Lancaster University, University of Essex and University of Alberta researchers will look at how AI can both lead to, and reduce, unintentional bias in job advertising and recruitment. The researchers will work with industrial partners to understand and mitigate gender and ethnic bias within human resource processes. Sheffield University and Simon Fraser University will use a cross-disciplinary approach to detect and counter abusive language online. The UK government is considering regulating social media platforms, requiring them to address abusive language and hate speech through content moderation. This project aims to develop AI methods to detect automatically and counter abuse and hate speech online.
While the most sophisticated driverless cars on public roads can handle haboobs and rainstorms like champs, certain types of precipitation remain a challenge for them -- like snow. That's because snow covers cameras critical to those cars' self-awareness and tricks sensors into perceiving obstacles that aren't there, and because snow obscures road signs and other structures that normally serve as navigational landmarks. In an effort to spur on the development of cars capable of driving in wintry weather, startup Scale AI this week open-sourced Canadian Adverse Driving Conditions (CADC), a data set containing over 56,000 images in conditions including snow created with the University of Waterloo and the University of Toronto. While several corpora with snowy sensor samples have been released to date, including Linköping University's Automotive Multi-Sensor Dataset (AMUSE) and the Mapillary Vistas data set, Scale AI claims that CADC is the first to focus specifically on "real-world" driving in snowy weather. "Snow is hard to drive in -- as many drivers are well aware. But wintry conditions are especially hard for self-driving cars because of the way snow affects the critical hardware and AI algorithms that power them," wrote Scale AI CEO Alexandr Wang in a blog post.
One-day research workshops on the application of AI approaches to a dedicated area of research (e.g. Workshops may be held in any Canadian city, but must include participants from multiple research institutions (universities, research institutes, research hospitals). The goal of the workshop should be to identify opportunities for the application of AI to the specific domain of interest, identify emerging research opportunities and foster the development of new collaborations. Up to $20,000 of funding is available and applicants will be asked to provide a complete budget. CIFAR will provide some logistical support to workshop organizers (e.g.
This is Part 3 of a four-part series that breaks up a talk that I gave at the Toronto AI Meetup. In this video we go more in depth into an example of a common data science process, how convolutions work in convolutional neural networks, and finally how this can be done in the cloud using Azure Machine Learning. The AI Show's Favorite links: Don't miss new episodes, subscribe to the AI Show: https://aka.ms/aishowsubscribe
Artificial Intelligence these days has become a new key driver of economic growth. It is a significant field in technology right now. While several countries are racing towards AI supremacy, Canada is attracting the world's tech giants that are pouring mammoth amounts in the region. The country is currently in the midst of the AI boom as companies like Microsoft, Facebook, Google, Huawei, among others are spending huge capital on research hubs in Quebec, Ontario and Alberta. Canada is a world research leader and home to extraordinary AI-driven businesses, and has played a vital role in the advancement of AI.
At the G7 meeting in Montreal last year, Justin Trudeau told WIRED he would look into why more than 100 African artificial intelligence researchers had been barred from visiting that city to attend their field's most important annual event, the Neural Information Processing Systems conference, or NeurIPS. Now the same thing has happened again. More than a dozen AI researchers from African countries have been refused visas to attend this year's NeurIPS, to be held next month in Vancouver. This means an event that shapes the course of a technology with huge economic and social importance will have little input from a major portion of the world. The conference brings together thousands of researchers from top academic institutions and companies, for hundreds of talks, workshops, and side meetings at which new ideas and theories are hashed out.
The Canadian artificial intelligence (AI) industry has been growing fast, and the country has been aiming for more through massive AI research. There are signs all over that Canada is already having an AI-driven digital economy as cities are emerging as hubs for AI labs and deep learning research. There is an increase in the number of AI startups in cities such as Montreal, Vancouver, and Toronto, among others. Canada has become a breeding ground for AI innovations. Inc. (NASDAQ: AMZN), Intel Corp (NASDAQ: INTC), and Uber Technologies (NYSE: UBER) have invested significantly in AI research in the country.
A Regina-based tech startup says it's the first company to use artificial intelligence (AI) to detect leaks at oil wells and pump jacks. In the past, oil and gas companies have used staff to drive to oil wells to inspect them for any issues, such as leaks. One solution is using remote cameras to monitor oil wells, but it results in hundreds or thousands of photos being taken that have to be inspected by employees. Founded in 2018, Wave9 takes the arduous task of inspecting those photos and hands it off to AI. Cameras and sensors placed on pump jacks are processed by the software. The user can then be alerted to issues through apps that run on tablets and smartphones.
Researchers announced the breakthrough discovery of a new type of antibiotic compound that is capable of killing many types of harmful bacteria, including deadly antibiotic-resistant strains, and published their findings in Cell on February 20. What makes this remarkable is that the researchers, from the Massachusetts Institute of Technology (MIT), Harvard, and McMaster University, used machine learning (a form of artificial intelligence) to discover the new antibiotic--an achievement that heralds the disruption of traditional research and drug development processes deployed by pharmaceutical industry behemoths. Antibiotic resistance is a global threat that is exacerbated by the overuse of antibiotics in livestock, the proliferation of antimicrobials in consumer products, and over-prescription in health care. Though estimating the future impact is challenging, one report predicted that by 2050, 10 million deaths per year could result from antimicrobial-resistant (AMR) infections. Combating the problem of antimicrobial resistance requires bringing novel compounds to market.
Co-founder and chief strategy officer David Hunt says their technology allows farmers to see what is happening on their dairy "in high resolution in real time…without anyone needing to go into the barn." Based in California, Canada and Ireland, the company launched their first product in late January. Alus Nutrition focuses on "all things related to feed bunk management," according to portfolio growth lead Tyler Bramble. This includes when feed is delivered to cows or when the cows have cleaned out the feed and need more. Cainthus' smart cameras monitor cows, while their software interprets what the cameras see.