About Adrian Colyer

Adrian Colyer was CTO of SpringSource, then CTO for Apps at VMware and subsequently Pivotal. He is now a Venture Partner at Accel Partners in London, working with early stage and startup companies across Europe. If you’re working on an interesting technology-related business he would love to hear from you: you can reach him at acolyer at accel dot com.

Adrian Colyer Posts (18)

  • Silver Blog, June 2017Understanding Deep Learning Requires Re-thinking Generalization - 16 Jun 2017
    What is it that distinguishes neural networks that generalize well from those that don’t? A satisfying answer to this question would not only help to make neural networks more interpretable, but it might also lead to more principled and reliable model architecture design.
  • Learning to Learn by Gradient Descent by Gradient Descent - 02 Feb 2017
    What if instead of hand designing an optimising algorithm (function) we learn it instead? That way, by training on the class of problems we’re interested in solving, we can learn an optimum optimiser for the class!
  • Artificial Intelligence and Life in 2030 - 15 Dec 2016
    Read this engaging overview of a report from the Stanford University 100 year study of Artificial Intelligence, “a long-term investigation of the field of Artificial Intelligence (AI) and its influences on people, their communities, and society.”
  • Achieving Human Parity in Conversational Speech Recognition - 13 Dec 2016
    This is an overview of the paper which outlines, for the first time, a system has been developed that exceeds human performance in one of the most difficult of all human speech recognition tasks: natural conversations held over the telephone.
  • A Survey of Available Corpora for Building Data-driven Dialogue Systems - 12 Jul 2016
    This post is a summary of Serban, et al. "A Survey of Available Corpora for Building Data-Driven Dialogue Systems," which is of increasing relevance given the recent state of conversational AI.
  • BigDebug: Debugging Primitives for Interactive Big Data Processing in Spark - 27 Jun 2016
    An overview of a recent paper outlining BigDebug, which provides real-time interactive debugging support for Data-Intensive Scalable Computing (DISC) systems, or more particularly, Apache Spark.
  • The Amazing Power of Word Vectors - 18 May 2016
    A fantastic overview of several now-classic papers on word2vec, the work of Mikolov et al. at Google on efficient vector representations of words, and what you can do with them.
  • Deep Learning in Neural Networks: An Overview - 26 Apr 2016
    This post summarizes Schmidhuber's now-classic (and still relevant) 35 page summary of 900 deep learning papers, giving an overview of the state of deep learning as of 2014. A great introduction to a great paper!