Collaborating Authors


Boston Dynamics' robot dog takes an 'evening stroll' in Canada


Last week a lot of people got their first taste of an in-the-wild encounter between organic human life and one of Boston Dynamics' advanced robots. In Northern Ontario, Canada @bloodtear noticed the Spot robot walking down the street and had an encounter that wouldn't have been odd if it had been with a real dog instead of a robot copy. After their brief interaction flashed across social media and made a few headlines, Boston Dynamics issued a statement about the interaction. According to the company, the robot was on an "evening stroll" with a handler who was "conducting routine mobility tests," and Nathan explained in other tweets that the operator was following behind with a remote control We're still waiting to see more real-world applications for the company's various robotic ventures, but now that they're on sale, you can expect to see more people bumping into these devices going forward.

This interactive VR 'film' lets you play god to an evolving artificial intelligence


If you could play god to an emerging artificial intelligence, would you? That's the moral dilemma at the heart of Agence, an interactive "dynamic film" that blends virtual reality, gaming, and cinematic storytelling to let audiences influence a handful of evolving, three-legged AI creatures, known as agents. The project, which recently debuted at the Venice International Film Festival, is a co-production between Toronto-based indie studio Transitional Forms and the National Film Board (NFB) of Canada. Think of it as Tamagotchi for the 2020s, but with real consequences on the development of digital life. "I think the core artistic vision of this is to cause people to question humans' role in artificial intelligence," says Pietro Gagliano, creator of Agence and founder of Transitional Forms, "both in its creation and interaction right now. These are virtually living creatures that are learning. This is a moment that I hope that we look back on in time as, you know, we made the right choices. And we decided to empathize with these creatures that didn't ask to be born."

Applications of Artificial Intelligence in Canadian Industries


Artificial intelligence (AI) involves the simulation of human intelligence through programming machines or creating software to think similar to humans and mimic their actions. In other words, AI research seeks to develop technology that is capable of learning and problem solving the same way that a human would. Though the idea itself can be traced back to antiquity, AI has become increasingly popular in recent years, with ever-evolving applications across many Canadian industries. To this end, read on for IBISWorld's evaluation of how two up-and-coming ventures have the potential to affect the operations of different industries in Canada. In London, ON, a new AI tool called the Chronic Homelessness Artificial Intelligence model (CHAI) analyzes points, such as age, gender, family and shelter history, to assess the chance that a particular individual will become chronically homeless over the next six months.

[D] Non-US research groups working on Deep Learning?


Almost every group on earth is working on'deep learning' in some form. In Canada there are the big three research units: MILA at Montreal, Vector at Toronto, AMII at Edmonton. Both MILA and Vector have several research groups/universities affiliated to them in Quebec and Ontario respectively. Weirdly folks at UBC are also affiliated with Vector. AMII is mostly University of Alberta.

Machine Learning Engineering Manager (Growth), Cash App


Cash App is the fastest growing financial brand in the world. Built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic money app with over 30 million active monthly users. Loved by customers and by pop culture, we've held the #1 spot in finance on the App Store for almost two years, and our social media posts see more engagement in a day than most financial brands see in a year. With major offices in San Francisco, New York, St. Louis, Portland, Kitchener-Waterloo, Toronto and Melbourne, Cash App is bringing a better way to send, spend, and save to anyone who has ever sought an alternative to today's banking system.

GoldSpot Discoveries Corp. to Apply Machine Learning on Cerrado Gold Inc.'s Minera Don Nicolas Project


Toronto, Ontario--(Newsfile Corp. - September 16, 2020) - GoldSpot Discoveries Corp. (TSXV: SPOT) (the "Company" or "GoldSpot") has been engaged by Cerrado Gold Inc. ("Cerrado") to apply machine learning and its proprietary data science expertise to identify new exploration targets on Cerrado's Minera Don Nicolas (MDN) project, located in Santa Cruz, Argentina. In its analysis, GoldSpot will work with Cerrado's technical team to integrate and analyze geological and remote sensing data available in the area. The process will explore the potential for gold mineralization within the MDN properties, to produce GoldSpot Smart Targets which fuse geoscience knowledge with data science insights. "Minera Don Nicolas is in the mineral and data rich Deseado Massif, an area where GoldSpot is having significant success, particularly at Yamana Gold's Cerro Moro project. MDN has robust property-wide datasets and we look forward to supporting Cerrado's technical team and advancing exploration efforts. The project has significant potential with a land package of more than 273,000 hectares," stated Denis Laviolette, Executive Chairman and President of GoldSpot Discoveries.

