Higher Education


Canadian Colleges Offer Machine Learning & Artificial Intelligence Courses

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Canada is continuing as one of the favorite abroad destinations for foreign students to study and newcomers to relocate from their home nation. Canada's openness to migration and favorable policies to foreign students makes it more favored among overseas students and aspirants. There are more famous universities & colleges in Canada which are immensely presenting world-class education to students and have been creating a higher number of graduates being successful in various fields! It is more clear that pursuing their education in Canada could make global students more successful. There are greater job openings after studying in Canada.


Canadian Colleges Offer Machine Learning & Artificial Intelligence Courses

#artificialintelligence

Canada is continuing as one of the favorite abroad destinations for foreign students to study and newcomers to relocate from their home nation. Canada's openness to migration and favorable policies to foreign students makes it more favored among overseas students and aspirants. There are more famous universities & colleges in Canada which are immensely presenting world-class education to students and have been creating a higher number of graduates being successful in various fields! It is more clear that pursuing their education in Canada could make global students more successful. There are greater job openings after studying in Canada.


Excavating AI

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There's an urban legend about the early days of machine vision, the subfield of artificial intelligence (AI) concerned with teaching machines to detect and interpret images. In 1966, Marvin Minsky was a young professor at MIT, making a name for himself in the emerging field of artificial intelligence.[1] Deciding that the ability to interpret images was a core feature of intelligence, Minsky turned to an undergraduate student, Gerald Sussman, and asked him to "spend the summer linking a camera to a computer and getting the computer to describe what it saw."[2] This became the Summer Vision Project.[3] Needless to say, the project of getting computers to "see" was much harder than anyone expected, and would take a lot longer than a single summer.


r/MachineLearning - [N] Google AI Research Division To Issue PhD Degrees

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MOUNTAIN VIEW, CALIFORNIA -- In a move that is completely unsurprising to many, Google's AI research division has announced that they are issuing PhD degrees to select employees. Industry research organizations like Google Brain, DeepMind, and FAIR are well known as heavy hitters in the artificial intelligence research community, publishing as many papers (if not more) as academic institutions like Stanford, Berkeley, and MIT. Many top professors from academia have migrated over to industry research labs as well, sacrificing the security of academic tenure for fat stacks of money. Although Google has previously experimented with research residencies, this is the first time that they have issued postgraduate degrees. According to a representative, the tech giant decided to issue PhDs in order to attract scarce AI talent.


The artificial intelligence factory, coming to an enterprise near you ZDNet

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For a number of years, industry thought leaders have been talking about the concept of the IT or software factory -- or software industrialization -- in which code is produced in an automated, building-block effect. It's debatable as to whether enterprises have been able to fully transform into software factories, but the idea of moving away from hand-crafted, one-at-a-time applications and services to something more scalable has merit. This involves "industrializing data gathering, analytics, and decision making to reinvent the core of the modern firm," write Marco Iansiti and Karim Lakhani, both Harvard University professors in their new book, Competing in the Age of AI. "The AI factory is the scalable decision engine that powers the digital operating model of the 21st century firm," they state. "Managerial decisions are increasingly embedded in software." The good news is "you don't have to be a Netflix to build an AI factory," they write.


Is Artificial Intelligence the Ultimate University Stimulus? - ReadWrite

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What does it take to make the university the best learning experience in the lifecycle of one's education? Higher education is all about developing skills, exploring new theories, and applying them to the actualities of real life. Throughout this journey, students are encouraged to stay on top of their workload, study, and complete assessments all while simultaneously leading a healthy, active, and balanced social life. The essential materials relied on at university include books, books, and more books. As we move into an age of digitalization of practically everything, there is a reason to believe that the existing higher education model should too be digitalized to allow for an enhanced university experience.


There's An Art To Artificial Intelligence

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The road to digital transformation is paved with AI. As hard as it is to believe, artificial intelligence (AI) was rarely mentioned in the discussions related to digital transformation that began almost a decade ago. Now, no mention of transformation would make sense without how AI is making it all possible. The intertwining of digital transformation and AI is the subject of an upcoming book by Marco Iansiti and Karim Lakhani, both Harvard University professors. In their new book, Competing in the Age of AI, they look at successful digitally savvy enterprises across the globe, and how they do things differently.


Using machine learning to understand climate change: Researchers find global ocean methane emissions dominated by shallow coastal waters

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To predict the impacts of human emissions, researchers need a complete picture of the atmosphere's methane cycle. They need to know the size of the inputs -- both natural and human -- as well as the outputs. They also need to know how long methane resides in the atmosphere. To help develop this understanding, Tom Weber, an assistant professor of earth and environmental sciences at the University of Rochester; undergraduate researcher Nicola Wiseman '18, now a graduate student at the University of California, Irvine; and their colleague Annette Kock at the GEOMAR Helmholtz Centre for Ocean Research in Germany, used data science to determine how much methane is emitted from the ocean into the atmosphere each year. Their results, published in the journal Nature Communications, fill a longstanding gap in methane cycle research and will help climate scientists better assess the extent of human perturbations.


Turning IT Upside Down In a Machine Learning World - insideBIGDATA

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In this special guest feature, Chris Heineken, CEO and Co-founder of Atrium, suggests that as Machine Learning (ML) is growing in the IT and cloud space, understanding how to best utilize its capabilities will change the approach to implementing new IT investments. As CEO of Atrium, Chris leads a world-class team in empowering companies to embrace the next generation of tech through the power of AI. Prior to founding Atrium, Chris was the COO at Appirio where he was responsible for leading the Company's global consulting, sales, and operations teams. Chris started his career with Accenture and later founded Bay Street Solutions, a CRM/Siebel consulting firm, acquired by Perficient. He earned his undergraduate degree from UC Davis and MBA from UC Berkeley.


Practical Automated Machine Learning on Azure: Using Azure Machine Learning to Quickly Build AI Solutions: Deepak Mukunthu, Parashar Shah, Wee Hyong Tok: 9781492055594: Amazon.com: Books

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I vividly remember my first undergraduate class in artificial intelligence (AI). My father had worked for years on "expert systems," and I was at MIT to learn from the best how to perform this wizardry. Marvin Minsky, one of the founders of the field, even taught a series of guest lectures there. It was about midway through the semester when the great disillusionment hit me: "It's all just a bunch of tricks!" There was no "intelligence" to be found; just a bunch of brittle rules engines and clever use of math.