Intelligent Bits: 12 May 2017
Medical ImageNet, NVIDIA GTC, corporate responsibility in tech, online pricing
Artificial Intelligence
The latest insights, ideas, and tools for building solutions that rely on machine intelligence.
Insights from a data-driven study of the IoT market
Aman Naimat discusses what he learned from building a knowledge graph of the entire business world.
Personalizing fashion with human-in-the-loop machine intelligence
How Stitch Fix systematizes collaboration between stylists and AI software.
Intelligent Bits: 05 May 2017
Caffe2, deep learning best practices, intelligent design and wizard hats
How the TensorFlow team handles open source support
Improving software with the help of a community takes patience and organization.
Intelligent Bits: 28 April 2017
Creative deep neural networks, AI black box, robot food delivery, and brute force productivity.
Deep learning: Modular in theory, inflexible in practice
Diogo Almeida examines the capabilities and challenges in deep learning.
Practicalities of employing deep learning at scale
Kenny Daniel on implementing neural networks in production.
Shrinking and accelerating deep neural networks
Song Han on compression techniques and inference engines to optimize deep learning in production.
Interpretability via attentional and memory-based interfaces, using TensorFlow
A closer look at the reasoning inside your deep networks.
Caption this, with TensorFlow
How to build and train an image caption generator using a TensorFlow notebook.
Introduction to TensorFlow
Learn to build, train, and run deep neural networks using TensorFlow.
How does Facebook recognize my face and the faces of friends and family?
Learn how Facebook and other trailblazers use AI technologies to recognize human features.
How does IBM Watson search TED Talks?
Learn how you can open up non-text content to search with deep learning.
How does Google’s driverless car work?
Learn how deep learning has accelerated the realization of driverless vehicles and what that means for the future.
Build a talking, face-recognizing doorbell for about $100
DIY with Amazon Echo and Raspberry PI: Recognize thousands of people at your door every month, for pennies.
Bots: What you need to know
Bots are made possible by recent advances in artificial intelligence, user interface, and communication.
Build a super fast deep learning machine for under $1,000
The adventures in deep learning and cheap hardware continue!
AI building blocks: The eggs, the chicken, and the bacon
Data, algorithms, and better business results are key to developing AI.
Making telecommunications infrastructure smarter
Turning physical resource management into a data and learning problem.
What AI needs is a dose of realism
Oren Etzioni talks about the current AI landscape, projects at the Allen Institute, and why we need AI to make sense of AI.
Genevieve Bell on bringing more people into the AI conversation
We need more philosophers, psychologists, poets, artists, politicians, anthropologists, social scientists, and critics of art in the conversation.
Defining the Chat in Chatbot
Cathy Pearl on how to think about conversations when designing for voice interactions.
Not another MNIST tutorial with TensorFlow
An informative, visual, and interactive MNIST tutorial.