Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, ...

Credo Technology Group Holding Ltd's energy-efficient SerDes and AEC cables power AI data centers with faster upgrades and ...

The generator time impacts training duration and data quality ... rate (E), rainfall rate (R), and river flow rate (P). Through analysis, it has been discovered that deep machine learning (DML) ...

Abstract: Geo-Distributed Machine Leaning (Geo-DML) has been a promising technology, which performs collaborative learning across geographically dispersed data centers (DCs ... traffic scheduling ...

The goal of machine learning is to develop algorithms that can learn patterns in data, and then use those patterns to make decisions or predictions about new data. This is done by training the ...

The main idea of the algorithm is to reduce the dimension of multidimensional traffic flow data by time series clustering, and then perform concurrent training by introducing multiple multi-machine ...

Though we're living through a time of extraordinary innovation in GPU-accelerated machine learning, the latest research papers frequently (and prominently) feature algorithms ... the data points, and ...

Firstly, the improved max-relevance and min-redundancy algorithm was used to extract important feature information effectively and automatically from the training ... machine learning problems, ...