If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Abu Dhabi has announced the establishment of the Mohamed bin Zayed University of Artificial Intelligence (MBZUAI). Located in Masdar City, MBZUAI is a new graduate-level AI research institution that will enable graduate students, businesses, and governments to advance the artificial intelligence field. The University is named after Sheikh Mohamed bin Zayed Al Nahyan, Crown Prince of Abu Dhabi and Deputy Supreme Commander of the UAE Armed Forces, who has long advocated for the UAE's development of human capital through knowledge and scientific thinking to take the nation into the future. The AI University will introduce a new model of academia and research to the field of AI, providing students and faculty access to some of the world's most advanced AI systems to unleash its potential for economic and societal development. It will offer Master of Science, MSc, and PhD level programmes in key areas of AI – Machine Learning, Computer Vision, and Natural Language Processing – while also engaging policymakers and businesses around the world so that AI is harnessed responsibly as a force for positive transformation.
I've written several times about how the "economies of learning" are more powerful than the "economies of scale". Through a continuous learning and refinement process, organizations can simultaneously drive down marginal costs while accelerating time-to-value and de-risking projects via digital asset re-use and refinement (see Figure 1). Think about how us lowly humans learn. Whether trying to hit a golf ball or playing the piano or water skiing, we learn though the "feedback loop of failure". And the more real-time, immediate that feedback loop, the more quickly we can assess what we did wrong, adjust and then try again.
MIT's Ray and Maria Stata Center (Building 32), known for its striking outward appearance, is also designed to foster collaboration among the people inside. Sitting in the famous building's amphitheater on a brisk fall day, Kristy Carpenter smiles as she speaks enthusiastically about how interdisciplinary efforts between the fields of computer science and molecular biology are helping accelerate the process of drug discovery and design. Carpenter, an MIT senior with a joint major in both subjects, said she didn't want to specialize in only one or the other -- it's the intersection between both disciplines, and the application of that work to improving human health, that she finds compelling. "For me, to be really fulfilled in my work as a scientist, I want to have some tangible impact," she says. Carpenter explains that artificial intelligence, which can help compute the combinations of compounds that would be better for a particular drug, can reduce trial-and-error time and ideally quicken the process of designing new medicines.
The graph represents a network of 4,041 Twitter users whose tweets in the requested range contained "futureofwork ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 14 October 2019 at 01:34 UTC. The requested start date was Monday, 14 October 2019 at 00:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 5,000. The tweets in the network were tweeted over the 3-day, 8-hour, 54-minute period from Thursday, 10 October 2019 at 15:06 UTC to Monday, 14 October 2019 at 00:00 UTC.
UC Berkeley Assistant Professor Zachary Pardos and his team have developed a machine learning approach that promises to help more community college students position themselves to transfer and succeed at four-year colleges and universities. Along the way, they've discovered that considering course enrollment patterns -- or the classes that students take before, along with, and after a particular course -- can help provide a more complete picture of what courses should "count" when students transfer. Roughly 80% of community college students aim to continue their education at four-year institutions, but the vast majority never make the transfer. Contributing to the problem are the complexities of "articulation," or determining which course at one institution will count for credit at another. This entails assessing the similarity of thousands, or potentially even millions, of pairs of courses, an endeavor that's impossible to comprehensively achieve and keep current across all institutions manually.
With the evolution of AI understanding consumer behaviours, Higher Education Institutions and Universities are entering a new phase of Digital Marketing for student recruitment. Like other businesses, educators must embrace the changes and learn to leverage it in their marketing campaigns to stay competitive. Generating consistent sales is a common challenge for all types of businesses, and colleges or universities are no exception. In today's landscape, inbound marketing continues to lead the way. This includes videos, articles, and podcasts amplified through social media and email.
Shaun Patel has such a tranquil voice that it's easy to see how he convinces patients to let him experiment in the depth of their brains. On the phone, in his office at Massachusetts General Hospital (he is also on faculty at Harvard Medical School), the neuroscientist spoke about gray matter almost as if he were guiding me in meditation. Or perhaps that was just the heady effect of him detailing a paper he had just published in Brain, showing how, using implants on his patients, he could enhance learning by stimulating the caudate nucleus, which lies near the center of the brain.1 You have to time the electric pulse just right, he told me, based on the activity of certain neurons firing during an active learning phase of a game. A perfectly timed pulse could speed up how quickly his patients made the right associations.
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The UAE has set up an artificial intelligence university, claimed to be the first in the world, in Abu Dhabi. The Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) was inaugurated on October 17 and it offers courses for undergraduate students. It is also accepting applications for its first masters and PhD programmes this month, with classes scheduled to begin on September 20 next year. All admitted students will be given full scholarship plus benefits such as a monthly allowance, health insurance and accommodation. "AI is already changing the world, but we can achieve so much more if we allow the limitless imagination of the human mind to fully explore it. The university will bring the discipline of AI into the forefront, moulding and empowering creative pioneers who can lead us to a new AI-empowered era," said Sultan Ahmed Al Jaber, UAE Minister of State, who has been appointed Chair of the MBZUAI Board of Trustees and is spearheading the university's establishment.
Companies are increasingly discovering the beneficial link between machine learning and risk assessment. Machine learning can analyze variables faster than humans, helping businesses identify threats and address them. Successful applications exist in industries ranging from finance to health care. Risk management occurs when businesses forecast the things that could adversely affect their finances and assess how to minimize those threats. When companies excel at risk management, they're better able to plan for what could happen and determine how to respond if those situations occur.