BIOENGINEER

Deep Learning Is Teaching Machines to Read the Brain’s Electrical Whispers

A systematic review maps how deep learning architectures are transforming EEG analysis for neurological disease diagnosis, ...
THE DECODER

Is AI interpretability close to a breakthrough? A new essay has researchers divided

Neural networks may be much easier to read than researchers assumed, with about 90 percent of neurons serving a clear ...

[Part 2] Overcoming Alignment through Kukai's 'Great Compassion'. Is there Universal Wisdom beyond Universal Intelligence? — Ilya Sutskever's Challenge

Emergency! The cold, hard truth that a 'super-intelligent AI' is not necessarily a 'super-nice guy'We spend our days with ...
BIOENGINEER

New Graph AI Learns Without Gradient Descent, Cutting Training Time Dramatically

AE, a graph embedding model that trains in closed form without gradient descent while outperforming conventional graph ...
HackerNoon

Scientists Are Finally Learning How to Read AI's Mind

Scientists are learning to decode AI's hidden processes. Discover how mechanistic interpretability could make artificial intelligence safer and more transparent ...
science

Artificial sparse neuron dendrites for visual information inference

In the human brain, dendrites exhibit nonlinear integration and sparse parallel processing capabilities, which can effectively perform visual tasks by integrating only a small subset of neuronal ...
letsdatascience

k-Sparse Autoencoders Reveal Reasoning Model Features

A LessWrong community post presents an early-stage project investigating whether k-sparse autoencoders (k-SAEs) can extract interpretable features from a small reasoning model. K-sparse autoencoders ...
Journal of Medical Internet Research

Benchmark Integrity and Reasoning-Trace Errors in Medical Question Answering With Large Language Models: Mixed Methods Study With Sparse Autoencoders

Objective: This study aimed to investigate failure modes of reasoning-based LLMs in medicine by (1) auditing the integrity of the MedQA benchmark, (2) developing a clinically informed taxonomy of ...
GitHub

sparse gated autoencoders for TensorFlow & Keras, batteries included

I kept wanting to train sparse autoencoders on Keras models without reimplementing the gated SAE from scratch or dragging everything over to PyTorch. So I packaged the version I kept rewriting: the ...
Forbes

Making Sense Of What’s Really Going On Inside AI By Using Newly Devised Natural Language Autoencoders

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. This voice experience is generated by AI. Learn more. This ...