Tag - Venture Partner

Achieving Human Parity in Conversational Speech Recognition

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. By Adri...

Artificial Intelligence and Life in 2030

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.” By...

Deep learning scaling is predictable, empirically

This study starts with a simple question: “how can we improve the state of the art in deep learning?” By Adrian Colyer, Venture Partner, Accel. comments Deep learning scaling is predictable, empirically Hestness et al., arXiv, Dec.2017 With thanks to...

Learning to Learn by Gradient Descent by Gradient Descent

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! By Adrian Colyer, Venture Partner,...

Understanding Deep Learning Requires Re-thinking Generalization

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 mode...

Usage Patterns and the Economics of the Public Cloud

Research in economics and operations management posits that dynamic pricing is critically important when capacity is fixed (at least in the short run) and fixed costs represent a substantial fraction of total costs. By Adrian Colyer, Venture Partner,...