Researchers are applying artificial intelligence and other techniques in the quest to forecast quakes in time to help people find safety.
Source: technologyreview.com
A machine-learning algorithm was able to tell which estate 80 Bordeaux red wines came from with 100 per cent accuracy by assessing their chemical signatures
Source: newscientist.com
Gabe Harp discusses MIT Press' 'Skill Exchange', a peer to peer program to foster learning and professional development.
Source: sspnet.org
Medical schools and students alike have had to adapt to remote cadaver dissections and bedside-manner training via Zoom.
Source: nytimes.com
“Rensselaer-developed method proven effective in reducing collusion among students”
“When a distanced online test is performed, students receive the same questions, but at varying times depending on their skill level. For instance, students of highest mastery levels receive each question after...
Source: rpi.edu
Last summer I blogged about using a Deep Neural Network to generate tweets but only used 3200 of my tweets. Since then I've used Twitter's archive mechanism to retrieve ALL my tweets (just over 30,000) to train a network. Not any old network - the GPT-2 model from OpenAI. This 'finetuning' of an existing...
Experiential learning takes many forms, but one form has proven particularly potent: Active learning is more effective than explaining content.
Source: trainingindustry.com
"Snapask App instantly matches students with tutors to answer difficult questions! Download and ask for free! Whether it is Primary or Secondary subjects (Malay, English, Mathematics, Phy, Chem, Bio) homework questions can be asked, and the tutor will reply instantly!" Snap a photo of your homework and...
Source: snapask.com
‘Warming up’ the screen needs to become a priority for educators, especially for video-based tutorials and seminars, says Lucinda McKnight
Source: timeshighereducation.com
Machine learning meets African agriculture: Developers using TensorFlow to fight crop pests in Uganda. Meet Nazirini one of the developers.
Source: blog.google
Why Use Ensemble Learning? - Machine Learning Mastery: What are the Benefits of Ensemble Methods for Machine Learning?
Ensembles are predictive models that combine predictions from two or more other models.
Ensemble learning methods are popular and the go-to technique when the best performance on...
Source: machinelearningmastery.com
Using Machine Learning to Detect Deficient Coverage in Colonoscopy Screenings: Posted by Daniel Freedman and Ehud Rivlin, Research Scientists, Google Health "In “Detecting Deficient Coverage in Colonoscopies”, we introduce the Colonoscopy Coverage Deficiency via Depth algorithm, or C2D2, a machine...
Source: googleblog.com
Comparison of E-Learning, M-Learning and Game-based Learning in Programming Education – A Gendered Analysis: Learning to code is considered as a difficult and challenging task for a significant number of novice programmers in programming education. Novice programmers have to acquire different skills...
Source: online-journals.org
Student Performance on an E-Learning Platform: Mixed Method Approach: E-learning is considered a leading application of digital technologies in educational systems. The aim of the paper is to explore the utilization and impact of digital technologies on an e-learning platform. For this purpose, research...
Source: online-journals.org
Archaeologists found 143 more images among the Nazca Lines: The team used a machine-learning algorithm to search aerial photos for geoglyphs.
Source: arstechnica.com
Drugmaker to Test Machine Learning to Prevent Drug Shortages: Germany-based Merck plans to use analytics and machine learning to predict and prevent drug shortages, a move that could also save it money.
Source: wsj.com
"5 Features of Modern Workplace Learning - Modern Workplace Learning 2020: There is a big mismatch between how individuals acquire new knowledge and skills and what they value (discovery, discourse and doing), and what organisations focus on and value (didactics). Modern Workplace Learning (MWL) is an...
Source: modernworkplacelearning.com
14 Different Types of Learning in Machine Learning: Machine learning is a large field of study that overlaps with and inherits ideas from many related fields such as artificial intelligence. The focus of the field is learning, that is, acquiring skills or knowledge from experience. Most commonly, this...
Source: machinelearningmastery.com
Teaching a difficult topic using a problem-based concept resembling a computer game: development and evaluation of an e-learning application for medical molecular genetics: E-learning through serious gaming. Teaching concepts such as genetic testing and the digital literacy required to analyse data can...
Source: biomedcentral.com
A Gentle Introduction to Joint, Marginal, and Conditional Probability: Probability quantifies the uncertainty of the outcomes of a random variable. It is relatively easy to understand and compute the probability for a single variable. Nevertheless, in machine learning, we often have many random variables...
Source: machinelearningmastery.com