Tag - By Adrian Colyer

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,...