Machine learning identifies drugs that could potentially help smokers quit
HERSHEY, Pa. — Medications like dextromethorphan, used to treat coughs caused by cold and flu, could potentially be repurposed to ...
Tag: learning
Will machine learning help us find extraterrestrial life?
January 30, 2023, Mountain View, CA – When pondering the probability of discovering technologically advanced extraterrestrial life, the question that ...
Is brain learning weaker than artificial Intelligence?
Traditionally, artificial intelligence stems from human brain dynamics. However, brain learning is restricted in a number of significant aspects compared ...
Development, validation of a deep learning algorithm to differentiate colon carcinoma from diverticulitis in CT images
About The Study: The results of this study suggest that a deep learning model able to distinguish colon carcinoma and ...
UCD and Northeastern University sign formal partnership agreement to strengthen research and learning collaboration
Northeastern University (NU) has signed a Memorandum of Understanding (MoU) to establish a formal partnership with University College Dublin (UCD) ...
Nature Medicine publishes breakthrough Owkin research on the first ever use of federated learning to train deep learning models on multiple hospitals’ histopathology data
In research published in Nature Medicine today, AI biotech company Owkin has demonstrated for the first time that federated learning ...
Columbia Mailman School of Public Health teams up with American University of Beirut to study effect of late life learning on cognition and aging
January 19, 2023-- The National Health Institute (NIH) has awarded Columbia University Mailman School of Public Health and The American University ...
Using machine learning to predict brain tumor progression
Researchers at the University of Waterloo have created a computational model to predict the growth of deadly brain tumours more ...
Machine learning method improves cell identity understanding
When genes are activated and expressed, they show patterns in cells that are similar in type and function across tissues ...
Using machine learning to help monitor climate-induced hazards
CHICAGO – Combining satellite technology with machine learning may allow scientists to better track and prepare for climate-induced natural hazards, ...
NCCR MARVEL, CECAM support new ELLIS program on Machine Learning for Molecule Discovery
A team of researchers including NCCR MARVEL’s Michele Ceriotti, EPFL professor and head of the School of Engineering’s Laboratory of ...
A new approach to automatically tune the resource configurations for streaming data processing systems using machine learning
Data can be likened to a stream of water when a large amount of data is generated continuously. A variety ...
University of Toronto scientists use machine learning to fast-track drug formulation development
TORONTO, January 10, 2023 – Scientists at the University of Toronto have successfully tested the use of machine learning models ...
NPIPVis: A visualization system involving NBA visual analysis and integrated learning model prediction
The National Basketball Association (NBA) is considered the world’s premier professional basketball league for men, and it records massive amounts ...
Poor glycemic control in patients with type 2 diabetes can be predicted from patient information systems with the help of machine learning
The risk for poor glycemic control in patients with type 2 diabetes can be predicted with confidence by using machine ...
Using machine learning to forecast amine emissions
Global warming is partly due to the vast amount of carbon dioxide that we release, mostly from power generation and ...
Leveraging machine learning to help predict ship exhaust gas emissions
Ships are a major means of commercial transport, contributing to 80% of global goods and energy trade. However, they emit ...
DGIST Professor Hwang Jae-yoon’s team writes letters with ultrasonic beam! Develops deep learning based real-time ultrasonic hologram generation technology
□ DGIST (President: Kuk Yang) Department of Electrical Engineering and Computer Science Professor Hwang Jae-yoon's team developed a 'deep learning-based ...
Finding hidden regularities in nature: JAIST researchers apply deep learning to X-ray diffraction
Ishikawa, Japan -- X-ray diffraction (XRD) is an experimental technique to discern the atomic structure of a material by irradiating ...
Bringing high-performance computing and machine learning closer to the action
It will likely be the first of its kind. In the world. Credit: Doug Benedict/Academic Image for Lehigh University It ...
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Spotted lanternfly spreads by hitching a ride with humans
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Small but mighty: new superconducting amplifiers deliver high performance at lower power consumption
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Healthy men who have vaginal sex have a distinct urethral microbiome
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Cyprus’s copper deposits created one of the most important trade hubs in the Bronze Age
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The ACMG Foundation for Genetic and Genomic Medicine presents four Next Generation Fellowship Awards at the 2023 ACMG Annual Clinical Genetics Meeting
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Researchers highlight nucleolar DNA damage response in fight against cancer