I work for an industry that is researching and applying a wide variety of AI techniques in smart technology that focuses on improving people’s health and enabling better outcomes across the health continuum. For this we keep a close eye on the latest developments in AI-software and hardware, but also on other big industries to see the directions they are heading into, especially within healthcare.

One great source of information is the Artificial Intelligence Newsletter of O’Reilly. “Receive weekly AI news, insights from industry insiders, and exclusive deals and offers.” The latter can be a little annoying sometimes (twice a year they organize an AI conference and you get appropriately spammed for that), but the rest of the information is very interesting. The newsletter consists on average of 10 headings with click-through articles, see as example the latest newsletter here with an excerpt below. Interested to receive future editions? You can subscribe here.

11 September 2017

  1. From infinity to eight

Janna Eggers explains how to turn abstract AI into real business solutions.

  1. How to use Watson to analyze the tone of social media posts

This video explains how to use IBM Watson’s APIs and natural language understanding to analyze the tone of social media posts like tweets.

  1. An inside look at Alphabet’s most ambitious AI project

The Atlantic takes an in-depth look at how Waymo is training self-driving cars.

  1. The gap between ambition and execution

“Three-quarters of executives believe AI will enable their companies to move into new businesses. Almost 85% believe AI will allow their companies to obtain or sustain a competitive advantage. But only about one in five companies has incorporated AI in some offerings or processes.” MIT Sloan presents findings from the 2017 Artificial Intelligence Global Executive Study and Research Project.

  1. Moving from academic ml to industrial AI

“If you want to make yourself competitive and break into AI, not only do you have to understand the fundamentals of ML and statistics, but you must push yourself to restructure your ML workflow and leverage best software engineering practices.”

  1. Generate images with PixelRNNs and TensorFlow

How to generate new images and fix old ones using neural networks.

  1. The new rules of build versus buy in an AI-first world

Are you debating a build-in-house route (using open-source toolkits like Kaffe, Theano, and Tensorflow), the artificial intelligence as-a-service (AIaaS) approach, or something in between? Here’s what to consider.

  1. Can AI feed the world?

Agriculture is being digitized and farm data is growing. What can AI do to help feed a growing population with shrinking resources and cultivated acreage?

  1. 4 deep learning trends

Here are four trends in deep learning from the Association for Computational Linguistics.

  1. AI on the Daily Show

Reid Hoff man talks to Trevor Noah about AI.