The Hollywood Reporter

Neel Somani on How Privacy-Preserving Machine Learning Is Changing the Digital Landscape

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models is learning without crossing ethical lines. By Daniel Fusch Neel Somani, a ...
Bloomberg L.P.

Bitfarms to Wind Down Bitcoin Mining to Focus on AI Data Centers

Bitfarms Ltd., one of the largest cryptocurrency miners, said it plans to wind down those operations over the next two years and focus on providing infrastructure to generate computing power for ...
IEEE

Sample Selection Methods for Federated Continual Learning in a Time Series Context

The complex dynamics in telecommunication networks that vary over time is due to network reconfiguration, hardware reinstallation, and other factors related to user behavior. This requires machine ...
Frontiers

The role of α-hydroxybutyrate in modulating sepsis progression: identification of key targets and biomarkers through multi-database data mining, machine learning, and ...

Background: Sepsis remains a major cause of mortality and morbidity worldwide. Recent studies suggest that gut microbiota-derived metabolites, such as α-hydroxybutyrate (α-HB), may play a critical ...
Scientific Research Publishing

Chaudhry, M., Shafi, I., Mahnoor, M., Vargas, D.L.R., Thompson, E.B. and Ashraf, I. (2023) A Systematic Literature Review on Identifying Patterns Using Unsupervised Clustering ...

ABSTRACT: Doping is an issue associated with elite sports as athletes attempt to enhance their performance to gain an edge over other athletes. However, the prevalence of doping is continuously ...
MIT Technology Review

A major AI training data set contains millions of examples of personal data

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...
IEEE

Limitations of Quantum Advantage in Unsupervised Machine Learning

Abstract: Machine learning models are used for pattern recognition analysis of big data, without direct human intervention. The task of unsupervised learning is to find the probability distribution ...
C&EN

Historical Data Mining Deep Dive into Machine Learning-Aided 2D Materials Research in Electrochemical Applications

You are free to share (copy and redistribute) this article in any medium or format and to adapt (remix, transform, and build upon) the material for any purpose, even commercially within the parameters ...
The New York Times

Trump Taps Palantir to Compile Data on Americans

The Trump administration has expanded Palantir’s work with the government, spreading the company’s technology — which could easily merge data on Americans — throughout agencies. Alex Karp, a ...
BizTech

What Are the Benefits of Unsupervised Machine Learning and Clustering?

Nathan Eddy works as an independent filmmaker and journalist based in Berlin, specializing in architecture, business technology and healthcare IT. He is a graduate of Northwestern University’s Medill ...
Reuters

Pakistan allocates 2,000 megawatts of electricity to bitcoin mining, AI data centres

ISLAMABAD, May 25 (Reuters) - Pakistan will allocate 2,000 megawatts (MW) of electricity in the first phase of a national initiative to power bitcoin mining and AI data centres, its finance ministry ...