Leading global technology distributor and solutions provider Avnet Asia will host the "Avnet AI Cloud Exhibition", showcasing innovative technology, applications and solutions in Artificial Intelligence (AI) and machine learning together with its suppliers and partners. With the ability to quickly design, develop and deploy solutions, Avnet can meet the needs of a variety of application scenarios to accelerate the industrialization of artificial intelligence. During this period, Avnet will also hold the "Avnet 2021 Artificial Intelligence Cloud Conference" on June 29, 2021. Joined by developers, engineers, and decision makers in the AI field, the summit will feature cutting-edge technology trends in artificial intelligence and machine learning, and in-depth discussions on the development, future prospects and blueprints for AI to encourage and accelerate innovation. KS Lim, senior director of supplier management at Avnet Asia said, "MarketsandMarkets forecasts the global artificial intelligence (AI) market size to grow to over USD 300 billion by 2026, and the market in Asia Pacific is anticipated to grow at the highest CAGR during the forecast period. As the world's leading technology distributor and solution provider, Avnet has a comprehensive ecosystem that provides customers with end-to-end artificial intelligence and machine learning solutions, reducing the cost and complexity of product development to enable application scenarios. We will continue to work hand in hand with our suppliers and partners to further contribute to the development and maturity of the entire AI ecosystem."

KS Lim, senior director of supplier management at Avnet Asia said, "MarketsandMarkets forecasts the global artificial intelligence (AI) market size to grow to over USD 300 billion by 2026, and the market in Asia Pacific is anticipated to grow at the highest CAGR during the forecast period. As the world's leading technology distributor and solution provider, Avnet has a comprehensive ecosystem that provides customers with end-to-end artificial intelligence and machine learning solutions, reducing the cost and complexity of product development to enable application scenarios. We will continue to work hand in hand with our suppliers and partners to further contribute to the development and maturity of the entire AI ecosystem."

Jointly demonstrate innovative AI technologies and applications at the Avnet AI Cloud Exhibition · AI camera: A smart AI camera utilizing a neural network …

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.

The below diagram shows how many of AI-based drug discovery startups emerge each year, and how much VC money they get collectively (only publicly announced rounds included). Another important indicator of pharma industry's willingness to adopt AI innovations is the number of collaborations between prominent pharma players and AI-technology vendors (startups). As one can see, the number of collaborations has been growing so far to reach the maximum in 2017. The year 2018 is currently being updated so the data here is still not complete.

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.