At Argonne National Laboratory near Chicago researchers are using AI and high performance computing to develop new methods ...

Our brain's remarkable ability to form and store memories has long fascinated scientists, yet most of the microscopic mechanisms behind memory and learning processes remain a mystery.

This isn't just about technical training; it's about reimagining learning in the AI era ... This gap threatens to limit the potential of generative AI, with LinkedIn’s research confirming that ...

By applying the LAADS (Learner-centered, Authentic, Active, Differentiated, and Skill-based) model, the research explored how motivation-driven, skill-based learning experiences could enhance ...

On the scientific front, however, the implications of stem cell research are even more profound than offering replacement parts. Recent findings reveal that a true paradigm shift may be in the works.

The research, as part of a multipart “Teaching and Learning In the Time of COVID-19” survey project, found that 26% of local K-12 students and parents surveyed said they were experiencing food ...

This is where the Carve-DL research project comes in: an AI-based solution that can recover files that are difficult to reconstruct by the use of learning algorithms to sustainably improve the ...

Abstract: Federated Learning (FL) is an emerging learning paradigm facilitating privacy-preserving machine ... to actively participate in training is a highly relevant area of research within ...

Scientists used advanced data analysis and machine learning to identify the viral ... SARS-CoV-2 and autoimmune diseases epitopes." Research was supported by the National Library of Medicine ...

Abstract: Federated learning is an important distributed machine learning paradigm. This study proposes a privacy-preserving data augmentation model for federated learning of heterogeneous data, which ...

With the widespread application of big data, artificial intelligence, and machine learning technologies in the medical field, a new paradigm of data-intensive clinical research is emerging as a key ...

MPC, a well-known control methodology that exploits a prediction model to predict the future behaviour of the environment and compute the optimal action and RL, a Machine Learning paradigm that showed ...