Complete Python Developer in 2020: Zero to Mastery


Become a professional Python Developer and get hired Master modern Python 3 fundamentals as well as advanced topics Learn Object Oriented Programming Learn Function Programming Build 12 real world Python projects you can show off Learn how to use Python in Web Development Learn Machine Learning with Python Build a Machine Learning Model Learn Data Science - Analyze and Visualize Data Build a professional Portfolio Website Use Python to process: Images, CSVs, PDFs, and other Files Build a Web Scraper with Python and BeautifulSoup Use Python to send Emails and SMS Use Python to build a Twitter bot Learn to Test, Debug and Handle Errors in your Python programs Learn best practices to write clean, performant, and bug free code Learn to use Selenium and Python in Automation Set up a professional workspace with Jupyter Notebooks, PyCharm, VS Code more Become a complete Python developer! Join a live online community of over 150,000 developers and a course taught by an industry expert that has actually worked both in Silicon Valley and Toronto. This is a brand new Python course just launched September 2019! Graduates of Andrei's courses are now working at Google, Amazon, Apple, IBM, JP Morgan, Facebook, other top tech companies.Learn Python from scratch, get hired, and have fun along the way with the most modern, up-to-date Python course on Udemy (we use the latest version of Python). This course is focused on efficiency: never spend time on confusing, out of date, incomplete Python tutorials anymore.

Artificial intelligence helps researchers up-cycle waste carbon - Express Computer


Researchers at University of Toronto Engineering and Carnegie Mellon University are using artificial intelligence (AI) to accelerate progress in transforming waste carbon into a commercially valuable product with record efficiency. They leveraged AI to speed up the search for the key material in a new catalyst that converts carbon dioxide (CO2) into ethylene -- a chemical precursor to a wide range of products, from plastics to dish detergent. The resulting electrocatalyst is the most efficient in its class. If run using wind or solar power, the system also provides an efficient way to store electricity from these renewable but intermittent sources. "Using clean electricity to convert CO2 into ethylene, which has a $60 billion global market, can improve the economics of both carbon capture and clean energy storage," says Professor Ted Sargent, one of the senior authors on a new paper published today in Nature.

Recipe for selling software in a pandemic: Be essential, add some machine learning, and focus, focus, focus


Sales of software programs are already being affected by the pandemic, as seen this week in the disappointing results of Slack Technologies, makers of the popular program for team collaboration. It turns out, when companies are cutting staff, they have less need for such programs. But it turns out there is a way for a nimble software maker to thrive in the current era, namely, by bringing valuable tools to very specific parts of the market. Such is the case for thirty-year-old software vendor Prophix, based just outside of Toronto, Ontario, in Mississauga. The company sells software for the finance department of mid-sized companies for evaluating financial data and performing forecasting.

This artist used machine learning to create realistic portraits of Roman emperors


Some people have spent their quarantine downtime baking sourdough bread. But others -- namely Toronto-based artist Daniel Voshart -- have created painstaking portraits of all 54 Roman emperors of the Principate period, which spanned from 27 BC to 285 AD. The portraits help people visualize what the Roman emperors would have looked like when they were alive. Included are Voshart's best artistic guesses of the faces of emperors Augustus, Nero, Caligula, Marcus Aurelius and Claudius, among others. They don't look particularly heroic or epic -- rather, they look like regular people, with craggy foreheads, receding hairlines and bags under their eyes. To make the portraits, Voshart used a design software called Artbreeder, which relies on a kind of artificial intelligence called generative adversarial networks (GANs).