Nasdaq

AER and Team Achieve Improved Forecasts Using Machine Learning in Subseasonal-to-Seasonal Forecasting in New Paper and U.S.-Sponsored Contest

Lexington, Mass., March 8, 2019 - A team from Atmospheric and Environmental Research (AER), Massachusetts Institute of Technology (MIT), Microsoft Research, and Stanford University published an ...
Hosted on MSN

Machine Learning model demonstrates promising seasonal forecasting capability

The peer-reviewed research, published in npj Climate and Atmospheric Science, assesses the viability of applying a machine learning (ML) weather model to global seasonal forecasts, which are vital for ...
EurekAlert!

New quantum encoding methods slash circuit complexity in machine learning

This diagram illustrates how the team reduces quantum circuit complexity in machine learning using three encoding methods—variational, genetic, and matrix product state algorithms. All methods ...
University of California

Using machine learning to estimate COVID-19’s seasonal cycle

One of the many unanswered scientific questions about COVID-19 is whether it is seasonal like the flu — waning in warm summer months then resurging in the fall and winter. Now scientists at Lawrence ...
News Medical

Scientists use machine learning methods to estimate COVID-19's seasonal cycle

One of the many unanswered scientific questions about COVID-19 is whether it is seasonal like the flu - waning in warm summer months then resurging in the fall and winter. Now scientists at Lawrence ...