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) …
This course introduces the concepts of Artificial Intelligence and Machine learning. We'll discuss machine learning types and tasks, and machine learning algorithms. You'll explore Python as a popular programming language for machine learning solutions, including using some scientific ecosystem packages which will help you implement machine learning. Next, this course introduces the machine learning tools available in Microsoft Azure. We'll review standardized approaches to data analytics and you'll receive specific guidance on Microsoft's Team Data Science Approach.
Leptospirosis, a disease that dogs can get from drinking water contaminated with Leptospira bacteria, can cause kidney failure, liver disease and severe bleeding into the lungs. Early detection of the disease is crucial and may mean the difference between life and death. Veterinarians and researchers at the University of California, Davis, School of Veterinary Medicine have discovered a technique to predict leptospirosis in dogs through the use of artificial intelligence. After many months of testing various models, the team has developed one that outperformed traditional testing methods and provided accurate early detection of the disease. The groundbreaking discovery was published in the Journal of Veterinary Diagnostic Investigation.
The use of artificial intelligence in education is expected to explode to a worldwide market value of $6 billion over the next six years, with about 20 percent of that growth coming from applications for U.S. K-12 classrooms and consumers, according to a report by Global Market Insights. In fact, the U.S. education market combined--consisting of K-12, higher education and corporate training--represents more than half of that anticipated growth, reaching about $3.4 billion by 2024. Of that, about $1.2 billion is expected to come from K-12 uses, the Selbyville, Del.-based market research firm indicated. That's a far cry from where the nascent industry started. In 2017, artificial intelligence--broadly defined as the attempt to simulate intelligent behavior in computers that is similar to the functions of human behavior--accounted for more than $400 million among all education segments worldwide, including higher education and corporate training purposes, according to the study.
Lilt, the modern language service and technology provider, today announced it was named a winner in the Business Intelligence Group's Artificial Intelligence Excellence Awards program . Lilt's localization solution combines a community of the world's best professional translators with its AI-powered translation platform, bringing human-powered, technology-assisted translations to global enterprises like Intel, ASICS, Canva, DigitalOcean, WalkMe, and others. "As a language service and technology provider, our AI and machine learning platform enables our customers to provide their customers with a consistent global experience, regardless of what language they speak." With Lilt, companies go-to-market faster, grow global revenues, and provide a personalized global experience to their customers in their language of choice. Lilt brings human-powered, technology-assisted translations to global enterprises, empowering product, marketing, support, e-commerce, and localization teams to deliver exceptional customer experiences to global audiences.
Ecopia AI announced that it was selected by a Snap Inc. subsidiary to provide high-precision vector mapping data. Ecopia has proven their ability to deliver highly-accurate mapping data at a large-scale with unparalleled speed, said Snap, Inc subsidiary spokesperson. Ecopia leverages advanced AI-based mapping systems to mine the most up-to-date commercially-available geospatial imagery, accessed through its global partner network, outputting high-precision vector maps. For this initiative, Ecopia turned to Airbus for access to their global premium 30-50cm high-resolution imagery database, which is serving as the input imagery for large-scale map content production. "Ecopia has proven their ability to deliver highly-accurate mapping data at a large-scale with unparalleled speed," said Snap, Inc subsidiary spokesperson.
For more than 50 years, Davos, the annual meeting of the World Economic Forum, has been an important barometer of economic, political, social, and environmental issues affecting the future of the world. So, what topics are driving the agenda for Davos 2022? The global supply chain crisis has taken on a new meaning. As the pandemic spread rapidly in 2020 and lingered in 2021, the general consensus was that disruptions to the global supply chain would be temporary albeit costly. But in 2022, it is clear that fragile supply chain may exist in a perpetual state of disruption for quite some time. In fact, the global supply chain was always in a fragile state; the pandemic laid bare just how vulnerable it was all along.
This book is great for someone with a tech and Python background who wants to grow their career in ML or someone working in the machine learning domain aspiring to better understand the full ML lifecycle. Even if you are new to Python, the theories in the book are worth learning and the Python examples are complete and easy to run. David does a really great job of starting simple in the first section of the book with an explanation of AI and machine learning and different types of ML. From there, he goes into use cases of ML across different sectors. I enjoyed the labs in this portion of the book as a good tech refresher; [...]this section is comprehensive and gives you hands-on experience with automation and integrating many of the technologies you would need in your enterprise ML Platform. I felt this part of the book provides solid guidance covering all the key areas you need to understand to build an ML platform with examples and labs in each area. Overall, I was impressed with the writing throughout the book and the way it shows you the full picture from learning the basics to advanced topics in ML with accompanying labs. For anyone interested in becoming a machine learning solutions architect or looking to build skills for ML projects, this book is a must-read.
The computer algorithm, which was trained using mammography images from almost 29,000 women, was shown to be as effective as human radiologists in spotting cancer. At a time when health services around the world are stretched as they deal with long backlogs of patients following the pandemic, this sort of technology can help ease bottlenecks and improve treatment. For malaria, a handheld lab-on-a-chip molecular diagnostics systems developed with AI could revolutionize how the disease is detected in remote parts of Africa. The project, which is led by the Digital Diagnostics for Africa Network, brings together collaborators such as MinoHealth AI Labs in Ghana and Imperial's Global Development Hub. This technology could help pave the way for universal health coverage and push us towards achieving SDG3.