Engineering the future of AI for businesses
Ruchir Puri addresses the opportunities and challenges of AI for business and focuses on what's needed to scale AI across the breadth of enterprises.
Artificial Intelligence
The latest insights, ideas, and tools for building solutions that rely on machine intelligence.
Self-driving trucks enter the fast lane using deep learning
A deep dive into startup TuSimple’s use of Apache MXNet.
From Infinity to 8: Translating AI into real numbers
Turning abstract AI into real business solutions.
Using TensorFlow to generate images with PixelRNNs
Generate new images and fix old ones using neural networks.
How do I use IBM Watson to extract entity information from news articles?
Learn how to use IBM Watson's APIs and natural language understanding to extract information about people and companies from news articles.
How can I use IBM Watson to analyze the tone of social media posts?
Learn how to use IBM Watson's APIs and natural language understanding to analyze the tone of social media posts like tweets.
Contouring learning rate to optimize neural nets
Tips and tricks for treating learning rate as a hyperparameter, and using visualizations to see what’s really going on.
Deep learning revolutionizes conversational AI
Recent AI breakthroughs transform speech recognition.
From prototype to product with hybrid neural networks
Apache MXNet and the middle path between declarative and imperative programming.
Classifying traffic signs with Apache MXNet: An introduction to computer vision with neural networks
Step-by-step instructions to implement a convolutional neural net, using a Jupyter Notebook.
Textual entailment with TensorFlow
Using neural networks to explore natural language.
Perform sentiment analysis with LSTMs, using TensorFlow
Explore a highly effective deep learning approach to sentiment analysis using TensorFlow and LSTM networks.
Evolve AI
Naveen Rao explains how Intel Nervana is evolving the AI stack from silicon to the cloud.
Machine learning on Google Cloud Platform
Amy Unruh demonstrates Google Cloud machine learning APIs and highlights OSS TensorFlow models.
The future of AI is now
Damion Heredia explores augmented intelligence, IBM's alternative definition of AI.
AI now. For every industry.
Jim McHugh explains why a new computing paradigm and deep learning software stack will be required to power, predict, and act on data.
Intelligent Bits: 16 June 2017
AI fighting extremism, intuitive physics, and schema networks.
Intelligent Bits: 9 June 2017
Drawing with AI, Apple AI API, United Nations and AI for good, and smart oil and gas.
Generative Adversarial Networks for beginners
Build a neural network that learns to generate handwritten digits.
Making AI transparent
The O'Reilly Podcast: Andy Hickl on sources of bias in artificial intelligence—and how to address them.
Intelligent Bits: 26 May 2017
Sukiyaki in French style, brick-and-mortar conversion tracking, route-based pricing, and technological productivity.
Is finance ready for AI?
Aida Mehonic explores the role artificial intelligent might play in the financial world.
Intelligent Bits: 19 May 2017
AutoML, AI photo editing, AI product studio, and Apple and dark data.
How AI is used to infer human emotion
Rana el Kaliouby discusses the techniques, possibilities, and challenges around emotion AI today.