Discovery of a structural class of antibiotics with explainable deep learning.
One of the challenges with deep learning (neural networks) is that although they find patterns the reasoning disappears into an endless detail of numbers. In this paper the researchers built an 'explainable' AI to discover antibiotics instead of such a 'black box'. "The discovery of novel structural...
Source: nature.com
Adaptive testing reduces collusion in online tests
“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
COVID-19 has transformed education – here are the 5 innovations we should keep
"Five changes made to higher education during COVID-19 will be beneficial afterwards, according to an expert, including more creative assessment methods." Whilst this is written from the perspective of university education this authentic, rich, and active learning approach can and should be applied to...
Source: weforum.org
Why Use Ensemble Learning? - Machine Learning Mastery: What are the Benefits of Ensemble Methods for Machine Learning? Ensembles
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
Learning to Summarize with Human Feedback: We've applied reinforcement learning from human feedback to train language models
Learning to Summarize with Human Feedback: We've applied reinforcement learning from human feedback to train language models that are better at summarization. Our models generate summaries that are better than summaries from 10x larger models trained only with supervised learning. Even though we train...
Source: openai.com
The new cultural norm: reasons why UK foundation doctors are choosing not to go straight into speciality training: The number
The new cultural norm: reasons why UK foundation doctors are choosing not to go straight into speciality training: The number of UK foundation doctors choosing to go straight into speciality training has fallen drastically over the last 10 years: We sought to explore and understand the reasons for...
Source: biomedcentral.com
Sustainable Open Access – What’s Next? - The Scholarly Kitchen: How can collective action models to support open access,
Sustainable Open Access – What’s Next? - The Scholarly Kitchen: How can collective action models to support open access, like Subscribe to Open, be applied to academic publishing? An interview with Raym Crow.
Source: sspnet.org
Letter to Cardiff University School of Medicine urging a review of 2020 student admissions
Just sent this to the undergraduate admissions team and the head of school at my old college. "To the admissions team Cardiff University School of Medicine. I write as an ex student of Cardiff School of Medicine having graduated in 1990. If you haven't already could I urge you to review all...
What would a Google AI engineer do with 30 years of their family video?
"30 years of family videos in an AI archive: As an Applied AI Engineer, I got down to business and built an AI-powered searchable archive of my family videos." Welcome to the future of home movies. Calling up memories rather than timestamps.
Source: blog.google
Simulation based education and expansive learning in health professional education: A discussion: The aim of this paper
Simulation based education and expansive learning in health professional education: A discussion: The aim of this paper is to discuss the application of Simulation Based Education (SBE) in nursing and wider health professional education. Simulated Learning (SL) is discussed in relation to its history,...
Source: journals.sfu.ca
What do Japanese residents learn from treating dying patients? The implications for training in end-of-life care: How medical
What do Japanese residents learn from treating dying patients? The implications for training in end-of-life care: How medical residents’ experiences with care for dying patients affect their emotional well-being, their learning outcomes, and the formation of their professional identities is not fully...
Source: biomedcentral.com
Python is the Growing Platform for Applied Machine Learning - Machine Learning Mastery: You should pick the right tool for
Python is the Growing Platform for Applied Machine Learning - Machine Learning Mastery: You should pick the right tool for the job. The specific predictive modeling problem that you are working on should dictate the specific programming language, libraries and even machine learning algorithms to use....
Source: machinelearningmastery.com
Chemicals did not help disperse BP’s oil spill, hurt oil-degrading micro-organisms – study: Chemical dispersants
Chemicals did not help disperse BP’s oil spill, hurt oil-degrading micro-organisms – study:
Chemical dispersants applied from a plane onto the Gulf of Mexico spill removed oil from the water’s surface but did not help fully degrade it, a new study claims. Scientists also found the dispersants...
Source: www.rt.com
Jeremy Hunt accused of suppressing evidence on benefits of 'sugar tax': Health select committee chair questioned whether
Jeremy Hunt accused of suppressing evidence on benefits of 'sugar tax': Health select committee chair questioned whether political pressure had been applied to Hunt to prevent the release of important documents
Source: theguardian.com
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