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Bonjour Startup Montreal unveils a new map to visually represent Montreal's artificial intelligence ecosystem. This map, developed in collaboration with Next AI, IVADO and Montréal International, provides an overview of the organizations that make up the Montreal ecosystem. "Montreal is a well-known global hub in artificial intelligence, it's a fact. Throughout the years, Montreal was able to attract several large companies that in part launched innovative hubs dedicated to artificial intelligence. This expertise led to an increasing number of organizations dedicated to AI and, also, an increasing number of startups that incorporate AI into their business model," says Liette Lamonde, CEO of Bonjour Startup Montreal.

Apple (NASDAQ: AAPL) recently acquired Xnor.ai, a Seattle-based start-up that develops low-power, edge-based artificial intelligence tools. Apple didn't disclose the terms of the deal, but GeekWire claimed that the deal was worth about $200 million. Apple reportedly paid a similar amount for Turi, another Seattle-based company that specializes in machine learning and AI, in 2016. Apple also recently acquired British AI start-up Spectral Edge for an undisclosed sum. But those acquisitions are just the tip of Apple's AI iceberg.

Apple (NASDAQ:AAPL) recently acquired Xnor.ai, a Seattle-based start-up that develops low-power, edge-based artificial intelligence tools. Apple didn't disclose the terms of the deal, but GeekWire claimed that the deal was worth about $200 million. Apple reportedly paid a similar amount for Turi, another Seattle-based company that specializes in machine learning and AI, in 2016. Apple also recently acquired British AI start-up Spectral Edge for an undisclosed sum. But those acquisitions are just the tip of Apple's AI iceberg.

India ranks amongst the top three countries in the world in Artificial Intelligence (AI) skills, among top three in AI research, top nine when it comes to AI specialists, and top 20 on the AI Readiness Index. The demand for advanced AI-related technologies has the potential to unlock a trillion-dollar opportunity for India. Intel recognises that the complexity of bringing AI from model to real-world deployment takes a mix of established and novel hardware and software solutions and is committed to collaborating with the AI community to accelerate discoveries and make meaningful progress in how it uses AI to add value to our work and lives. Intel AI DevCamp (Intel AIDC) is one such effort to put AI tools into the hands of scientists, developers, analysts, and engineers. The event also serves as a showcase of innovation being driven in collaboration with industry leaders.

There's no question that Canadian AI is booming. But what makes the Canadian major cities such exceptional hubs of research and startup activity? After digging into the history of key AI actors and institutes in Montreal, the relationships among them and their impact on local entrepreneurs and the growth of the community, we found that Montreal's AI story has three parts, all of which have positive network effects for startups and corporations working in AI: The major difference between Montreal and many other technology hubs is the atmosphere of fellowship and the belief that scientific progress should be for everyone. This foundation of knowledge sharing -- forged by some of the most prominent AI researchers in the world -- has led to to a convergence of AI talent and research support, as well as the establishment of AI research labs, both academic and corporate, in the city. La Belle Ville has research roots that extend across the globe.

Welcome to the artificial intelligence era. Unless you have been hiding under a rock for the last decade, you will have come across some form of artificial intelligence tools or solutions in your life. If you are anything like me, you have been excited to welcome the innovations brought on by artificial intelligence. But when it comes to understanding the landscape of the artificial intelligence ecosystem, it can truly be confusing. This ecosystem includes terms such as general artificial intelligence, artificial narrow intelligence, machine learning, deep learning, and so many others.

What then needs to be done in order to shift the balance to other regions? We need to build more "AI ecosystems". If there are more ecosystems focused on AI, then everyone will be better prepared for what researchers, the business community, analysts and investors identify as the "next big thing". Moreover, creating more ecosystems of this kind will help policymakers better address the challenges, opportunities and even the threat created by the implementation of artificial intelligence. But, in pursuing this goal, we need to realize that we don't need any sort of ecosystem, but the "right kind" of ecosystem.

For the past decade, New York has worked to overtake the Bay Area as the US's #1 startup hub. New York startups have doubled their relative share of dollar volume invested into new tech companies nationwide since 2006 (source: Mattermark), and are now potentially staring down the opportunity to carve out a larger slice of that pie. Recent breakthroughs in Artificial Intelligence will enable tasks that were once thought impossible for a computer to accomplish. In the way that mobile made Uber (via GPS chips) and Snapchat (via front-facing cameras) possible, AI is believed to be the technology that will set off the next wave of massively successful start ups. The most interesting thing to see over the next few years is how New York's startup community will weather the hype surrounding artificial intelligence.

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