Collaborating Authors


Angkor Wat was had up to 900,000 inhabitants before being abandoned in 1431 AD, study suggests

Daily Mail - Science & tech

The ancient Cambodian capital of Angkor Wat, had a staggering 900,000 inhabitants before it was abandoned in 1431, according to a new study. An international team, led by the University of British Columbia, examined three decades of data to create a demographic model of the Medieval city. Their model revealed that the capital of the long-gone Khmer Empire housed between 700,000 and 900,000 people during its zenith in the 13th century. According to the researchers this made it one of the largest premodern cities int he world, built up over several centuries of growth at different rates. The findings leverage more than 30 years of data to create the first model of demographic growth in this capital of the Khmer Empire.

Batter up! EA Sports gets back into baseball video games with 'Super Mega Baseball' studio deal

USATODAY - Tech Top Stories

EA Sports has made an acquisition that gets it back into baseball video games. The sports game division of Electronic Arts is adding to its lineup Metalhead Software, a Victoria, British Columbia, studio that makes Super Mega Baseball video games. "Super Mega Baseball 3," released in March 2020, has an arcade look, but "it's a really well-made game," EA Sports executive vice president and general manager Cam Weber told USA TODAY. It plays like a simulation under the hood. One of the largest video game publishers in the U.S., EA posted revenue of $5.5 billion in fiscal year 2020.

To speed discoveries, U of T lab launches free library of virtual, AI-calculated organic compounds


Alán Aspuru-Guzik's research group at the University of Toronto has launched an open-access tool that promises to accelerate the discovery of new chemical reactions that underpin the development of everything from smartphones to life-saving drugs. The free tool, called Kraken, is a library of virtual, machine-learning calculated organic compounds – roughly 300,000 of them, with 190 descriptors each. It was created through a collaboration between Aspuru-Guzik's Matter Lab, the Sigman Research Group at the University of Utah, Technische Universität Berlin, Karlsruhe Institute of Technology, Vector Institute for Artificial Intelligence, the Center for Computer Assisted Synthesis at the University of Notre Dame, IBM Research and AstraZeneca "The world has no time for science as usual," says Aspuru-Guzik, a professor in U of T's departments of chemistry and computer science in the Faculty of Arts & Science. "Neither for science done in a silo. "This is a collaborative effort to accelerate catalysis science that involves a very exciting team from academia and industry." When developing a transition-metal catalyzed chemical reaction, a chemist must find a suitable combination of metal and ligand. Despite the innovations in computer-optimized ligand design led by the Sigman group, ligands would typically be identified by trial and error in the lab. With Kraken, however, chemists will eventually have a vast data-rich collection at their fingertips, reducing the number of trials necessary to achieve optimal results. "It takes a long time, a lot of money, and a whole lot of human resources to discover, develop and understand new catalysts and chemical reactions." "These are some of the tools that allow molecular scientists to precisely develop materials and drugs, from the plastics in your smartphone to the probes that allowed for humanity to achieve the COVID-19 vaccines at an unforeseen pace.

Phillip Crawley: How AI helped Globe and Mail reach 170,000 digital subs


Phillip Crawley, the Englishman who runs Canadian national news title the Globe and Mail, is a newsroom executive of the old school. He has tales of working alongside Rupert Murdoch, sparring with Conrad Black, and editing the South China Morning Post during the 1989 Tiananmen Square protests. But Crawley, who also edited the Newcastle Journal between 1979 and 1987, has some strikingly new ideas about the future of journalism. "If you'd asked me ten years ago, I'd have said that newsrooms would be largely resistant to being told what to do by the machine," he tells Press Gazette in a phone interview. The'machine' he refers to is Sophi, an artificial intelligence (AI) programme developed by the G&M to drive up digital subscriptions.

