Machine Intelligence Automation, Simplification, and Meeting the Technology Halfway In this Q&A with Michael Osborne, we delve into the historical context of AI and the impact automation will have on the future of work. Michael Osborne is the Dyson Associate Professor in Machine Learning at the University of Oxford.
Machine Intelligence How Clara Labs is on the Cutting Edge of AI by Keeping Humans in the Loop Note: This post was jointly developed with Erik Trautman, a technical entrepreneur specializing in business strategy and product development in the AI and blockchain spaces. Jason Laska is a data scientist who is
The Dirty Secret of Machine Learning In a recent interview David Beyer talks about AI adoption challenges, who stands to benefit most from the technology, and what’s missing from the conversation.
Machine Intelligence Brendan Frey: Deep Learning Meets Genome Biology Download my free report “Future of Machine Intelligence: Perspectives from Leading Practitioners,” now available. The following interview is one of many included in the report. Brendan Frey is a co-founder of Deep Genomics,
Machine Intelligence Unsupervised Learning and other Mysteries: An Interview with the OpenAI Founder Ilya Sutskever is a research scientist at Google and the author of numerous publications on neural networks and related topics. Sutskever is a co-founder of DNNresearch and was named Canada’s first Google Fellow.
Machine Intelligence AI’s Future in Work and Industry Note: This is the first post of a longer series exploring the role machine intelligence will play in the backbone industries that constitute the vast majority of global GDP. In this first post,
Machine Intelligence Machines That Dream: an Interview with Yoshua Bengio Bengio is a professor with the department of computer science and operations research at the University of Montreal, where he is head of the Machine Learning Laboratory (MILA) and serves as the Canada Research Chair in statistical learning algorithms.
