Canada is an artificial intelligence powerhouse: excelling in research and development, cultivating strong collaborations between academia and industry and attracting global talent as well as enabling local talent to thrive. It is also the home of the ‘godfathers’ of modern AI and deep learning, Richard Sutton and recent Turing Award recipients Geoffrey Hinton and Yoshua Bengio.
It is no surprise then that Canada has a major presence at this week’s 4th annual AI Summit in London, where business leaders, researchers and innovators from across 120+ countries are gathering for the world’s largest AI business event.
So what is it about Canada that has placed it firmly at the forefront of the global AI revolution? We explore the evolution of Canadian AI from its fearless origins to its development into a rich, collaborative network of research and entrepreneurship. We have spoken to experts across the country, mapping how each of their unique ecosystems have flourished: from the established research clusters of Toronto, Edmonton and Montreal to emerging hubs of AI innovation from coast to coast.
It was an exciting moment for Canadian AI when, this year, the prestigious Turing Award, known as the ‘Nobel Prize of computing’, was awarded to Canadian deep learning pioneers Yoshua Bengio and Geoffrey Hinton. So how did Canada get here?
While artificial intelligence has been in the spotlight more recently, the Canadian government was one of the earliest supporters of AI research and technology, often in the face of wide public disinterest and limited funding.
The Canadian Institute for Advanced Research (CIFAR) has supported fundamental research and innovation in AI for over 40 years, first introducing the “Artificial Intelligence, Robotics and Society” program in 1983. In 2004, it made the bold move of launching a deep learning program despite its unpopularity, under the direction of Geoffrey Hinton. It was with CIFAR’s support that Hinton and colleagues developed the breakthrough algorithm that marked the birth of what we now brand as ‘deep learning’ and sparked a new wave of research interest in the AI subfield of machine learning.
Today CIFAR leads the Government of Canada’s $125 million Pan-Canadian Artificial Intelligence Strategy, the world’s first national AI strategy focused on supporting innovative research programs and the next generation of AI leaders. In an exciting and historic move, the Government of Canada also announced a $230 million investment in SCALE.AI, the only federal supercluster in AI as part of their $950 million Canadian Innovation Supercluster Initiative.
Canada has always been a pioneer and a risk-taker, choosing to invest significantly in AI research long before it gained a leading position on the world stage. It is this foresight and fearlessness that has established Canada as a global AI leader and why it continues to thrive; building on the research and partnerships established in these early days and continuing to gain significant government and foreign investment.
What sets Canada apart is its openness and commitment to attracting and nurturing AI talent.
In response to the US’ tighter controls on immigration, which has significantly deterred global talent, Canada has introduced a startup visa program and the Global Skills Strategy – a fast track immigration process which allows the processing of visas and work permits in as little as 2 weeks. This means Canada has had a substantial brain gain with 12,000 workers, predominantly from the US and India, coming in to the country. The result? A diverse and highly skilled workforce which is equipped to develop AI solutions to some of our most pressing global problems.
Canada’s AI ecosystem is also truly collaborative, with a tradition of academia and industry collaborations. The country plays host to top AI research centres like Vector, MILA, CIFAR and Amii (more on this below) and unique collaborative programs like the University of Waterloo Co-operative Education programme. The government of Canada also offer significant support for R&D with innovative schemes such as Mitacs – which matches companies with leading researchers and covers half their salary – and the Scientific Research and Experimental Development (SR&ED) – an incentive which covers close to 30% of research expenditures for companies.
One of the largest differentiators of the Canadian AI Ecosystem in comparison to other global ecosystems is the direct support that the Canadian Government has provided to foster the innovation needed to propel the ecosystem through continued funding. Therefore, some of the most significant advances in machine learning research have come from Canadian universities and some of the best research labs in the world call Canada home. With the latest announcement of $4B in science funding for the next several years, we’re sure to see a continued influx of quality research coming from AI research labs.
We spoke to municipalities, provinces and institutes across Canada, exploring what makes their AI ecosystems innovative and unique. From established research clusters like Toronto and Montreal to emerging hubs of AI innovation in Nova Scotia and Guelph, Canada offers a rich diversity of AI research and business innovation that truly sets it apart.
With over 130 start-ups and established players, British Columbia’s (BC) AI sector is a dynamic and growing industry. It is founded on a rich history of innovations with BC being key in the technological birth of IOT.
