Claudish is a bidirectional translator between English and a language called Claudish. It is powered by compiled neural programs with 0.6 billion parameters. The translator supports conversion from English to Claudish and from Claudish back to English.

A program is proposed to enable a single cell to build itself into a brain using only genomic information. The program must be compact enough to fit within a genome and efficient enough to complete development in a timely manner.

A new puzzle challenges participants to reverse engineer a chip layout without additional information about its function. Modern chips are initially created from code using hardware description languages like Verilog, which are then synthesized into a netlist.

NEvo is a neural-guided system designed for synthesizing videos through evolutionary algorithms. It leverages deep learning techniques to enhance video generation and editing processes.

A perceptron is the simplest form of a neural network, processing one input to produce a binary output. It can be built from scratch in Python using basic components like a weight, a bias, and a loop, allowing for live learning demonstrations in a browser without complex mathematics or libraries.

The Leiden Declaration on Artificial Intelligence and Mathematics acknowledges the transformative impact of AI technologies on mathematical practice. It recognizes both the potential benefits and diverse reactions among researchers regarding the use of AI in mathematics.

Sampling from a diffusion model involves an iterative process where a denoiser estimates the tangent direction to a path through input space. Neural networks can be trained to directly predict the integral that transforms samples from a simple noise distribution into samples from a target distribution.

Biological computing applies mathematical concepts and probabilities used in AI to human neurons. This intersection raises concerns about the ethical implications and potential dystopian outcomes of merging biological systems with computational processes.

A scientific theory of deep learning is emerging that characterizes key properties and statistics related to the training process, hidden representations, final weights, and performance of neural networks. The research consolidates various ongoing studies in deep learning theory.

An NSFW filter for Marginalia Search is being developed in response to requests from API consumers. The filter will utilize a single hidden layer neural network, having explored various other methods prior to this decision.