This document provides the supplementary material to our proposed deep contextual video compression (DCVC), including detailed network structures, training strategies, as well as additional experimental results to demonstrate the effectiveness of the proposed DCVC. The above part is the encoder and the below part is the decoder. For simplification, the entropy model is omitted. ResBlock represents plain residual block. The numbers represent channel dimensions.

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Brisbane, California-based Caption Health, maker of artificial intelligence-assisted ultrasound guidance software, has tied up a $53 million Series B funding round. Prior backer DCVC headed the raise. Atlantic Bridge and Edwards Lifesciences joined the round as new investors, while Khosla Ventures added onto its previous stake. The company's Caption AI software platform consists of two components, Caption Guidance and Caption Interpretation. The first uses AI to guide medical professionals though cardiac imaging that would normally be conducted by an ultrasound expert.

Montreal-based Element AI, which develops artificial intelligence-powered software solutions, announced this morning it has raised US$151.4 million in a massive Series B round. Founded in 2016 by a team of six partners including serial entrepreneurs Jean-François (JF) Gagné and A.M. Turing Award winner Yoshua Bengio, Element AI is described by lead investor Caisse de dépôt et placement du Québec (CDPQ) as "a company with a commercial focus that anticipates and creates AI products to address clients' needs." In its own words, Element AI "turns research and industry expertise into software solutions that exponentially learn and improve" and are adapted to specific industries with a primary focus on the financial services and supply chain sectors. Its offering, which includes advisory services, AI-enablement tools and products, aims to help large organizations "operationalize AI and create real business impact." Customers include LG and National Bank, among others.

A University of Toronto startup using artificial intelligence to speed drug discovery has raised US$45 million to fund growth – yet another example of how efforts to commercialize the university's AI expertise are making waves in the business world. San Francisco-based Atomwise, which helps screen millions of potential drug candidates in a fraction of the time of traditional methods, said this week its latest funding round was led by Monsanto Growth Ventures, Data Collective (DCVC) and B Capital Group. That brings the total amount of capital Atomwise has raised to more than US$51 million. "With our initial work in 2012, Atomwise became the first startup to commercialize deep neural networks for drug discovery," Abraham Heifets, the company's co-founder and chief executive, said in a statement. "It seemed to many like science fiction then, but now in 2018 Atomwise has the commercial traction with a host of customers to demonstrate our leadership in AI for drug discovery." Co-founded by U of T alumni Heifets, Izhar Wallach and Alexander Levy, Atomwise says its AI technology has the potential to fix a key problem for the pharmaceutical industry: declining productivity as pharma companies achieve fewer breakthroughs per research dollar.

Montreal-based Element AI, a key player in the city's burgeoning artificial-intelligence sector, has clinched a major financing deal to fund future growth and job creation. Element is set to announce on Wednesday that it has raised US$102-million from a group of investors led by San Francisco venture capital fund Data Collective (DCVC). The deal is the largest Series A funding round for an AI company in history, Element says. The investment will allow Element to "accelerate its capabilities and invest in large-scale AI projects internationally, solidifying its position as the largest global AI company in Canada and creating 250 jobs in the Canadian high tech sector by January 2018," it said in a news release. Element was founded last year by tech entrepreneurs Jean-François Gagné and Nicolas Chapados, Montreal venture capital fund Real Ventures, and Université de Montréal AI scientist Yoshua Bengio.

Element AI, the Montreal-based artificial intelligence (AI) powerhouse, today announced it has raised $137.5 million ($102 million USD) in Series A funding, the largest in history for an AI company. The round was led by Data Collective (DCVC) with further investments from Real Ventures, Development Bank of Canada (BDC), Fidelity Investments Canada, Hanwha Investment, Intel Capital, Microsoft Ventures, National Bank of Canada, NVIDIA, Tencent, and several of the world's largest sovereign wealth funds. READ ALSO: Yoshua Bengio and friends launch'AI startup factory' The funding will allow Element AI to invest in large-scale AI projects internationally, solidifying its position as the largest global AI company in Canada and creating 250 jobs in the Canadian high tech sector by January 2018. Co-founded by serial entrepreneurs Jean-François Gagné and Nicolas Chapados, Real Ventures and Yoshua Bengio, a co-father of deep learning technology, Element AI aims to bring academic AI innovation to global organizations. Started in October 2016 to empower industry with the massive scale of academic AI innovation Bengio was driving at the world-leading Montreal Institute of Learning Algorithms (MILA), the two groups pioneered a unique, non-exploitative model of academic cooperation they have since replicated at many other institutes.