BC is also incubating the world’s only commercial quantum computer company, D-Wave. Its business unit, Quadrant AI is working with the innovative Generative Machine Learning model which in essence is “deep learning with a lot less data”.
One of the standout areas that makes BC unique is Visual Computing. The Visual Computing movement is building on the roots of BC’s history in video games, film-making and post-production, which earned it the nickname of “Hollywood North”.
BC is home to Canada’s Digital Supercluster and so is recognised as being an important driving force for digital innovation for the nation. The initiative included a project to create an AI-powered medical imaging network to connect all points of care for patients who may be dealing with skin cancer. It will serve as a basis for building similar end-to-end processes in other image-intensive service lines such as Cardiology, Radiology, Pathology and Ophthalmology.
Learn more at: Trade and Invest British Columbia
Computer Vision in Vancouver
Vancouver is home to 130+ AI and machine learning startups, making it one of the largest AI centres in Canada, and has received approximately $1.7 billion AI-related capital investment in 2019.
Vancouver’s strengths lie in areas beyond deep learning, such as Artificial General Intelligence (AGI), Visual Computing, generative models and applied AI, and companies have been flocking to the city at a rapid pace. In 2018, Borealis AI, the largest AI initiative by a Canadian firm expanded to Vancouver to establish a centre focused on computer vision and in 2019, Fujitsu opened its global AI headquarters, Fujitsu Intelligence Technology. In the past month alone, Mitsubishi invested $5.8 million in Spare, an AI-enabled platform for on-demand mobility and smart transportation networks.
Vancouver is a global leader in Computer Vision and in a unique position to have two world-class computing science schools, at Simon Fraser University (SFU) and UBC. With more than 300 graduate and 2,000 undergraduate students, SFU is ranked among the world’s top 50 computing science schools, and among Canada’s top 5. UBC’s main AI research organization, Centre for AI Decision-making and Action, involves more than 50 researchers across five faculties. Its Computer Vision and Robotics research group created Scale-invariant feature transform (SIFT), a widely used feature detection algorithm in computer vision.
Learn more at: Vancouver Economic Commission
Over the past two decades, the province of Alberta has attracted a group of leading-edge AI and machine learning researchers, and Alberta Machine Intelligence Institute (Amii) has been an integral part of that story.
“We have acted as a rallying point to attract and retain top researchers from across the globe, and we are one of the few academic research groups that have not had significant numbers of researchers lured to higher-paying industry. Instead, our researchers have committed themselves to pushing the bounds of scientific knowledge and raising up the next generation of innovators and scientists.
With new programs like Amii Innovates and Amii Educates, we’re helping to translate our scientific and academic leadership into industry, helping businesses build in-house AI capabilities and encouraging AI literacy in Alberta’s workforce. Alberta is a place where someone can dream big and find a supportive network of academics, entrepreneurs and members of industry and government.”
Director, Communications & Public Relations
Alberta researchers have a broad range of expertise across machine learning, from Natural Language Processing to data mining and human-machine interaction. Their teams are seen as world leaders in the areas of algorithmic game theory (solving Checkers in 2007, beating human pros at Head-up No-limit Texas Hold’em in 2016), precision medicine (helping to diagnose tuberculosis and a selection of psychological disorders) and especially in the area of reinforcement learning. Alberta is perfectly positioned to dominate in the digital economy.
Learn more at: Alberta Machine Intelligence Institute
Investing in Calgary
As Alberta increases its investment in its world-leading centres and programs for AI and machine learning (most recently $100 million towards the Alberta Machine Intelligence Institute to include a new office in Calgary), its cosmopolitan city of Calgary looks set for an AI boom.
As businesses embrace the new economy, the scope of the opportunity is becoming clear and companies are now forecast to spend $18.4 billion on digital transformation across all industries in Alberta through 2022 as expenditures steadily ramp up. Spending on digital transformation in the province, much of it driven from Calgary, is forecast to grow at a compound annual rate of 20% over the next three years as disruptive technologies like AI begin reshaping our economy.
Calgary is the first city in Canada to forecast the digital spend across its key industries in areas such as AI, Industrial Internet of Things (IIoT), next generation security, 3D printing, augmented reality/virtual reality (AR/VR), and robotics. The research conducted by IDC Canada for Calgary Economic Development, aimed to ensure companies and top talent realize the scope of opportunity Calgary have to take on global challenges.
