From Bottleneck to Breakthrough: AI in Chip Verification

This is a sponsored article brought to you by Siemens. In the world of electronics, integrated circuits (IC) chips are the ...
Scientific Research Publishing

On Prediction of Stock Return and Volatility Using Clustering Techniques: Taking an Example of Japanese Stock Market ()

Graduate School of Economics, The University of Osaka, Osaka, Japan. Stock returns exhibit nonlinear dynamics and volatility clustering. It is well known that we cannot forecast the movements of stock ...
Seeking Alpha

Google to invest $10B to set up data center cluster in India: report

Alphabet's (NASDAQ:GOOG) (NASDAQ:GOOGL) Google plans to invest $10B to establish a 1-gigawatt data center cluster in Visakhapatnam, in the Indian state of Andhra Pradesh, The Economic Times reported.
IEEE

Level Test-Inspired SNR Estimation-Based Dataset Clustering Algorithms for Learnability Maximization in Neural Network Design

Abstract: Neural networks (NNs) are pivotal in enhancing data processing tasks such as classification, generation, and restoration. A crucial consideration in these applications is the signal-to-noise ...
Microsoft

Accurate Chemistry Collection: Coupled cluster atomization energies for broad chemical space

Accurate thermochemical data with sub-chemical accuracy (i.e., within ±1 kcal/mol from sufficiently accurate experimental or theoretical reference data) is essential for the development and ...
GitHub

Clustering-Dataset-Example.ipynb

"count 77.000000 77.000000 77.000000 77.000000 77.000000 76.000000 \n", "mean 106.883117 2.545455 1.012987 159.675325 2.151948 14.802632 \n", "std 19.484119 1.094790 ...
STAT

CDC testing suggests Missouri did not see a cluster of bird flu cases

Helen Branswell covers issues broadly related to infectious diseases, including outbreaks, preparedness, research, and vaccine development. Follow her on Mastodon and Bluesky. You can reach Helen on ...
GitHub

aaljaish/Analysis_of_ordinal_data

This macro performs an ordinal cluster analysis on a given dataset. It processes the data to compute win fractions, conducts a mixed model regression on these win fractions, and fits a proportional ...