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Artificial Intelligence

Government of Canada creates Advisory Council on Artificial Intelligence

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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 NemerCanada’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

Quotes

“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

Quick facts

  • 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 IsraelCanada and the other D9 member nations agreed on a shared approach to the responsible implementation and use of AI by governments.

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SOURCE Innovation, Science and Economic Development Canada

Artificial Intelligence

Siri Co-Founder Tom Gruber Joins Sherpa.ai as Strategic Advisor

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Sherpa.ai, one of the leading companies in predictive Digital Assistants and Artificial Intelligence, has announced today that Tom Gruber, co-founder and CTO of Siri, is joining the company as Strategic Advisor. Gruber will work with the Sherpa.ai team as they develop new AI-based features. As part of the agreement, Sherpa.ai is the only Digital Assistant company that he is advising.

Gruber’s incorporation implies a significant milestone for the Basque company, as he is considered to be one of the top experts in Artificial Intelligence and digital assistants, worldwide.

“The arrival of Tom Gruber to our company makes it clear that we are at the global forefront, in terms of Artificial Intelligence and digital assistants,” said Xabi Uribe-Etxebarria, founder and CEO of Sherpa.ai. “Sherpa’s mission is to augment and accelerate human potential through the application of personal AI and Tom’s experience and outlook are perfectly aligned with that mission.”

“I visited the company headquarters in Bilbao and I was impressed with their Artificial Intelligence technology. Among the Digital Assistant companies that I have seen, I am most excited by the Sherpa.ai product and team, that’s why I decided to join them,” added Tom Gruber.

Tom Gruber is a researcher, designer, and entrepreneur, with a focus on technology to augment human intelligence and well being. He was the co-founder and CTO of the team that created Siri, which was acquired by Apple in 2010. At Apple for over 8 years, Tom led the Advanced Development Group that designed and prototyped new capabilities for Siri and related products that bring intelligence to the interface.

Throughout his career, Gruber has applied Artificial Intelligence technology to support individual and collective human knowledge. He founded companies to support human collaboration and knowledge sharing, and his research at Stanford University laid the groundwork for the exchange of semantic information sharing and the Semantic Web.

Gruber will advise Sherpa.ai in the development the next of generation of digital assistant features, such as predictive and proactive personalization.

Sherpa.ai offers a white-label digital assistant, in relationships with major automobile manufacturers and telcos. It recently closed a $15 million round of financing to accelerate its growth.

Recently, Sherpa.ai launched important new products, like the Sherpa.ai Conversational OS platform, which allows the digital assistant technology to be integrated into any device, and the Sherpa.ai Predictive and Recommending Engine,through which companies can equip any product with predictive technology.

Additionally, in April, the company presented Sherpa News, a free news application based on Artificial Intelligence, available for Android and iOS, which completes the catalog of mobile applications, alongside Sherpa Assistant, the digital assistant that has been downloaded millions of times since its launch.

 

SOURCE Sherpa.ai

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Artificial Intelligence

Xpeng G3 achieves highest score among EVs in China’s latest C-NCAP safety test

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The Xpeng G3 2019 version obtained the highest total score of 92.2% among electric vehicles in the latest China New Car Assessment Program (C-NCAP) safety test, according to official results announced on 13 July.

The G3 smart EV SUV achieved a 5-star standard safety rating, and was among the first batch of new energy vehicles received 5-star rating by C-NCAP after it released new rules in line with international standards. C-NCAP released the new version of its regulations in 2018, adding safety evaluation standards for pure electric vehicles, and performance evaluations for active safety functions.

According to the official C-NCAP results, the G3 received 96.50% in passenger safety and 94.09% in active safety, both the highest rankings among electric vehicles in this latest safety evaluation by the Chinese authority.

In C-NCAP’s most stringent 64-kilometer offset collision, the G3 received the highest score of 19.758 among all types of vehicles. In addition, the G3’s active safety system has gone through over 3,000 hours of data acquisition. The road test for its automatic emergency braking function recorded zero malfunctions in every 150,000 km.

“The C-NCAP results are a strong endorsement of Xpeng’s in-house R&D, safety design and quality control capability,” said Xpeng Motors Chairman & CEO He Xiaopeng. “The new C-NCAP regulations are the most stringent yet for EVs, but the G3 has matched or exceeded these standards, rating it the safest electric vehicle in the China market.”

The G3’s comprehensive active and passive safety features are supported by its strong body architecture, with 70% of the vehicle body made of high-strength steel (including 6.7% ultra-high strength steel and 1500MPa 7.5% thermoformed steel), creating a rigid safety cage to withstand collisions from different directions. This architecture can quickly disperse collision forces through various nodes, effectively reducing locally concentrated force to help prevent the vehicle body crumpling in a collision.

During the R&D phase, Xpeng conducted five rounds of safety tests on the G3, including 63 vehicle collisions and 40 sliding tests to cover a full range of collision scenarios. The G3 also went through more than 1,000 structural optimization simulations in the R&D phase, taking more than 30,000 hours. Additionally, the G3 has the following active safety systems:

  • Forward collision warning (FCW)
  • Automatic emergency brake (AEB) with pedestrian protection
  • Lane departure warning (LDW)
  • Intelligent speed limit assist (SLA)
  • Blind spot detection (BSD)
  • Lane change alert (LCA)
  • Rear cross traffic alert (RCTA)
  • MSB electric seatbelt (with collision warning)

 

SOURCE XPENG Motors

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Artificial Intelligence

TVS Motor Singapore to Invest US$7 Million in Scienaptic Systems, an AI Powered Decision Platform

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TVS Motor (Singapore) Pte. Limited, a wholly-owned subsidiary of TVS Motor Company Limited, India, has signed definitive agreements to invest US$7 million in Scienaptic Systems Inc., a Delaware corporation, headquartered in New York City. TVS Motor (Singapore) Pte. Limited led this Series A funding in Scienaptic. The closing of the investment is subject to obtaining appropriate regulatory approvals.

Scienaptic has combined latest big data technologies and proprietary machine learning and artificial intelligence algorithms on its decision platform, “Ether.” Solutions built on Ether enable enterprises to improve risk and credit assessment, monitor evolving fraud patterns, and improve customer journeys and experience. Scienaptic counts several marquee Fortune 100 enterprises as its clients.

Rajesh Narasimhan, Board Member of TVS Motor Company and CEO of TVS Motor (Singapore), stated that, “We evaluated many companies providing big data analytics and risk management solutions and found Scienaptic’s product offerings and solutions with their ability to help organizations leverage actionable insights through the power of a strong analytics platform to be a clear differentiator and a unique proposition. Scienaptic’s end-to-end data analytics solution, with applicability to customers in various industries, has the potential to generate a new profit stream for our group. We are happy to invest in, and strategically partner with, Scienaptic as they continue to pursue bottom-line impact for Fortune 100 companies, and to leverage Scienaptic for our businesses. Our current investment in Scienaptic is part of the initial set of investments being made in strategically relevant digital startups.”

Pankaj Kulshreshtha, Founder & CEO of Scienaptic added, “We are witnessing the adoption of our AI platform at Fortune 100 companies. With the cutting edge instruments on our platform, companies are able to drive adoption of AI in their processes. The investment by TVS enables us to accelerate our sales and product development. We found a significant match in value systems between the two organizations and believe that our collective strengths will enable Scienaptic to grow exponentially and become a global leader in AI-powered decisioning space.”

 

SOURCE TVS Motor

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