Discover how to create a working model motorcycle using only cardboard and basic materials in this step-by-step tutorial. Learn the entire process, from crafting cardboard wheels and constructing the ...

Abstract: This paper presents a novel method for reducing the dimensionality of kernel spaces. Recently, to maintain the convexity of training, log linear models without mixtures have been used as ...

Model Context Protocol, or MCP, is arguably the most powerful innovation in AI integration to date, but sadly, its purpose and potential are largely misunderstood. So what's the best way to really ...

Don't be Dense, SLiCE the Cost! Structured Linear Controlled Differential Equations (SLiCEs) are a new class of sequence models that combine the maximal expressivity (i.e., universality) of dense, ...

Log-based anomaly detection has become essential for improving software system reliability by identifying issues from log data. However, traditional deep learning methods often struggle to interpret ...

The controller handles incoming requests and puts any data the client needs into a component called a model. When the controller's work is done, the model is passed to a view component for rendering.

Recently, the UK Government called upon key regulators—including the ICO, FCA, and Bank of England (which incorporates the PRA)—to outline their strategic approach to Artificial Intelligence (AI). In ...

AssemblyAI updates its Speaker Diarization model for better accuracy and multilingual support, alongside new tutorials for developers. AssemblyAI has recently unveiled significant updates to its ...

Diagnostic classification models (DCMs) are psychometric models that yield probabilistic classifications of respondents according to a set of discrete latent variables. The current study examines the ...