With Canada’s 2nd highest number of Head Offices in sectors including AgTech Energy, Life Sciences and Transportation and Logistics, Calgary’s tech system is set to expand at a rapid pace.
Learn more at: Calgary Economic Development
Edmonton: A History of AI
“[University of Alberta is the] spiritual home and birthplace of games and AI.”
One of the 3 leading AI research clusters in Canada alongside Toronto and Montreal, you can’t write a history of artificial intelligence without mention of Edmonton.
Edmonton’s University of Alberta has ranked third in the world over the last 25 years for AI and machine learning research and their AI contributions are world-famous. Nine years after Polaris, a program led by University of Alberta professor Dr. Michael Bowling, defeated poker professionals, the Deep Stack poker program became the first to defeat professional Texas Hold’em players in 2016. In 2017 World champion Go player Lee Sedol was defeated by DeepMind’s AlphaGo program, again led by a team from the University of Alberta. The city is also the home of reinforcement learning pioneer Richard Sutton.
Edmonton boasts some of the top AI talent in the world, attracting global companies to set up AI labs in the city. Combined with unique data sets, domain expertise and strong business fundamentals for AI and tech and you have the key ingredients for AI success.
This success occurs in a community that has the support of all levels of government. The federal government invested $125 million in the University of Alberta and other institutions to expand their AI strengths and the Government of Alberta also pledged $100 million over 5 years. The presence of Alphabet’s DeepMind and the world-renowned Alberta Machine Intelligence Institute (Amii) is a testament to Edmonton’s vast history of AI excellence.
Learn more at: Edmonton Economic Development
Saskatchewan’s diverse industrial base focuses on AI to help supply products and services to their resource sectors including drilling and processing oil & gas, mining of over 30 different minerals, forestry for wood products and construction materials, agriculture for food products and agricultural machinery used in dryland farming operations.
AI in Saskatchewan is also growing because of the province’s focus on Research and Development through government programs and the establishment of many different research and development organizations in the province, that offer specialized services to many different resource sectors.
Saskatchewan has invested in a lot of the key infrastructure organizations required to develop AI including Canada’s only Light Source Synchrotron that is focused on developing and testing new AI processes for products that are used to process and extract natural resources. The province excels in thE areas of machine automation for production processes, unmanned vehicles used in underground mining and agricultural operations such as seeding and spraying of crops and remote controlled farming equipment.
As its AI sector continues to grow, Saskatchewan looks set to attract new companies to set up operations there, by providing innovative government programs that help offset some of the costs of research and development, employee training and business taxation.
Learn more at: Invest in Saskatchewan
Winnipeg Makes Economic Sense
Winnipeg’s AI ecosystem has been built in large part by local entrepreneurs leveraging their strong market incentives – offering the lowest power rates in North America and a highly diverse, and stable economy. Winnipeg’s AI presence leverages existing infrastructure around agriculture, advanced manufacturing and aerospace sectors.
Companies like Sightline Innovation, Invenia, Farmer’s Edge, and Northstar Robotics have become global leaders in machine learning, data security and robotics and, with the development of entities such as EMILI (Enterprise Machine Intelligence and Learning Initiative), Winnipeg is poised to continue trailblazing AI technologies moving forwards.
Learn more at: Yes! Winnipeg
The province of Ontario has become synonymous with the artificial intelligence revolution. It was here, decades ago, that Geoffrey Hinton and other AI pioneers in Toronto and Waterloo unlocked the potential of neural networks.
Today, the cities of Ontario are leading the world in AI talent and innovation with the biggest players in tech choosing to make it their home. Businesses are able to tap into Ontario’s high-quality talent pools, world-leading research and flourishing AI ecosystem to build cutting-edge AI solutions that meet some of our most pressing global challenges. In a landmark investment, the University of Toronto received an $100-million gift from Gerald Schwartz and Heather Reisman to advance Canadian Innovation – a true testament to the power of Ontario AI.
Centres in Toronto and Guelph are also leading work to ensure the era of widespread artificial intelligence is guided by the right ethics and values, placing Ontario firmly at the centre of the “tech for good” movement.
Where Ontario really shines is talent. London, Waterloo, Guelph, Hamilton, Toronto and Ottawa all offer pipelines of highly specialised talent that are allowing AI businesses to thrive. We shine a spotlight on these 6 cities and what makes their AI ecosystems exciting and unique.
