Researchers from U of T Engineering and Carnegie Mellon University are using electrolyzers like this one to convert waste CO2 into commercially valuable chemicals. Their latest catalyst, designed in part through the use of AI, is the most efficient in its class. Credit: Daria Perevezentsev / University of Toronto Engineering 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.
The partnership launched Thursday after a virtual meeting between national technology ministers. It was nearly two years after the leaders of Canada and France announced they were forming a group to guide the responsible adoption of AI based on shared principles of "human rights, inclusion, diversity, innovation and economic growth."
Apple Inc. bought machine-learning startup Inductiv Inc., adding to more than a dozen AI-related acquisitions by the technology giant in the past few years. The engineering team from Waterloo, Ontario-based Inductiv joined Apple in recent weeks to work on Siri, machine learning and data science. Apple confirmed the deal, saying it "buys smaller technology companies from time to time and we generally do not discuss our purpose or plans." Inductiv developed technology that uses artificial intelligence to automate the task of identifying and correcting errors in data. Having clean data is important for machine learning, a popular and powerful type of AI that helps software improve with less human intervention.
Apple is continuing its string of AI startup acquisitions, this time to improve Siri's performance. The company has confirmed to Bloomberg that it recently acquired Inductiv, a Waterloo, Ontario, Canada-based company that uses AI to correct data -- which, in turn, improves machine learning. The company didn't elaborate on its plans and relied on its standard response that it "buys smaller technology companies from time to time," but Siri appears to be the focus. The iPhone maker appears to be focused on improving its voice assistant's understanding as of late, most recently acquiring Voysis to boost natural language comprehension. Cleaner data would go a long way toward that goal by reducing the chances that garbage information confuses Siri.
A truly kick-ass videogame combines clever code, gorgeous graphics, and artful animation--plus thousands of hours of hard work. Researchers at Electronic Arts--the company behind FIFA, Madden, and other popular games--are testing recent advances in artificial intelligence as a way to speed the development process and make games more lifelike. And in a neat twist, the researchers are harnessing an AI technique that proved itself by playing some of the earliest console videogames. A team from EA and the University of British Columbia in Vancouver is using a technique called reinforcement learning, which is loosely inspired by the way animals learn in response to positive and negative feedback, to automatically animate humanoid characters. "The results are very, very promising," says Fabio Zinno, a senior software engineer at Electronic Arts.
Artificial intelligence (AI) is one of the fast-growing industries in the world today, and there are several Canadian AI stocks already making a name for themselves in the sector. The industry has attracted attention from all sectors, and most companies are investing significantly in AI owing to the promise of bug returns going forward. Almost every company is now adopting AI, with over 80% of enterprises believing that AI will help them in sustaining or obtaining a competitive advantage. AI is becoming the tech everybody wants to adopt to help them grow profits and compete. Some Canadian AI stocks have already shown potential and taken the lead.
Researchers from U of T Engineering and Carnegie Mellon University are using electrolyzers like this one to convert waste CO2 into commercially valuable chemicals. Their latest catalyst, designed in part through the use of AI, is the most efficient in its class. 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.
A team of researchers hailing from Harvard and Université de Montréal today launched Epitopes.world, It's built atop an algorithm -- CAMAP -- that generates predictions for potential vaccine targets, enabling researchers to identify which parts of the virus are more likely to be exposed at the surface (epitopes) of infected cells. Project lead Dr. Tariq Daouda, who worked alongside doctorates in machine learning, immunobiologists, and bioinformaticians to build Epitopes.world, Fewer than 12% of all drugs entering clinical trials end up in pharmacies, and it takes at least 10 years for medicines to complete the journey from discovery to the marketplace. Clinical trials alone take six to seven years, on average, putting the cost of R&D at roughly $2.6 billion, according to the Pharmaceutical Research and Manufacturers of America.
Before and even more so now during the pandemic, CIOs and IT leaders are managing new capacity increases, security demands, and, in some cases critical, life-saving applications. It is essential how optimized technological performance enables the digital applications that power daily lives. AppDynamics, a Cisco company, helps companies around the world power their complex multi-cloud environments, through application performance management (APM) and Artificial Intelligence for IT operations (AIOps). I asked Luke Rogers, Area VP, Canada, AppDynamics, how COVID-19 has impacted businesses. "The COVID-19 pandemic has transformed our everyday interactions and how companies operate," replied Rogers.
On New Year's Eve of last year, the artificial intelligence platform BlueDot picked up an anomaly. It registered a cluster of unusual pneumonia cases in Wuhan, China. BlueDot, based in Toronto, Canada, uses natural language processing and machine learning to track, locate, and report on infectious disease spread. It sends out its alerts to a variety of clients, including health care, government, business, and public health bodies. It had spotted what would come to be known as Covid-19, nine days before the World Health Organization released its statement alerting people to the emergence of a novel coronavirus.