Smart speakers contactlessly monitors heart rhythms
Researchers have developed system for smart speakers to monitor both regular and irregular heartbeats without physical contact.
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Key task in computer vision gets a boost
A researcher has demonstrated a technique that reduces the computing time for non-rigid point set registration relative to other approaches.
AI identifies 'ugly ducklings' to catch skin cancer
Deep learning-based system enables dermatologist-level identification of suspicious skin lesions from smartphone photos, allowing better screening.
AI makes strides in search for COVID-19 treatments
A deep learning model that can predict how human genes and medicines will interact has identified at least 10 compounds that may hold promise as treatments for COVID-19.
Customized “brains” for robots
Researchers have developed an automated way to design customized hardware, or “brains,” that speeds up a robot’s operation.
AI enhances predictions of COVID-19 outcomes
Researchers have used "federated learning" to examine electronic health records to better predict how COVID-19 patients will progress.
Would we be able to control superintelligent machines?
Using theoretical calculations, scientists showed that it would not be possible to control a superintelligent AI.
AIs detect diabetic eye disease inconsistently
Although some artificial intelligence software tested reasonably well, only one met the performance of human screeners.
Biosensors convert signals to control prosthetics
High-five or thumbs-up? Researchers have developed a wearable sensor that detects which hand gesture you want to make.
Self-learning algorithms analyze imaging data
Artificial neural networks open up new possibilities in interpreting the time-consuming imaging ´data.
AI test predicts eye disease years before symptoms
A new eye test may predict wet age-related macular degeneration, a leading cause of severe sight loss, three years before symptoms develop.
Smartwatch can detect early signs of illness
Researchers have developed a smartwatch app designed to alert users when their bodies show signs of fighting an infection, such as elevated heart rate.
AI sees and hears COVID-19 in your lungs
Two deep learning algorithms that identify patterns of COVID-19 in lung images and breath sounds, may help in the fight against other respiratory diseases and the growing challenge of antibiotic resistance.
AI accurately detects COVID-19 on chest x-rays
Researchers have developed a new AI platform that detects COVID-19 by analyzing X-ray images of the lungs.
AI uncovers missing info about ethnicity in population health
Machine learning can be used to fill a significant gap in Canadian public health data related to ethnicity and Aboriginal status, according to research by a University of Alberta research epidemiologist.
Deep learning enables screening for eye disease
Researchers created a novel deep learning method that makes automated screenings for eye diseases such as diabetic retinopathy more efficient.
Sorting out viruses with machine learning
Scientists develop a label-free method for identifying respiratory viruses based on changes in electrical current when they pass through silicon nanopores.
Machine learning predicts anti-cancer drug efficacy
With the advent of pharmacogenomics, machine learning research is well underway to predict patients' drug response that varies by individual from the algorithms derived from previously collected data on drug responses.
Using AI to track pandemic’s impact on mental health
Researchers have shown that they can measure those effects of the Corona pandemic on mental health by analyzing the language that people use to express their anxiety online.
AI tool to predict accurate flu forecasts
Researchers have developed an AI-powered forecasting tool for predicting influenza outbreaks.
AI model detects Covid-19 infections through coughs
Researchers have found that people who are asymptomatic for Covid-19 may differ from healthy individuals in the way that they cough.
Machine learning algorithm detects early stages of Alzheimer's
An artificial intelligence-based detects early stages of Alzheimer’s through functional magnetic resonance imaging.
Machine learning comes of age in cystic fibrosis
Researchers have developed AI technology that offers a glimpse of the future of precision medicine, and unprecedented predictive power to clinicians caring for individuals with the life-limiting condition.
Neural networks could help predict future self-harm
Researchers have created artificial intelligence algorithm that can automatically identify patients at high risk of intentional self-harm, based on the information in the clinical notes in the electronic health record.
VR allows scientists to 'walk' inside cells
Virtual reality software which allows researchers to 'walk' inside and analyse individual cells could be used to develop new treatments for disease.
Algorithm could unleash the power of quantum computers
A new algorithm that fast forwards simulations could bring greater use ability to current and near-term quantum computers.
AI models could predict outcomes in trauma
AI has shown early success in improving survival and outcomes in traffic accident victims transported by ambulance and in predicting survival after liver transplantation.
Machine learning takes on synthetic biology
Researchers have developed a new tool that adapts machine learning algorithms to the needs of synthetic biology to guide development systematically.
Device achieves unprecedented control of cell membrane voltage
Scientists have developed a bioelectronic system driven by a machine learning algorithm that can shift the membrane voltage in living cells and maintain it at a set point for 10 hours.
