Machine Intelligence - Amplify Partners

Announcing Projects To Know, a weekly machine intelligence and data science newsletter

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.

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

Announcing InterVenn BioSciences

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.

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

Machine Intelligence

Age of AI Talk: "Deep Learning est Mort! Vive Differentiable Programming"

A recording and transcript of the talk Lisha gave at the Age of AI conference in San Francisco about differentiable programming as a useful framework for deep learning and machine intelligence.

Machine Intelligence

Infrastructure 3.0: Building Blocks for the AI Revolution

Much of the dialogue around ML and AI has centered disproportionately, albeit understandably, on breakthroughs in algorithms and their applications. Notably absent in the discussion has been any mention of the infrastructure underlying these intelligent systems.

Machine Intelligence

Building Brains for Robots

Amplify Partners leads $7 million initial funding for covariant.ai, a company building brains for robots to automate what was previously impossible. How can we build a robot that learns? Before answering this question, let’s start with a simpler one. How might a robot catch a baseball?

Machine Intelligence

Building Machines that Read and Write: Our Investment in Primer

With the explosion of data, making good decisions quickly has never been more complicated for today’s large organizations.

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.