AI Models Are Starting to Learn by Asking Themselves Questions

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...
IEEE

Determining The Parameter K of K-Nearest Neighbors (KNN) using Random Grid Search

Abstract: The study aims to optimize the classification of reception of training participants using the K-Nearest Neighbors (KNN) algorithm by finding the optimal value for the K parameter through a ...
IEEE

An Efficient Approach to Data Clustering Using the K-Means Algorithm in Big Data Analytics

Abstract: The large-scale, high-dimensionality of datasets poses major obstacles to effective and precise data clustering in the field of big data analytics. This work focuses on a well-known ...
Hosted on MSN

What the rise of atheist churches really means - Faith without faith?

Even without God, people still seek ritual, structure, and community. Atheist churches fill the social role religion once held. This trend reveals something deeper about human nature. Belief may fade, ...
Computerworld

What does OpenAI’s ‘Code Red’ warning mean for Microsoft?

Google’s new Gemini 3 AI model is beating the pants off OpenAI’s ChatGPT, and it’s embedded in an array of Google products — a threat that Microsoft can’t ignore. Three years ago, OpenAI jumpstarted ...
GitHub

KAT - The K-mer Analysis Toolkit

KAT is a suite of tools that analyse jellyfish hashes or sequence files (fasta or fastq) using kmer counts. The following tools are currently available in KAT: kmer: Produces a k-mer hash containing ...