Artificial intelligence (AI) is a set of complex and powerful technologies that will touch or transform every sector and industry in Canada. It has the power to help us address some of our most challenging problems, from improving Canadians’ health to fighting climate change. It will also introduce new sources of job creation and sustainable economic growth. Canada has already started harnessing AI through the AI supercluster, based in Montréal.
Today, the Honourable Navdeep Bains, Minister of Innovation, Science and Economic Development, announced the launch of the Advisory Council on Artificial Intelligence. This is the next step in the Government of Canada’scomprehensive approach to supporting this important new sector. The Minister announced the creation of the Council while in Paris for the G7 meeting of Digital Ministers. The theme of this year’s meeting is “Building Digital Trust Together.” Participants will reflect on the parameters required to foster innovation while building trust in digital societies and economies.
The council will advise the Government of Canada on how best to build on Canada’s AI strengths, identify opportunities to create economic growth that benefits all Canadians and ensure that AI advancements reflect Canadian values. The Government is committed to promoting a human-centric approach to AI, grounded in human rights, transparency and openness. These values will ensure that we can increase trust and accountability in AI while protecting our democratic values, processes and institutions.
Specifically, the council will establish a working group on commercializing value from Canadian-owned AI and data analytics, building on the work started by the Digital Industries Economic Strategy Table. It will also provide advice on how best to advance the goals laid out in the Canada-France Statement on Artificial Intelligence and will support Canada’s participation in various international engagements such as the G7, the G20, the OECD and the World Economic Forum.
The advisory council will be co-chaired by Foteini Agrafioti, Chief Science Officer for the Royal Bank of Canada, and Yoshua Bengio, Scientific Director of the Montreal Institute for Learning Algorithms.
Members of the advisory council also include:
- Pierre Boivin, President and CEO, Claridge
- Natalie Cartwright, Co-Founder and Chief Operating Officer, Finn AI
- Marc-Antoine Dilhac, Canada Research Chair in Public Ethics and Political Theory, Université de Montréal
- Eli Fathi, Co-Founder and CEO, MindBridge Analytics Inc.
- Geoffrey Hinton, Chief Scientific Advisor, Vector Institute for Artificial Intelligence
- Ian Kerr, Canada Research Chair in Ethics, Law and Technology, University of Ottawa
- Jordan Kyriakidis, Co-Founder and CEO, QRA Corp.
- AJung Moon, Director, Open Roboethics Institute
- Mona Nemer, Canada’s Chief Science Advisor
- Teresa Scassa, Canada Research Chair in Information Law and Policy, University of Ottawa
- Elissa Strome, Executive Director of the Pan-Canadian AI Strategy, Canadian Institute for Advanced Research
- Richard Sutton, Chief Science Advisor, Alberta Machine Intelligence Institute
- Geneviève Tanguay, Vice President of Emerging Technologies, National Research Council Canada
“Artificial intelligence is more than just a new product or service. It has the potential to help us solve some of the most difficult challenges we face, create jobs and growth across all industries, and improve the lives of all Canadians. The advisory council will help us capitalize on Canada’s leadership in AI in ways that upholds Canadian values of inclusiveness and diversity so that all Canadians can participate in and benefit from the digital economy.”
– The Honourable Navdeep Bains, Minister of Innovation, Science and Economic Development
“Artificial intelligence has enormous potential to help us design the responsive digital services that Canadians demand, but it must be used ethically and responsibly. The Advisory Council on Artificial intelligence will give us essential expertise from across industry, academia and government to make sure we use AI in a way that is transparent, deliberate and accountable.”
– The Honourable Joyce Murray, President of the Treasury Board and Minister of Digital Government
- Canada has a strong foundation in AI to build on, with strengths in science, skills and talent, and clusters, as well as a thriving start-up ecosystem. Canada is home to more than 800 AI companies, and the number of Canadian AI start-ups is growing by approximately 28% year over year.
- Artificial intelligence is an important contributor to Canada’s economy. In 2018, $548 million in venture capital was invested in Canadian AI companies, an increase of approximately 50% from 2017. As well, Canadian job opportunities in the field of AI grew by nearly 500% between June 2015 and June 2017.
- The government selected five superclusters that represent more than 450 businesses, 60 postsecondary institutions and 180 other participants. These superclusters are all planning to support projects that will promote the development or use of AI in their respective industries. The AI-Powered Supply Chains Supercluster (SCALE.AI) will be the supercluster with the biggest focus on AI, undertaking activities to develop next-generation AI-powered supply chain platforms and create over 16,000 jobs for Canadians.
- The Pan-Canadian Artificial Intelligence Strategy supports AI research and talent attraction and retention in Canada, promotes collaboration between Canada’s main centres of AI expertise, and positions Canada as a leading destination for companies in this sector.