Learn more at: Invest in Ontario
AI in London is integrated in the products and services of a number of companies in the industrial, life sciences and ICT spaces. This has been a natural progression of competitive product and service development in the London ecosystem.
London has particular strengths in AI in the manufacturing and processing industries which developed in response to the large manufacturing sector in the region. This sector is led by automotive, defense and aerospace but also reflects a significant presence for food and beverage processing.
London’s growing AI presence will continue to be enhanced by the talent development and R&D capabilities of Western University and Fanshawe College, home to strong engineering and computer sciences programs.
Learn more at: London Economic Development Corporation
Growing a wealth of home-grown talent in Waterloo
Waterloo is a hotbed for applied artificial intelligence research, commercialization and business, with more than 90 AI businesses serving the automotive, advanced manufacturing, medical and consumer technology industries. This includes giants like Google, Shopify and Square, as well as startups and scale-ups like Vidyard, Acerta, North and Applyboard.
Waterloo is home to one of North America’s top-ranked AI universities – the University of Waterloo – which is also a partner in the SCALE.AI supercluster. The city is well-positioned for global leadership in AI thanks to important public and private investments in research and talent development. In the coming years, Waterloo expects to see a sustained growth of home-grown AI companies and an influx of businesses that want to tap into their expertise in applied AI to improve their product offerings.
Learn more at: Waterloo EDC
Automotive Investment in Guelph
Guelph sits at the centre of Canada’s Innovation Corridor, strategically located between Toronto and the Waterloo region, making it an emerging hotspot for academic excellence and innovation in AI.
The University of Guelph recently launched the Centre for Advancing Responsible and Ethical Artificial Intelligence (CARE-AI), led by engineering professor and member of Toronto’s Vector Institute Graham Taylor. Amid an increasing global need and industry demand for professionals in cybersecurity and threat intelligence, the University has also introduced the Master of Cybersecurity and Threat Intelligence (MCTI), a unique, cutting-edge program. Not to mention Guelph alumna Kelly Brookes’ female-led AI platform Quarter4, which harnesses sports data and statistics to predict team and player performance.
The city has a strong focus on the Agri-Innovation and automotive sectors and last year the Canadian Government announced a new Innovation Centre in Guelph for automotive parts manufacturer Linmar, as part of a $49 million investment. The funding will help create 1,500 new Canadian jobs and maintain more than 8,000 by supporting advanced manufacturing processes – including AI – and cleaner automotive technologies. A milestone in the Government of Canada’s long-term strategy to remain globally competitive in the automotive industry, with Guelph at its epicentre.
Guelph also scored the highest for Canadian cities in three developer roles: embedded developers, data scientists, and machine learning specialists (‘Stacking Up: A snapshot of Canada’s developer talent’, Brookfield Institute, Dec 2017). Overall, Guelph was ranked seventh in overall concentration of developers in Canada and its talent pool can only strengthen as Guelph emerges as a key player in Canadian AI.
Learn more at: City of Guelph
Hamilton: Turning Innovation into Application
Hamilton is an AI investment destination because of its strengths in applied research, experiential learning and talent development. Home to Canada’s most research intensive university (McMaster University) and college (Mohawk College) and home to one of Canada’s top hospital networks for private sector investment, Hamilton has a proven capacity to turn innovations into applications.
In particular, Hamilton has world class research facilities and programs including MacDATA, McMaster Advanced Control Consortium, McMaster Psychology, Neuroscience, and Behaviour, McMaster Cognitive System Laboratory and McMaster Wireless System Research Group. Mohawk College, the only Canadian college Technology Access Centre specializing in Digital Health, also has leading programs focused on AI and healthcare.
Mohawk College is the only college in Ontario with an exclusive contract with EON Reality for Augmented Reality (AR) and Virtual reality (AR) applied research and industry commercialization. Hamilton looks set to build on its international reputation for AI in advanced manufacturing and life sciences.
Learn more at: Invest in Hamilton
Toronto: An AI pioneer
‘The Toronto Region is a hotbed of AI talent layered over a historical pool of advanced manufacturing talent, making it an ideal location to innovate, create and commercialize AI products’
Home to the pioneering Canadian Institute for Advanced Research (CIFAR), the Toronto Region has long been ahead of the game when it comes to supporting AI research and technology.
