The award-winning Compliance into the Weeds is the only weekly podcast that takes a deep dive into a compliance-related topic, literally going ...

This valuable study uses state-of-the-art neural encoding and video reconstruction methods to achieve a substantial improvement in video reconstruction quality from mouse neural data. It provides a ...

Machine learning on tabular data focuses on building models that learn patterns from structured datasets, typically composed of rows and columns similar to those found in spreadsheets. These datasets ...

Two of the transformative tools that play a central role in Microsoft’s work on AI for science are MatterGen and MatterSim. In the world of materials discovery, each plays a distinct yet complementary ...

You are free to share (copy and redistribute) this article in any medium or format within the parameters below: Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must ...

ABSTRACT: Accurate sales forecasting is essential in the fast-paced world of business for effective strategic planning and resource allocation. However, traditional forecasting methods often lack ...

Mahoney described that the new Interpolating Information Criterion metric is a useful tool for evaluating models with more parameters than data points and has several applications. Mahoney began by ...

Abstract: Malaria is a blood disease caused by the Plasmodium parasite that is transmitted through the bite of female Anopheles mosquitoes. These mosquitoes can cross borders without passports or ...

I need to train several neural networks with the same structure and with the same input. Training one by one takes quite a long time and I found that using model ensembling would be a good option here ...

Polygenic risk scores (PRS) using data from genome-wide association studies (GWAS) have garnered significant interest for predicting individual’s genetic predisposition to complex traits and diseases.