A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

Abstract: We propose the use of a lower or upper triangular sub-base matrix to replace the identity matrix in the source-check-channel-variable linking protomatrix of a double-protograph low-density ...

Abstract: Cyclic codes are a subclass of linear codes and have applications in consumer electronics, data storage systems, and communication systems as they have efficient encoding and decoding ...

This work is based on our arXiv tech report. We proposed a novel deep net architecture for auto-encoding point clouds. The learned representations were amenable to semantic part editting, shape ...

A developer reverse-engineering Anthropic's Claude Code binary discovered on June 30, 2026, that the tool had been silently encoding hidden signals into its AI system prompts for at least three months ...

The Sony FX5 is coming this month with killer specs like 5K open gate video and triple-base ISO for the first time on a Sony ...

Code for predicting EEG responses to natural images from vision and language model features, and for combining them in an early-fusion ridge encoding model. The pipeline covers the full path from the ...

They used data encoding to convert DNA sequences into a quantum-compatible format. A step called sequence alignment mapped DNA fragments into reference genomes, while a process called pangenome ...

Anxiety Why We’re Drawn to Things That Scare Us a Little Annie Mueller Ph.D. on June 23, 2026 in Mind in the Mountains Personal Perspective: What a 38-mile desert ultrarun taught one psychologist ...