Minimus is eliminating barriers by providing free, unrestricted access to its hardened container images, enhancing application security for developers.
Explore Bayesian multiple imputation through the rblimp workshop on July 23, led by Ermioni Athanasiadi. Registration supports Ukraine.
Upbound’s Modelplane empowers IT teams to manage AI inference workloads efficiently within Kubernetes environments, enhancing scalability and control.
Gmisc's updated flowchart features improve clarity in research workflows, turning static diagrams into dynamic tools that adapt alongside data changes.
EFA and CFA serve distinct purposes in measurement research; EFA discovers structures while CFA validates them, guiding effective survey design and analysis.
Explore the dynamics of UK prime ministers—term lengths, duration of service, and historical trends—as political turnover reaches new heights.
Today's updates reveal significant scrutiny on Polymarket's practices and developments from Underdog and other key players in prediction markets.
SBS has been ruled to have violated gambling advertising regulations by broadcasting a Crown Resorts commercial during the Tour de France.
Minnesota is defending its prediction market regulations in court, citing public safety concerns and the potential for abuse as challenges from industry players arise.
How to Perform PCA in R: A Step-by-Step Tutorial Using prcomp() To perform PCA in R, use the built-in prcomp() function: pca 1), or a cumulative variance threshold — this tutorial shows all three and ...
GitOps excels for code, but machine learning models require a nuanced approach beyond traditional CI/CD pipelines to ensure reliable deployments.
rOpenSci shines a light on open-source maintainers, acknowledging their contributions to R packages that support global research and data science.
EuroBioC2026 showcased community growth and practical skills in computational biology, emphasizing collaboration and hands-on learning experiences.
The Popa botnet exploits Android TV boxes for cybercrime, using reliable connections to run ad fraud and data scraping, affecting millions of users.
Mistral AI transitions from a software-centric model to hands-on engineering solutions, redefining its approach to AI deployment amid market realities.