Machine learning helps scientists peer (a second) into the future

Journal Reference: Wendson A. S. Barbosa, Daniel J. Gauthier. Learning spatiotemporal chaos using next-generation reservoir computing. Chaos: An Interdisciplinary Journal of Nonlinear Science, 2022; 32 (9): 093137 DOI: 10.1063/5.0098707 Using a new type of machine learning method called next generation reservoir computing, researchers at The Ohio State University have recently found a new way to … Read more

Correcting peers is key in small-group learning

Journal Reference: Stephanie M. Halmo, Emily K. Bremers, Sammantha Fuller, Julie Dangremond Stanton. “Oh, that makes sense”: Social Metacognition in Small-Group Problem Solving. CBELife Sciences Education, 2022; 21 (3) DOI: 10.1187/cbe.22-01-0009 New research from the University of Georgia suggests that students who understand what they do and do not know, and who are willing to … Read more

Young kids avoid one learning trap that often snares adults

Journal Reference: Nathaniel J. Blanco, Brandon M. Turner, Vladimir M. Sloutsky. The benefits of immature cognitive control: How distributed attention guards against learning traps. Journal of Experimental Child Psychology, 2023; 226: 105548 DOI: 10.1016/j.jecp.2022.105548 A new study used eye-tracking technology to show that kids’ attention wandered all over a computer screen while they were trying … Read more

Machine learning generates 3D model from 2D pictures

Journal Reference: Renhao Liu, Yu Sun, Jiabei Zhu, Lei Tian, Ulugbek S. Kamilov. Recovery of continuous 3D refractive index maps from discrete intensity-only measurements using neural fields. Nature Machine Intelligence, 2022; DOI: 10.1038/s42256-022-00530-3 Their findings were published Sept. 16 in the journal Nature Machine Intelligence. “We train the model on the set of digital images … Read more

Machine learning gives glimpse of how a dog’s brain represents what it sees

Journal Reference: Erin M. Phillips, Kirsten D. Gillette, Daniel D. Dilks, Gregory S. Berns. Through a Dog’s Eyes: fMRI Decoding of Naturalistic Videos from the Dog Cortex. Journal of Visualized Experiments, 2022; (187) DOI: 10.3791/64442 The results suggest that dogs are more attuned to actions in their environment rather than to who or what is … Read more

Machine learning shows links between bacterial population growth and environment

Journal Reference: Honoka Aida, Takamasa Hashizume, Kazuha Ashino, Bei-Wen Ying. Machine learning-assisted discovery of growth decision elements by relating bacterial population dynamics to environmental diversity. eLife, 2022; 11 DOI: 10.7554/eLife.76846 The dynamics of microbe populations are usually represented by growth curves. Typically, three parameters taken from these curves are used to evaluate how microbial populations … Read more

Collaborative machine learning that preserves privacy

Federated learning is a collaborative method for training a machine-learning model that keeps sensitive user data private. Hundreds or thousands of users each train their own model using their own data on their own device. Then users transfer their models to a central server, which combines them to come up with a better model that … Read more

City digital twins help train deep learning models to separate building facades

Modern wind turbines can more than compensate for decline in

Journal Reference: Jiaxin Zhang, Tomohiro Fukuda, Nobuyoshi Yabuki. Automatic generation of synthetic datasets from a city digital twin for use in the instance segmentation of building facades. Journal of Computational Design and Engineering, 2022; DOI: 10.1093/jcde/qwac086 A convolutional neural network is a deep learning neural network designed for processing structured arrays of data such as … Read more

Can ‘random noise’ unlock our learning potential?

Journal Reference: Onno van der Groen, Weronika Potok, Nicole Wenderoth, Grace Edwards, Jason B. Mattingley, Dylan Edwards. Using noise for the better: The effects of transcranial random noise stimulation on the brain and behavior. Neuroscience & Biobehavioral Reviews, 2022; 138: 104702 DOI: 10.1016/j.neubiorev.2022.104702 Edith Cowan University (ECU) has investigated the effects of transcranial random noise … Read more

A novel approach to creating tailored odors and fragrances using machine learning

Modern wind turbines can more than compensate for decline in

Journal Reference: Daisuke Hasebe, Manuel Alexandre, Takamichi Nakamoto. Exploration of sensing data to realize intended odor impression using mass spectrum of odor mixture. PLOS ONE, 2022; 17 (8): e0273011 DOI: 10.1371/journal.pone.0273011 To tackle this issue, scientists from Tokyo Institute of Technology (Tokyo Tech) have employed the innovative strategy of solving the inverse problem. Instead of … Read more

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