The phrase "overcoming the odds" is an understatement for 24-year-old Joshua Burgess. Though born with congenital rubella syndrome, which has caused him to suffer from a number of health challenges over the years, he continues to break barriers. On September 28, Burgess participated in the prestigious UNESCO Information for All Programme's (IFAP) Second Artificial Intelligence for Information Accessibility (AI4IA) Conference, where he spoke about'Openness and Inclusivity for the Disabled Community in a New Era'. "My presentation reflected my views as a young, blind Jamaican also living with chronic hearing loss. It was important for me to note that, while I have benefited from artificial intelligence's (AI) ability to help me integrate into society, it is also important for us to recognise that it is not a one-size-fits-all. We must collaborate with key stakeholders to ensure openness, inclusivity, fairness, and accessibility for everyone," said Burgess.
Ryan Ahmed is a best-selling Udemy instructor who is passionate about education and technology. Ryan's mission is to make quality education accessible and affordable to everyone. Ryan holds a Ph.D. degree in Mechanical Engineering from McMaster* University, with focus on Mechatronics and Electric Vehicle (EV) control. He also received a Master's of Applied Science degree from McMaster, with focus on Artificial Intelligence (AI) and fault detection and an MBA in Finance from the DeGroote School of Business. Ryan held several engineering positions at Fortune 500 companies globally such as Samsung America and Fiat-Chrysler Automobiles (FCA) Canada.
Open Junior Data Analyst Jobs Open Machine Learning Scientist Jobs Open Sr. Machine Learning Engineer Jobs Open Data Architect Jobs Open Data Analytics Manager Jobs Open Data Engineer - Toronto Hub Jobs Open Data Scientist, Machine Learning Jobs Open Data Science Manager Jobs Open Manager, Data Engineering Jobs Open Head of Data Science Jobs Open Senior Software Engineer, Machine Learning Jobs Open Applied Data Scientist - B2B Sales Incrementality Jobs Open Data Science Intern Jobs Open Data Analyst II Jobs Open Data Analyst Intern Jobs Open Lead Data Analyst Jobs Open Data Scientist (Remote) Jobs Open Business Data Analyst Jobs Open Data Engineer: Data Integration Jobs Open Senior Data Analyst (Bangkok Based, relocation provided) Jobs Open Senior Software Engineer - Machine Learning - Toronto Hub Jobs Open Data Engineer - New York Hub Jobs Open Financial Data Analyst Jobs Open Sr. Data Analyst Jobs Open Staff Data Scientist Jobs
Jordan Lemos, a writer for video games, has lived in three different cities over the past five years. He moved from Los Angeles to Quebec to Seattle -- working on blockbusters such as Assassin's Creed Odyssey and Ghost of Tsushima -- because the jobs required it. So when he was looking for a new gig last year, he told prospective employers he wasn't going to do it again. He would only work remotely. Several big game companies were quick to say no once they heard his ultimatum.
The technology behind self-driving cars has been racing ahead – and as long as they are cruising along familiar streets, seeing familiar sights, they do very well. But the University of Toronto's Florian Shkurti says that when driverless vehicles encounter something unexpected, all that progress can come screeching to a halt. He offers the example of a self-driving car that is following a large truck on a winter road. "There's a wind gust – and now the snow is coming at you, so you can't see anything," says Shkurti, an assistant professor in the department of mathematical and computational sciences at U of T Mississauga who runs the Robot Vision and Learning (RVL) lab. "And suppose your LIDAR (light detection and ranging system) misperceives the snow as an array of objects, so it thinks there are a million small objects coming at the car."
Thales has launched Season 3 of AI@Centech, a business accelerator designed to help artificial-intelligence focused startups tackle real-world problems. Thales selected five international startups in early August out of a pool of more than 200 potential competitors from around the world. The search for qualified startups began in February when the program published challenges ranging from how to more efficiently use AI to manage satellites to applying augmented cognition to improve human decision-making. The selected startups will work closely with Thales business coaches and AI experts who will advise them on critical skills such as fundraising, product enhancement, design, visibility, proof-of-concept, and market access. Season 3 of AI@Centech follows last year's successful second season of the program, which resulted in many achievements such as Thales and MyDataModels winning a bid with the municipality of Nice Côte d'Azur, France for underwater threat detection.
In one song by English pop band Busted, 'not much has changed' by the year 3000, 'but they live underwater'. If carbon dioxide emissions continue to rise, the Amazon will be barren, the American Midwest tropical and India too hot to live in come the year 2500. This is the gloomy warning of a research team led from Canada's McGill University who modelled future climates under three greenhouse gas mitigation scenarios. They then illustrated their worst case scenarios -- alongside sketches of life in the year 1500 AD and the present -- to highlight how alien the future Earth could be. The findings, they said, highlight the importance of not stopping climate predictions at the 2100 benchmark, as is common, but also considering the ongoing impacts.
Dedicated exclusively to children and their families, The Hospital for Sick Children (SickKids Hospital) is one of the largest and most respected paediatric healthcare centres in the world. As innovators in child health, we lead and partner to improve the health of children through the integration of healthcare, leading-edge research and education. Our reputation would not have been built – nor could it be maintained – without the skills, knowledge and experience of the extraordinary people who come to work here every day. SickKids is committed to ongoing learning and development and features a caring and supportive work environment that combines exceptionally high standards of practice. When you join SickKids, you become part of our community.
EDITOR'S NOTE: This is the first of Automotive News Canada's two-part look into artificial intelligence in the Canadian auto industry. Scanning an employee badge at a Martinrea International Inc. plant is no longer reserved for the front gates. Today, operators swipe into assembly equipment with their keycards, logging details about how well they have been trained, their experience on the machines and what output level they can achieve. Sifting through the evolving stream of data using artificial intelligence (AI) helps match the right operator to the right machine, said Ganesh Iyer, chief technology officer at the Toronto-based supplier. The process is one in a growing arsenal of AI tools aimed at improving speed and precision at automakers and parts suppliers.