Category Archives: AI
3 Takes on Debugging Machine Learning
S. Zayd Enam: The difficulty is that machine learning is a fundamentally hard debugging problem. Debugging for machine learning happens in two cases: 1) your algorithm doesn’t work or 2) your algorithm doesn’t work well enough. What is unique about … Continue reading
Posted in AI, Machine Learning
Leave a comment
Current Capabilities of Artificial Intelligence (AI)
Andrew Ng: Surprisingly, despite AI’s breadth of impact, the types of it being deployed are still extremely limited. Almost all of AI’s recent progress is through one type, in which some input data (A) is used to quickly generate some simple response (B)… … Continue reading
Machine Learning and AI Market Landscape, 2016
Shivon Zilis and James Cham, O’Reilly: For the first time, a “one stop shop” of the machine intelligence stack is coming into view—even if it’s a year or two off from being neatly formalized. The maturing of that stack might explain why … Continue reading
Maana Deploys AI to Optimize Enterprise Knowledge at Maersk
Does your company suffer from corporate amnesia? Palo Alto, California-based startup Maana has developed a cure for what ails organizations everywhere: Knowledge of how to perform a certain task or make a specific decision walks out the door with employees … Continue reading
Visually Linking AI, Machine Learning, Deep Learning, Big Data and Data Science
Source: Battle of the Data Science Venn Diagrams HT: KDnuggets What’s the Difference Between Artificial Intelligence, Machine Learning, and Deep Learning? Over the past few years AI has exploded, and especially since 2015. Much of that has to do with the … Continue reading
Artificial Intelligence: Enterprise Adoption by Industry
AI Trends: In terms of plans to deploy AI commercially in the near future (before the end of 2018), healthcare is clearly the vertical sector in which the largest percentage of companies worldwide will take action, followed by the consumer … Continue reading
Who is Buying All the AI Startups? Google, Intel, Apple, Twitter and Salesforce
CB Insights: Nearly 140 private companies working to advance artificial intelligence technologies have been acquired since 2011, with over 40 acquisitions taking place in 2016 alone (as of 10/7/2016). Corporate giants like Google, IBM, Yahoo, Intel, Apple and Salesforce, are … Continue reading
Neural Networks Typology
Source: The Asimov Institute With new neural network architectures popping up every now and then, it’s hard to keep track of them all. Knowing all the abbreviations being thrown around (DCIGN, BiLSTM, DCGAN, anyone?) can be a bit overwhelming at first. So … Continue reading
Gartner Hype Cycle for Emerging Technologies 2016: Deep Learning Still Missing
For the 22nd year, Gartner has released its much-discussed hype cycle report on emerging technologies, “providing a cross-industry perspective on the technologies and trends that business strategists, chief innovation officers, R&D leaders, entrepreneurs, global market developers and emerging-technology teams should … Continue reading