Abstract: High-dimensional signal processing and data analysis have been appealing to researchers in recent decades. Outlier detection and sample-size determination are two essential pre-processing ...

MIT researchers say they have found a more efficient way to train machine learning models that predict how complex metal alloys will behave.

Abstract: Medical datasets are usually imbalanced, where negative cases severely outnumber positive cases. Therefore, it is essential to deal with this data skew problem when training machine learning ...

Officials say the census will create a scientific baseline for Delhi's urban trees, helping authorities monitor tree health, ...

To help people who are affected by pollution and other environmental harms, it’s common sense to first get a detailed picture ...

How is AI redefining the way financial firms supervise voice communications? Explore how firms are transforming voice ...

KFF’s 2026 tracking poll found that many U.S. adults have heard common vaccine myths, including false claims about MMR, COVID ...

Together, they form Helios, a new quantum computer built by the British-American company Quantinuum. Quantum computers use ...

In this paper, we test the random walk hypothesis for weekly stock market returns by comparing variance estimators derived from data sampled at different frequencies. The random walk model is strongly ...

Football bettors often assess how their strategic methods align with those used in online casino games. Both betting ...

Prof. Olivier Scaillet wins Senior Best Paper Award at CSBF 2026. Olivier Scaillet, Professor at the University of Geneva and the Swiss Finance Institute, has won the Senior Best ...