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.
stankerstjens.github.io
36 min
8/15/2026
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.
leidendeclaration.ai
14 min
6/3/2026
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.
sander.ai
83 min
5/6/2026
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.
arxiv.org
2 min
4/24/2026
Noids, or neural boids, utilize a small neural network to generate steering forces based on visual input from each agent, comprising 1,922 learned parameters. This system mimics the behavior of real birds in a murmuration, where no leader or predetermined choreography directs the movement of the flock.
campedersen.com
10 min
3/8/2026
A thermodynamic computer can generate images from noise while consuming significantly less energy than traditional generative AI models. This technology mimics the functionality of AI neural networks.
livescience.com
8 min
2/23/2026
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.
stankerstjens.github.io
36 min
8/15/2026
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.
leidendeclaration.ai
14 min
6/3/2026
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.
arxiv.org
2 min
4/24/2026
A thermodynamic computer can generate images from noise while consuming significantly less energy than traditional generative AI models. This technology mimics the functionality of AI neural networks.
livescience.com
8 min
2/23/2026
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.
nevo-project.epfl.ch
1 min
7/10/2026
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.
sander.ai
83 min
5/6/2026
Noids, or neural boids, utilize a small neural network to generate steering forces based on visual input from each agent, comprising 1,922 learned parameters. This system mimics the behavior of real birds in a murmuration, where no leader or predetermined choreography directs the movement of the flock.
campedersen.com
10 min
3/8/2026
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.
stankerstjens.github.io
36 min
8/15/2026
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.
sander.ai
83 min
5/6/2026
A thermodynamic computer can generate images from noise while consuming significantly less energy than traditional generative AI models. This technology mimics the functionality of AI neural networks.
livescience.com
8 min
2/23/2026
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.
nevo-project.epfl.ch
1 min
7/10/2026
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.
arxiv.org
2 min
4/24/2026
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.
leidendeclaration.ai
14 min
6/3/2026
Noids, or neural boids, utilize a small neural network to generate steering forces based on visual input from each agent, comprising 1,922 learned parameters. This system mimics the behavior of real birds in a murmuration, where no leader or predetermined choreography directs the movement of the flock.
campedersen.com
10 min
3/8/2026
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