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?
Science Daily

New machine learning algorithm promises advances in computing

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...
Quanta Magazine

What Is Machine Learning?

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...
The Economist

It doesn’t take much to make machine-learning algorithms go awry

The algorithms that underlie modern artificial-intelligence (AI) systems need lots of data on which to train. Much of that data comes from the open web which, unfortunately, makes the AIs susceptible ...
Healio

Risk scores, algorithms less accurate in stroke prediction in Black vs. white adults

Risk scores and machine learning algorithms were less accurate at predicting stroke for Black adults than for white adults, researchers reported in JAMA. “Our findings suggest that we may not be ...
Phys.org

Quantum machine learning: Small-scale photonic quantum processor can already outperform classical counterparts

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...
Purdue University

Engineers develop faster, more accurate AI algorithm for improving nuclear reactor performance

WEST LAFAYETTE, Ind. — To expand the availability of electricity generated from nuclear power, several countries have started developing designs for small modular reactors (SMRs), which could take ...