We invested in Maze because it will transform product design and development; it will engender a world in which designers have data and insights at every step of the design process from ideation through handoff.

From libraries for explaining and interpreting ML models to programming paradigms for weak supervision, the newsletter will focus on a range of disciplines, including: including deep learning, statistical learning, data mining, data management, and data visualization.

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.

Today I am very excited to announce Amplify Partner’s investment in InterVenn BioSciences, a company leveraging mass spectrometry-based glycoproteomics and artificial intelligence to enable biomarker discovery and disease diagnosis.

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

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,

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.

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.