Beyond Predefined Clusters: A Comprehensive Review of Clustering Methods for Unknown Cluster Numbers
Abstract: Clustering is an unsupervised learning task that groups data points by their inherent similarities. Nonautomatic clustering algorithms face significant challenges when the true number of ...
Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).
Abstract: The integration of blockchain technology (BT) in supply chains (SCs) is advancing rapidly due to its benefits in transparency, traceability, security, and decentralization. However, SC ...
VentureBeat made with Google Gemini 3.1 Pro Image Anthropic appears to have accidentally revealed the inner workings of one of its most popular and lucrative AI products, the agentic AI harness Claude ...
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Python in Excel isn't just for programmers—4 useful things you can do with it right now
Turn Excel into a lightweight data-science tool for cleaning datasets, standardizing dates, visualizing clusters, and analyzing keywords.
According to Ethan Mollick on X, a resurfaced claim attributed to Anthropic CEO Dario Amodei predicted AI would write 90% of code in 3–6 months and 100% in 12 months; Mollick notes today that while ...
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