Artificial Intelligence

Image upscaling supercharged

posted Dec 1, 2017, 7:13 PM by Chris G   [ updated Dec 1, 2017, 7:13 PM ]

Let's Enhance. A State of the art neural networks to help you upscale and enhance your images.

Microsoft: Productivity Future Vision

posted Nov 10, 2017, 9:50 AM by Chris G   [ updated Nov 10, 2017, 9:50 AM ]

Learn more at: How could emerging technologies transform the way we get things done 5-10 years in the future?

YouTube Video

YOLO (You Only Look Once) object detection in images

posted Oct 21, 2017, 7:48 AM by Chris G   [ updated Oct 21, 2017, 7:49 AM ]

Ten years ago, researchers thought that getting a computer to tell the difference between a cat and a dog would be almost impossible. Today, computer vision systems do it with greater than 99 percent accuracy. How? Joseph Redmon works on the YOLO (You Only Look Once) system, an open-source method of object detection that can identify objects in images and video -- from zebras to stop signs -- with lightning-quick speed. In a remarkable live demo, Redmon shows off this important step forward for applications like self-driving cars, robotics, and even cancer detection.

IBM Watson Conversation API

posted Oct 21, 2017, 7:34 AM by Chris G   [ updated Oct 21, 2017, 7:40 AM ]

Quickly build and deploy chatbots an
d virtual agents across a variety of channels, including mobile devices, messaging platforms, and even robots.

Dialogflow Conversation API

posted Oct 21, 2017, 7:27 AM by Chris G   [ updated Oct 21, 2017, 7:27 AM ]

Build natural and rich conversational experiences

Give users new ways to interact with your product by building engaging voice and text-based conversational interfaces powered by AI. Connect with users on the Google Assistant, Amazon Alexa, Facebook Messenger, and other popular platforms and devices.

DARPA Perspective on AI

posted Mar 22, 2017, 2:26 AM by Chris G   [ updated Oct 21, 2017, 7:50 AM ]

Google TensorFlow

posted Feb 19, 2016, 12:56 PM by Chris G   [ updated Oct 21, 2017, 7:51 AM ]

Google releases Deep Learning framework TensorFlow as open-source

Machine learning powers many Google product features, from speech recognition in the Google app to Smart Reply in Inbox to search in Google Photos. While decades of experience have enabled the software industry to establish best practices for building and supporting products, doing so for services based upon machine learning introduces new and interesting challenges.

Today, we announce the release of TensorFlow Serving, designed to address some of these challenges. TensorFlow Serving is a high performance, open source serving system for machine learning models, designed for production environments and optimized for TensorFlow.

TensorFlow Serving is ideal for running multiple models, at large scale, that change over time based on real-world data

Teach Yourself Deep Learning with TensorFlow and Udacity

The course consists of four lectures which provide a tour of the main building blocks that are used to solve problems ranging from image recognition to text analysis. The first lecture focuses on the basics that will be familiar to those already versed in machine learning: setting up your data and experimental protocol, and training simple classification models. The second lecture builds on these fundamentals to explore how these simple models can be made deeper, and more powerful, and explores all the scalability problems that come with that, in particular regularization and hyperparameter tuning. The third lecture is all about convolutional networks and image recognition. The fourth and final lecture explore models for text and sequences in general, with embeddings and recurrent neural networks. By the end of the course, you will have implemented and trained this variety of models on your own machine and will be ready to transfer that knowledge to solve your own problems!


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