Toronto’s world-renowned AI ecosystem spans academia, research institutes (i.e. Vector), incubators and accelerators. It offers the ability to work alongside some of the most talented AI researchers in the world and breathes life into innovative companies working to solve the world’s greatest challenges through the power of AI. Toronto also offers the highest quality talent for the lowest cost, when compared to other prominent tech hubs in the U.S. It’s a calculus that’s attracting talent from all corners of the globe and investment from multinational anchor firms from the likes of Uber, IBM, Samsung, LG, Nvidia and more.
As a result of the Toronto Region’s diverse economy, AI applications in the region span multiple sectors, from Life Sciences and Food and Beverage to Fintech and Automotive.
“I recently made the decision to leave my executive role at Facebook in Silicon Valley to start a company, Integrate.AI, focused on applied artificial intelligence. Normally, this news would not raise an eyebrow in the valley; however, there was a notable difference in my case – I chose to start my company in Toronto.”
Steve Irvine, Founder and CEO, Integrate.AI
Learn more at: Toronto Global
The Vector Institute
“Increasingly, the world’s most promising researchers in deep learning and other AI subfields are looking at Canada as a hub with many opportunities to collaborate, advance research and develop applications. Vector is a pillar of the Canadian AI ecosystem and I’m very excited that the team is expanding with highly sought-after talent.”
Chief Scientific Advisor
Created under The $125 million Pan-Canadian AI Strategy, The Vector Institute is an independent entity dedicated to AI research, and one of the world’s top destinations for deep learning research. Established in 2017 to build on deep learning strengths at the University of Toronto, Vector has grown to include researchers in universities and institutions across Canada. Vector works with industry, institutions, startups, incubators, and accelerators throughout the country to advance AI research and drive its adoption and commercialization.
Since the launch of the Pan-Canadian AI Strategy about two years ago, the Vector Institute has been among a series of catalysts for over $1 billion of announced AI and tech-related investments, which will result in the creation of 25,000 jobs across Canada. A true embodiment of the AI innovation that permeates Toronto, Ontario and Canada’s rapidly expanding AI community.
Learn more at: Vector Institute
Autonomous Vehicles in Ottawa
“With a history of incubating “unicorns” like Cognos and Shopify, Ottawa has the magic formula for technology success. Great quality of life, millennial-friendly, affordable housing, deep technical talent pools, seasoned executives, top schools, incubators, venture capital, green space… and lots of good coffee.”
Erik McBain, CFA
Industry Lead – Financial Services
Canada’s capital is one of the most exciting and diverse tech hubs in North America with some of the world’s leading tech companies setting up in the city. This includes a top IBM Watson R&D site (key elements of IBM’s Watson computer were developed in Ottawa), Shopify, MindBridgeAI and BlackBerry’s QNX lab.
Ottawa also has a strong pool of tech talent. With 1 in 5 students enrolled in STEM, Ottawa has the second highest concentration of scientists and engineers in North America and the highest concentration of tech talent at 11.2 % of all jobs (Image below: Ottawa L5 autonomous vehicle test track, Invest Ottawa)
Among its impressive AI portfolio, Ottawa is a pioneer in autonomous vehicles with the L5 test facilities provide world-class integrated testing grounds for the safe implementation of connected and autonomous vehicles (CAVs).
“Building on Ottawa’s internationally recognized strengths in telecommunications, the Ottawa L5 testing facilities are equipped with vehicle-to-everything (V2X) connectivity including GPS (RTK), dedicated short range communications (DSRC), Wi-Fi, 4G/LTE and 5G infrastructure, making it the first integrated CAV test environment of its kind in North America.
Learn more at: Invest Ottawa
The province of Quebec is a world-recognised AI hub and home to two major AI hotspots: Montreal, an established research powerhouse with a deep legacy of research in Machine Learning; and Quebec City, a flourishing hotspot of AI talent and research.
Quebec is considered one of the most dynamic ecosystems in AI, hosting world-leading research institutes and companies. This includes The Montreal Institute for Learning Algorithms (MILA), Borealis AI (Royal Bank of Canada’s AI lab), the Institute for Data Valorization (IVADO) and Element AI. Most notably, Montreal was selected to headquarter SCALE.AI as part of the $950 million Canadian Innovation Supercluster Initiative.
Element AI, which is led by deep learning pioneer Yoshua Bengio recently, raised a momentous $137.5 million in its Series A funding round, more than any other AI company in history. Bengio is only one example of a leading professor heading up an AI enterprise in Quebec. Joelle Pineau and Doina Precup, Co-directors of the Reasoning and Learning lab at McGill University are head of Montreal’s Facebook Research and DeepMind AI labs respectively.
