Gatik Named one of Forbes Top 50 Artificial Intelligence Companies
26 April 2021
Original Article, A. Ohnsman and K. Cai, forbes.com, April 26, 2021 Covid-19 devastated some industries
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Original Article, A. Ohnsman and K. Cai, forbes.com, April 26, 2021 Covid-19 devastated some industries
Original Article, S. Wray, cities-today.com, March 3, 2021 As the COVID-19 pandemic has caused a
Original Article, gihub.org, April 16, 2021 Iris R&D Group was recently named a top 20
Original Article, vi-grade.com, April 21, 2021 VI-grade today announced that McMaster Automotive Resource Centre (MARC)
Original Article, A. Arora, N. Niese, E. Dreyer, A. Waas, and A. Xie, bcg.com, April
Original Article, businesswire.com, April 20, 2021 Velodyne Lidar, Inc. (Nasdaq: VLDR, VLDRW) today announced a
Original Article, C. Bruder, April 14, 2021 A new generation of social impact startups want
Supports helping to ensure Ontario remains a global leader in the connected and automated vehicle industry by supporting innovative pilot programs – like consulting on adding new vehicle types such as automated farm vehicles, and removing certain restrictions around modified automated vehicles
In this time of crisis, the auto industry can’t afford to ignore crucial technology trends. Our analysis of the mobility-investment landscape helps company leaders make smart decisions now.
All test data will be collected for research — and all personal details like faces and license plates will be obscured. Explanatory signs are posted near the cameras, but anyone with questions can check out the website at citm.ca/dtpr.
The purpose of this white paper is to provide a landscape of relevant industry alliances, consortia and other groups, while also highlighting the activities of key standards bodies, to provide
guidance to decision-makers from industry, as well as other stakeholders from the public sector about these activities.
Stakeholder engagement is a critical factor for a destination’s success. Technological and smart solutions will continue to be important for the future of travel, but the combination of technology and collaboration are the two prime factors that will lead to more responsible tourism management and an improvement of the touristic experience.
BlackBerry IVY Innovation Fund portfolio companies will also have access to up to $100,000 in Amazon Web Services (AWS) credits through AWS Activate, a program that has helped hundreds of thousands of early stage startups accelerate their growth and development. This includes access to the Activate Console, a self-service platform that connects startups to insights, technical guidance, and more to help them build their businesses.
Electric vehicles are expanding beyond the personal market into trucks, buses, and other forms of mobility. Discover the technological and design challenges that come with transforming manufacturing of internal combustion engine cars to EV.
Created in collaboration with and delivered by leading industry organizations, the CAV Talent Catalyst program will explore the foundations of CAVs, highlight up to date sensor technology and provide an overview of cybersecurity protocols; the program also provides the opportunity to connect with industry professionals.
The Ontario Centre of Innovation (OCI), formerly known as Ontario Centres of Excellence, is working with Ernst & Young (EY) as part of its Autonomous Vehicle Innovation Network (AVIN) initiative to conduct a labour market study for key segments of the automotive and mobility sector. As a part of this work, we are looking to understand current and expected trends in the automotive and mobility sector’s labour market, as well as key challenges faced by employers in finding quality talent. Findings from the survey will inform OCI’s work related to developing skills and talent strategy to support Ontario’s automotive and mobility sector.
The AVIN project will extend the core capabilities of Transoft’s automated road safety solutions to allow collision courses between road users to be predicted in real-time so that potential crashes can be detected in advance and avoided. And to further enhance the prediction accuracy and computation efficiency, AI will be moved from the cloud to the edge to accelerate advanced collision warning time for users. Additionally, by monitoring and understanding the patterns of these near-misses, a system for forecasting long-term safety problems will also be included. This data informs planners when allocating road safety budgets and solutions.
This analysis represents a snapshot of one specific operating environment. Should the promising results eventually extend beyond Chandler’s borders to more complex roads, broad safety goals may indeed be achieved.
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