KrASIA

What will define AI? AReaL head Yi Wu points to reinforcement learning

His work on reinforcement learning and embodied agents is part research, part startup, and all about learning by doing.
University of Vermont

Bright Light: How One UVM Undergrad is Perfecting the Data Behind Solar Energy

Since the early 1980s, NRG has been a global leader in creating and deploying measurement tools for wind and solar energy ...

Quantum machine learning nears practicality as partial error correction reduces hardware demands

Imagine a future where quantum computers supercharge machine learning—training models in seconds, extracting insights from ...

Enhancing machine-learning interatomic potentials for advanced materials modeling

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...
Tech Xplore on MSN

Overparameterized neural networks: Feature learning precedes overfitting, research finds

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

New model frames human reinforcement learning in the context of memory and habits

Humans and most other animals are known to be strongly driven by expected rewards or adverse consequences. The process of ...
International Monetary Fund

GDP Nowcasting Performance of Traditional Econometric Models vs Machine-Learning Algorithms: Simulation and Case Studies

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...
Communications of the ACM

Learning How Learning Works

“Based on their training data, they just model the probability that a given token, or word, will follow a set of tokens that ...
The Lancet

Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...
eLife

Experience-Dependent Plasticity: The little brain supervises learning in the big brain

The cerebellum (which is Latin for ‘little brain’) is the area of the brain in charge of fine motor coordination and balance, and it keeps our movements smooth and stable by predicting what our next ...
Tech Xplore on MSN

Guided learning helps previously 'untrainable' neural networks learn effectively

Even networks long considered "untrainable" can learn effectively with a bit of a helping hand. Researchers at MIT's Computer ...
Inside Higher Ed

The Experience Imperative

The economy is uncertain, but eight in 10 undergraduates somewhat or strongly agree that their college is preparing them with the skills, credentials and experiences they need to succeed in today’s ...