Top 25 Machine Learning Startups To Watch In 2021 Based On Crunchbase


Throughout 2020, venture capital firms continued expanding into new global markets, with London, New York, Tel Aviv, Toronto, Boston, Seattle and Singapore startups receiving increased funding. Out of the 79 most popular A.I. & ML startup locations, 15 are in the San Francisco Bay Area, making that region home to 19% of startups who received funding in the last year. Israel's Tel Aviv region has 37 startups who received venture funding over the last year, including those launched in Herzliya, a region of the city known for its robust startup and entrepreneurial culture. Please see the Roundup Of Machine Learning Forecasts And Market Estimates, 2020 for additional market research on A.I. and machine learning. The following graphic compares the top 10 most popular locations for A.I. & ML startups globally based on Crunchbase data as of today: Augury – Augury combines real-time monitoring data from production machinery with AI and machine learning algorithms to determine machine health, asset performance management (APM) and predictive maintenance (PdM) to provide manufacturing companies with new insights into their operations.

How AI could boost GDP and help reduce greenhouse gas emissions


The application of AI technologies in four areas – agriculture, water, energy and transport – have the potential to increase global GDP by up to $5.2 trillion by 2030, according to a new report from Microsoft and Pricewaterhouse Coopers. That is an increase of 4.4% in global GDP over the next 11 years, relative to business as usual. At the same time, these technologies could reduce global greenhouse gas emissions by up to 4%. That is equivalent to the predicted 2030 annual emissions of Australia, Canada and Japan combined. This map shows where those changes could occur.

Complete Machine Learning & Data Science Bootcamp 2021


This is a brand new Machine Learning and Data Science course just launched and updated this month with the latest trends and skills for 2021! Become a complete Data Scientist and Machine Learning engineer! Join a live online community of 400,000 engineers and a course taught by industry experts that have actually worked for large companies in places like Silicon Valley and Toronto. Graduates of Andrei's courses are now working at Google, Tesla, Amazon, Apple, IBM, JP Morgan, Facebook, other top tech companies. You will go from zero to mastery!

Persuading the Body to Regenerate Its Limbs

The New Yorker

Each year, researchers from around the world gather at Neural Information Processing Systems, an artificial-intelligence conference, to discuss automated translation software, self-driving cars, and abstract mathematical questions. It was odd, therefore, when Michael Levin, a developmental biologist at Tufts University, gave a presentation at the 2018 conference, which was held in Montreal. Fifty-one, with light-green eyes and a dark beard that lend him a mischievous air, Levin studies how bodies grow, heal, and, in some cases, regenerate. He waited onstage while one of Facebook's A.I. researchers introduced him, to a packed exhibition hall, as a specialist in "computation in the medium of living systems." Levin began his talk, and a drawing of a worm appeared on the screen behind him.

'I was terrible at crosswords so I built an AI to do them'

BBC News

Michael Bowling, senior research scientist at DeepMind and professor of computing science at the University of Alberta, said of the win: "Congratulations to Dr Ginsburg and the Berkeley team. It's a terrific achievement and an inspiring collaboration, both seeing leading AI researchers combining forces, and seeing powerful AI building blocks of search and learning being employed together.

MS Society of Canada Grant to Support AI in Predicting Disease Course


The Multiple Sclerosis Society of Canada has awarded CA$1 million to a project helping doctors who treat multiple sclerosis (MS) patients make more personalized treatment decisions through the use of artificial intelligence (AI). The society awarded the five-year grant (worth about $814,800) to Douglas Arnold, MD, a neurologist with Neuro (the Montreal Neurological Institute-Hospital) at McGill University, with expertise in using magnetic resonance imaging (MRI) to assess MS and Alzheimer's disease. "We are entering a new era in which'Big Data' and increasing computer power are making it possible to develop artificial intelligence methods capable of predicting how individual MS patients will do in the future and how they will respond to specific treatments," Arnold said in a press release. "Clinicians cannot make such predictions at present," he added. "Integrating AI into the clinic will allow clinicians to adapt treatments to each individual patient's unique circumstances, to help ensure a better outcome."