Japanese battery innovators are racing to solve the slow‑charging bottleneck that still frustrates drivers and device makers, ...

Rows of unsold potato sacks in Chandpur's cold storages reflect a season of deepening losses, turning what was once a lucrative crop into a source of financial despair for thousands of farmers.

Abstract: Modeling physical systems is an essential skill for engineers, since it enables to achieve a deep understanding of their dynamic behavior and, consequently, to develop effective control ...

Abstract: Since Electric Vehicles (EVs) have demonstrated a possibility of reducing consumption of carbon footprints and other fuels for transportation with their ability to save energy and safeguard ...

Collagen is the most abundant protein in the human body and has an important role in healthy tissue as well as in a range of prevalent diseases. Medical research and diagnostics hence call for means ...

Available from Computing Services: http://www.cmu.edu/computing/software/all/matlab/download.html You need to be on CMU network or VPN to CMU network to use MATLAB ...

A breakthrough deal to attempt to limit global temperature rises was agreed at a conference of world nations in December 2015. These charts from the time show how and why the Earth’s climate is ...

Who are the adults in children’s lives? By The Learning Network Will you have a white Christmas this year? What do you notice about the map below? What questions does it raise for you? By The Learning ...

This directory contains code necessary to run the GraphSage algorithm. GraphSage can be viewed as a stochastic generalization of graph convolutions, and it is especially useful for massive, dynamic ...

Graduates of the CUNY Graduate Center's Ph.D. program in Computer Science become masters of the computer science discipline and obtain in-depth knowledge of a specialized area. CUNY Graduate Center Ph ...

This is a collection of algorithms for learning network structure from effective resistances and other random walk-based similarities, as described in the paper Learning Networks from Random ...