- The Government of Canada’s support for the Advisory Council on Artificial Intelligence will be led by Innovation, Science and Economic Development Canada in collaboration with Global Affairs Canada, the Treasury Board of Canada Secretariat and the Privy Council Office, as well as other federal departments and partners.
- On November 22, 2018, at the Digital 9 Summit in Israel, Canada and the other D9 member nations agreed on a shared approach to the responsible implementation and use of AI by governments.
- Terms of Reference of the Government of Canada Advisory Council on Artificial Intelligence
- Biographies of the members of the Government of Canada Advisory Council on Artificial Intelligence
Find more services and information at Canada.ca/ISED.
SOURCE Innovation, Science and Economic Development Canada
YAO Network: The Blockchain Paradise Developers Have Been Waiting For
Permissioned blockchain? Private blockchain? Public blockchain? Fret not for YAO Network accepts them all. YAO Network is a cloud service paradise for new blockchain projects looking for a community to nestle in and make their homes there. By integrating cloud computation with decentralized computation, the YAO Network is able to support computation eco-platforms of multiple blockchain networks, maximizing the utility of all participants while helping projects to achieve their technological targets and generate value.
The YAO Network was built for a vision: to benefit developers and to help enterprises achieve much more, freeing the successes of blockchain technologies for all to enjoy. This vision grounds the design of YAO Network’s architecture as the platform seeks to establish a comprehensive service and utility computation platform where Pareto optimality is achieved amongst developers, enterprises, and overall public utility.
Like many other blockchain platforms out there, technology remains a key factor in determining a platform’s functionality. The YAO Network certainly has a strong pillar of support in its robust technical infrastructure to achieve its goals.
1. YAO Network integrates multiple computation paradigms in utility computation.
The YAO Network platform effectively combines three computational paradigms, cloud computing, decentralized computing and encrypted computing, to meet the demands of different applications and create maximum computation utility.
Cloud computation has been gaining massive popularity as a computational model in many enterprises and the public. The advantages of cloud computation are numerous. It saves cost for enterprises, developers and the public while offering flexible workload deployments, which enhances the overall utility of both individuals and society.
Recognizing the advantages of cloud computation, the YAO Network platform makes cloud computing the only carrier of all service and computation units in the blockchain. Cloud computing is not only utilized for deployments and encrypted computation of centralized applications, but also widely applied in decentralized blockchain networks.
2. YAO Network standardizes decentralized and centralized computation units based on cloud computation.
Different computation units have been designed for various types of applications to promote the usage of blockchains in the public domain. YaoLet is the solution designed by the YAO Network for decentralized applications, while BuildPack is its equivalent for centralized applications designed based on PaaS. The entire architecture is rested on these two solutions alongside other services. As YaoLet and BuildPack are both multiplexed; developers and service providers can participate in the sharing of YaoLet and BuildPack and reap the rewards through corresponding YAO Network reward system.
3. YAO Network allows softwares to define blockchain through topological orchestration and virtualization.
Most computations are no longer an isolated and individual computation unit; they have complex interconnections that are unified by a topological structure. This combination of computational units is achieved through topological orchestration.
On one hand, new services and components can be combined and orchestrated by existing computation units. On the other hand, various infranets in blockchains can also be orchestrated to establish corresponding nodes and services. Most blockchain architectures like YAO Network take on a modularized approach where interledger general blockchain protocols are made viable through plugging and unplugging every component and service as well as modularizing operations. The blockchain network becomes the virtual superposition of peer-to-peer networks, making it possible to define new blockchain network models and service models through virtual and abstract orchestrations.
4. YAO Network supports multiple blockchain network architectures and paradigms including public blockchains, permissioned blockchains and private blockchains.
The blockchain network within YAO Network supports three types of blockchains, namely public blockchain, permissioned blockchain and private blockchain. They can be broken down into shared and exclusive nodes based on the extent of its isolation. Enterprises and developers can build on shared blockchains or create their own exclusive blockchains on the YAO Network platform. Another alternative would be to classify the blockchain network based on its testnet and mainnet, and their applications.
5. YAO Network maximizes utility of developers, enterprises and the general public.
YAO Network is a one-stop blockchain service platform for blockchain service consumers, developers and enterprises to share innovations both in public and private. One of the biggest hurdles blockchain has yet to overcome is its low adoption rate and thus the YAO Network has provided blockchain PaaS services for developers to utilise and a platform where they can release their blockchain products directly to blockchain service providers. This forms a healthy supply and demand ecosystem as iterations of blockchain products are incubated or eliminated based on practicality and impact. Those that are proven viable will unite and form a larger blockchain ecosystem and platform.
