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Published Scientists develop AI-based tracking and early-warning system for viral pandemics



Machine-learning system effectively predicts emergence of prominent variants. ...
Published Topology's role in decoding energy of amorphous systems


Researchers used topological data analysis to improve the predictions of physical properties of amor...
Published Using big data on livestock farms could improve antimicrobial resistance surveillance



A new study suggests that using big data and machine learning in antimicrobial resistance (AMR) surv ...
Published Future AI algorithms have potential to learn like humans


Memories can be as tricky to hold onto for machines as they can be for humans. To help understand wh ...
Published Researchers teach an AI to write better chart captions



A new tool helps scientists develop machine-learning models that generate richer, more detailed capt ...
Published A simpler method for learning to control a robot


A new machine-learning technique can efficiently learn to control a robot, leading to better perform ...
Published New model reduces bias and enhances trust in AI decision-making and knowledge organization


Researchers have developed a new explainable artificial intelligence (AI) model to reduce bias and e...
Published AI models are powerful, but are they biologically plausible?


Researchers hypothesize that a powerful type of AI model known as a transformer could be implemented...
Published Efficient training for artificial intelligence


New physics-based self-learning machines could replace the current artificial neural networks and sa ...
Published Researchers use AI to find new magnetic materials without critical elements


A team of scientists developed a new machine learning model for discovering critical-element-free pe ...
Published Unlocking the secrets of cells, with AI



Researchers have developed a new program that provides a more accurate understanding of the peptide...
Published What is the impact of predictive AI in the health care setting?



Models built on machine learning in health care can be victims of their own success, according to re ...
Published Widespread machine learning methods behind 'link prediction' are performing very poorly



New research establishes that the metric used to measure link prediction performance is missing cruc...
Published Brainstorming with a bot



Electronic nanomaterials experts have imagined how recent advances in artificial intelligence (AI) a...
Published New AI method captures uncertainty in medical images



Tyche is a machine-learning framework that can generate plausible answers when asked to identify pot ...
Published New strategy for assessing the applicability of reactions



Chemists show that a machine-based method prevents widespread 'bias' in chemical publications. ...
Published Science has an AI problem: This group says they can fix it



A team of 19 prominent researchers has published guidelines for the responsible use of machine learn ...
Published Novel software that combines gene activity and tissue location to decode disease mechanisms



A new computational machine learning method developed by computational biologists can help researche ...
Published Verifying the work of quantum computers



Researchers have invented a new method by which classical computers can measure the error rates of q...
Published Deciphering the thermodynamic arrow of time in large-scale complex networks


A solution for temporal asymmetry -- or entropy production -- in thermodynamics has been developed t...