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

Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, ...

Secure stronger market performance by unifying your brand signals across search, AI platforms, and on-site experiences.

Python''s popularity is surging. In 2025, it achieved a record 26.14% TIOBE index rating, the highest any language has ever ...

Abstract: In binary optimization problems, where the goal is to find the input $\boldsymbol {x}$ that minimizes a given objective function, Grover adaptive search (GAS) is a well-known quantum ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Spain leads with 20 million combined subscribers to slop channels, while South Korea tops view counts at 8.45 billion, anchored by the "Three Minutes Wisdom" channel, where cute p ...

OpenASCE (Open All-Scale Casual Engine) is a comprehensive, easy-to-use, and efficient end-to-end large-scale causal learning system. It provides causal discovery, causal effect estimation, and ...

Whether you're a scientist brainstorming research ideas or a CEO hoping to automate a task in human resources or finance, you'll find that artificial intelligence (AI) tools are becoming the ...

Abstract: The algebraic connectivity is an indicator of how well connected a graph is. It also characterizes the convergence speed of some dynamic processes over networks. In this paper, taking into ...

We use heuristics to solve computationally difficult problems where optimal solutions are too expensive to deploy, hard to manage, or otherwise inefficient. Our prior work, MetaOpt, shows many of the ...