meetup covered the evolution of AI, what is being done now, as well as pitfalls and success stories of using natural language processing for chatbots.

KLM Handles 2x More Customer Requests with Artificial Intelligence

July 24, 2018
The oldest airline operating today transforms with AI by automating its customer interactions, language interpretation, and ground operations.

What It Takes to Build and Train Neural Networks for Autonomous Vehicles

June 22, 2018
This blog post explores how much data and what computational powers are needed to reach a sufficient accuracy of a machine learning model.

Three Approaches to Testing and Validating TensorFlow Code

June 14, 2018
Read about some assertion methods that may help to validate data shapes, graph structures, and numerical calculations of the TensorFlow code.
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