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) …
Here are two sets of statements from far-distant opposites in the climate change debate. The first is from Naomi Klein, who in her book This Changes Everything paints a bleak picture of a global socioeconomic system gone wrong: "There is a direct and compelling relationship between the dominance of the values that are intimately tied to triumphant capitalism and the presence of anti-environment views and behaviors." The second is from Larry Bell, professor of architecture and climate skeptic, whom Klein quotes in her book. He argues that climate change "has little to do with the state of the environment and much to do with shackling capitalism and transforming the American way of life ...". Let us put aside whether we agree or disagree with these statements or are offended by them.
Understanding an emotion isn't as simple as noticing a smile-- but we still look to facial movements for everything from navigating everyday social interactions to the development of emotionally attuned artificial intelligence. According to a July 2019 study from researchers at Northeastern and the California Institute of Technology, facial expressions only reflect the surface of emotions: The culture, situation, and specific individual around a facial expression add nuance to the way a feeling is conveyed. For example, the researchers note that Olympic athletes who won medals only smiled when they knew they were being watched by an audience. While they were waiting behind the podium or facing away from people, they didn't smile (but were probably still happy). These results reinforce the idea that facial expressions aren't always reliable indicators of emotion.
Scientists have found eight more mysterious repeating radio bursts emanating from deep space, which more than quadruples the known number of signals from earlier this year. The new signals were found by the Canadian Hydrogen Intensity Mapping Experiment (CHIME) radio telescope, and give scientists a much broader data set that they hope may help finally unlock their origin. With the discovery, described in a paper submitted to The Astrophysical Journal Letters, the number of repeating radio bursts signals has climbed to 11. The new signals will aid scientists in their efforts to trace the origin and cause of mysterious radio bursts from deep space. According to Nature, the results of a separate observation from researchers in Australia have yet to be published, but bring the number of findings this month alone to nine total.
A revolutionary lightweight exosuit that makes walking and running easier has been developed. Scientists say their pioneering design - weighing just five kilos (11 lbs) - could be worn by soldiers, firefighters or rescue workers. They say it could help keep them fresh by lightening the load of their jobs and assist them in negotiating difficult terrain. The portable gear may also improve mobility and quality of life for the elderly and people suffering from neurodegenerative disorders. A revolutionary lightweight exosuit (pictured) that makes walking and running easier has been developed.
Road Watch 2.0 Vision Zero Pedestrian Deaths Project: Learn how an award-winning Richmond Hill and York Regional Police road safety Road Watch program is the base for a space age approach to make Toronto roads safer, as kicked off on the Global News 640 AM John Oakley Show. Hear a plan to make roads safer while mitigating climate through earth and Space LiDAR technology. Learn how road safety and climate change mitigation is combined in the Ethical AI Energy Cloud City master plan, a UN 17 Sustainable Development Goals Emerging Technology Framework to Unite Society. Dave D'Silva founded Intelligent Market Solutions Group (IMSG) to make good on a University of Waterloo pact with Bill Gates. IMSG is a socio-economic emerging technology project management firm creating Star Trek inspired Ethical AI systems.
Machine Learning Yearning is about structuring the development of machine learning projects. The book contains practical insights that are difficult to find somewhere else, in a format that is easy to share with teammates and collaborators. Most technical AI courses will explain to you how the different ML algorithms work under the hood, but this book teaches you how to actually use them. If you aspire to be a technical leader in AI, this book will help you on your way. Historically, the only way to learn how to make strategic decisions about AI projects was to participate in a graduate program or to gain experience working at a company.
Deep learning is a subset of machine learning, a branch of artificial intelligence that configures computers to perform tasks through experience. Deep learning, an advanced artificial intelligence technique, has become increasingly popular in the past few years, thanks to abundant data and increased computing power. It's the main technology behind many of the applications we use every day, including online language translation and automated face-tagging in social media. This technology has also proved useful in healthcare: Earlier this year, computer scientists at the Massachusetts Institute of Technology (MIT) used deep learning to create a new computer program for detecting breast cancer. Classic models had required engineers to manually define the rules and logic for detecting cancer, but for this new model, the scientists gave a deep-learning algorithm 90,000 full-resolution mammogram scans from 60,000 patients and let it find the common patterns between scans of patients who ended up with breast cancer and those who didn't.
Machine Learning, a recurrent and obvious topic in Science and Technology, will also radically change the way research is carried out in the Social Sciences and the Humanities in a near future. A close cooperation between SSH scholars and computer scientists could have a huge impact on both SSH and STEM (Science, Technology, Engineering and Mathematics) related research topics. On the one hand, social scientists and humanities scholars may not be able to design and implement themselves the machine learning algorithms they need for their research. The role of a linguist, a historian or a social scientist should be thus to help computer scientists outperform current machine learning models by offering them theoretical approaches both could adapt together to improve their accuracy. This conference, organised by the Social Sciences and Humanities Working Group of the Coimbra Group, will explore the practical possibilities Machine Learning offers to selected research fields within SSH, particularly linguistics, literature, musicology, and sociology.
File photo - M1A1 Abrams main battle tanks assigned to 3rd Battalion, 67th Armored Regiment, 2nd Armored Brigade Combat Team, 3rd Infantry Division stage prior to a tactical movement during Spartan Focus, at Fort Stewart, Ga. When dismounted U.S. Army infantry are attacking fortified enemy positions, taking hostile fire and moving quickly to find the best points for continued assault -- "battery life" can determine mission success or failure and even -- life or death. Units of forward positioned Army soldiers may not have quick access to battery recharging and may, therefore, depend entirely upon the functionality of their batteries - needed to power night vision, radios, small soldier-worn sensors, portable laptops for drone control and other combat-essential items. Without the requisite battery power to advance, soldiers might be forced to retreat or, of even greater consequence, become far more vulnerable to enemy fire. It goes without saying that attacking soldiers, especially those on the move on foot, need lightweight, electrically powered equipment for communications, data sharing, enemy tracking, targeting and some weaponry.
Last week, I reviewed Thomas Siebel's surprisingly good Digital Transformation: Survive and Thrive in an Era of Mass Extinction. The components that makeup Siebel's digital transformation are: cloud computing, big data, IoT (internet of things), and AI (artificial intelligence). In that review, I asked if any books examine the impact of these technologies on the future of higher ed? But maybe that is the wrong question. A better approach might be to ask: what are the academic analogs of each of the components of digital transformation?