It is this combination of talent, research and entrepreneurship that really sets Quebec apart and has helped to establish a critical mass of exceptional talent that is, in turn, fostering a global network of collaboration and innovation.
Learn more at: Invest Quebec
Montreal: A Legacy of Machine Learning
“Montreal’s strength lies in its deep legacy of research in Machine Learning. Thanks to the efforts of pioneers like Yoshua Bengio, the city has built a strong ecosystem of researchers and practitioners. that has led to the presence of numerous corporate labs, tech research centres and the emergence of leading startups like Element AI and Stradigi”
Director, Business Development
Montreal is home to 11 higher education institutions, including world-leading McGill University and Université de Montréal, giving way to a rich network of AI talent, research and entrepreneurship.
The current AI talent pool consists of more than 300 researchers in fields related to artificial intelligence, 93,000 AI-related specialists employed in Greater Montreal and 11,000 students enrolled in AI and data-related programs. This has attracted major international companies to set up AI labs in the city in the last couple of years, including Google, (Google Brain), DeepMind, IBM, Samsung, Facebook and Microsoft (Maluuba).
Perhaps the most important feature of Montreal’s AI landscape is its focus on integrating research and innovation with entrepreneurship. Universities are working in partnership with big tech companies, AI labs, over 30 leading accelerators and 120+ startups to significantly advance the development and commercialization of AI technologies. As testament to its success the city was selected to headquarter SCALE.AI, the only federal supercluster in AI as part of the $950 million Canadian Innovation Supercluster Initiative.
Learn more at: Montreal International
Quebec City: A talent hotspot
The quality and the availability of talent, the competitive business environment, the diverse cultural environment and the safe work environment make Québec City a prime location for Bentley’s systematic growth. Quebec is now for Bentley a strategic location for the software development in geospatial, reality modeling, geotechnical, civil engineering and applied artificial intelligence.
Vice-president portfolio development
Quebec City is a hub of high-quality, specialised talent, which is attracting international investment in the city’s impressive portfolio of AI-led companies. This includes global software provider Bentley Systems Inc. acquiring Quebec City-based AIworxInc.; $125M in Coveo, a leader in the field of internal search engines for businesses and $130M in LeddarTech to continue marketing and development of its driverless vehicle solution. Quebec City’s traceability systems company Optel also co-directs Canadian supercluster SCALE.AI, dedicated to the use of artificial intelligence in supply chains. By 2023, SCALE.AI will invest nearly 260 million CAD to support collaborative innovation projects and new training programs.
The Québec City area’s expertise in robotics and optics/photonics allows it to excel in the sensors, automation and learning domain, using data from the real world to develop concrete artificial intelligence solutions. At the heart of its AI research, Québec City has 50 researchers at the CRDM-UL (Centre de recherche en données massives de l’Université Laval) who specialize in data analysis and processing, and dozens of additional researchers working in other world-renowned research centres. When it comes to AI talent, there’s few better locations than Quebec.
Learn more at: Quebec International
Nova Scotia has long boasted an aptitude for Data Science and analytics. There is a significant concentration of talent in Halifax, which has the second-highest concentration of data analytics and machine learning developers in Canada. Nova Scotia is also home to one of only 5 Tier 1 Canada Research Chairs in Machine Learning hosted at Dalhousie University in Halifax and the region has seen a 50% growth in university enrolment in computer science programs over the past two years. This has helped ensure a steady stream of skilled talent equipped with the most relevant industry knowledge and tools.
Nova Scotia’s advantage is closely connected to their history. Surrounded by more than 7,000 km of coastline, the region has developed a thriving ocean technology sector, learning how to harness the ocean’s potential for generations and build rich sets of ocean data. When combined with their analytics capabilities, Nova Scotia is a Canadian leader in offering AI-based tech for the good of our oceans.
Learn more at: Nova Scotia Business Inc.
This is just a snapshot of some of the rich diversity of AI research and business innovation that is happening across Canada. All of the municipalities and provinces mentioned will be at the AI Summit at the Excel Centre in London on 12th-13th June – learn more about their unique AI ecosystems at the event or via contact LDNfirstname.lastname@example.org. We have also linked to the website for each area in the article. Thank you to all the contributors from across Canada and the High Commission of Canada in the UK for partnering with us on this report.