Developers even earn the chance to make some profits through the YAO Network. The network rewards developers when their creations are utilised by others. In addition, the YAO Network has three specific function modules in terms of product modality: blockchain marketplace, enterprise aggregation and solutions, and developer community. This forms a trinity that works together to serve both developers and enterprises. Driven by supply, YAO Network solves the scarcity of blockchain comprehensive services by connecting and bridging between developers and enterprises, in order to establish a healthy and organic ecosystem where all participants have maximum utility within the system.
6. YAO Network has high inclusivity in the system.
A well-designed architecture should have open interfaces. Every layer delivers its own functions, and is connected to each other through the same cross layer interface. The YAO Network system is designed based on important principles including openness, security, technology neutrality, verifiability in the future, interoperability, scalability, modularization, manageability and dependability, to achieve inclusivity in the system.
YAO Network embraces existing and future blockchain applications and is committed to establishing a comprehensive computation platform with multiple blockchains, multiple computational paradigms and integrated utilities.
SOURCE YAO Network
New Research Reveals SafelyYou’s AI-Enabled Fall Detection Reduces Need for Emergency Service Care in Dementia Care Facilities
Real-time fall detection using SafelyYou’s artificial intelligence-enabled video recording reduced the need for emergency services by a staggering 80% in dementia care facilities, according to research results published in the American Journal of Managed Care. The study closely examined the impact of SafelyYou’s memory care-focused technology to detect falls, videotape falls and notify care staff so that video review of the incident could occur immediately after each fall.
“According to the Alzheimer’s Association Report (2016), fall injury is the leading cause of Alzheimer dementia–related hospitalizations, with $5.3 billion in annual cost to Medicare,” said Glen Xiong, Advisory Board Member for SafelyYou. “In residential care facilities, individuals with dementia fall, on average, four times per year and twice as often as other residents. Falls often go unwitnessed. Due to uncertainty regarding the seriousness of each fall, facility staff frequently activate local emergency medical teams to examine the residents, and such visits often result in emergency department visits.”
The study, supported in part by a National Institutes of Health, National Institute of Aging Small Business Innovation Research Grant, was conducted with enrolled participants on June 1 to Aug. 31, 2018. Fall incidents and outcomes were routinely recorded for facility residents, and facility staff reviewed the falls in real time, immediately after each incident, for study participants.
Among 147 falls in the control group, 52 (35.4%) resulted in EMT visits and 36 (24.5%) resulted in ED visits. In contrast, the intervention group had 83 falls, with 13 (15.7%) and seven (8.3%) resulting in EMT and ED visits, respectively. There were relative reductions of 75% in EMT visits and 80% in ED visits.
The AI-enabled camera fall detection system coupled with staff review of fall videos led to more accurate identification of serious falls and incidents compared with less serious falls, such as when a resident intentionally moved to the ground but did not fall.
“Using emergency services less frequently leads to lowered healthcare costs and stress for everyone,” said George Netscher, CEO of SafelyYou. “Speaking with families and hearing the testimonials is really the very best part of our day.”
Metadata.io Emerges as MarTech Force with Rapid Company Growth and Leader Position in G2 Crowd Summer 2019 Momentum Grid® Report for Account-based Execution
Metadata.io (https://www.metadata.io/), the AI-powered account-based advertising platform for predictable B2B lead generation, today announced it is fast rising as a leader in the MarTech industry based on customer satisfaction. As a second-place Leader in G2 Crowd’s Summer 2019 Momentum Grid® Report for Account-based Execution, Metadata helps CMOs deliver a qualified pipeline to sales organizations by generating a predictable flow of inbound MQLS from within their target accounts.
Metadata customers like Nutanix, Nexmo and others have repeatedly won awards for best performing campaigns on LinkedIn and Facebook. They are among a growing list of early adopters that are achieving the industry’s top benchmarks in customer acquisition and ROAs using Metadata.
See the full Summer 2019 Momentum Grid Report here: http://bit.ly/2xGyaA5
“Our ranking is 100 percent attributed to our sophisticated customer base who bravely adopted early AI technology and achieved great ROI multiplier through automation and experimentation,” said Gil Allouche, CEO of Metadata. “Together, we are transforming marketing operations with AI. With Metadata, B2B marketers gain unprecedented ROI from digital investment, in a more predicted, measured fashion.”
“Our investment with Metadata empowered us to automatically target and convert sales-qualified leads that not only impacted revenue, but completely automated and simplified the execution of our account-based campaigns,” said Rob Bethell, Marketing Manager at RStudio.
For the quarterly Grid Momentum Report, G2 Crowd rates products based on reviews gathered from the user community, as well as data aggregated from online sources and social networks. The Momentum Grid for Account-based Execution is based on scores calculated using the G2 Satisfaction algorithm and G2 Momentum algorithm from reviews collected through May 29, 2019. In the Summer 2019 momentum report, Metadata showed strong growth in reviews, social and web.
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