Kolmogorov-Arnold networks bridge AI and scientific discovery by increasing interpretability

AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding. However, there have been limitations for the world of scientific ...

Yann LeCun’s New Startup AMI Labs: Can World Models Move Beyond Hype?

Instead of building yet another LLM, LeCun is focused on something he sees as more broadly applicable. He wants AI to learn ...
eLife

Human EEG and artificial neural networks reveal disentangled representations and processing timelines of object real-world size and depth in natural images

Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...
Interesting Engineering

AlphaFold and the architecture that cracked protein structure

AlphaFold didn't accelerate biology by running faster experiments. It changed the engineering assumptions behind protein ...

New Technique Of Selective Gradient Masking Localizes Suspected Harmful AI-Based Mental Health Knowledge And Renders It Expungable

AI can give out bad mental health advice. This can occur due to initial training. A new technique uses knowledge localization ...
Nanowerk

Nanowire transistors replicate how the retina edits before the brain sees

Tellurium nanowire transistors switch between boosting and suppressing their light response through voltage alone, enabling ...
eLife

How Occam’s razor guides human decision-making

Occam’s razor is the principle that, all else being equal, simpler explanations should be preferred over more complex ones. This principle is thought to guide human decision-making, but the nature of ...
Tech Xplore on MSN

Overparameterized neural networks: Feature learning precedes overfitting, research finds

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, structureless data. Yet when trained on datasets with structure, they learn the ...
The New Yorker

The Case That A.I. Is Thinking

Dario Amodei, the C.E.O. of the artificial-intelligence company Anthropic, has been predicting that an A.I. “smarter than a Nobel Prize winner” in such fields as biology, math, engineering, and ...
IEEE

Simple Software for Training Artificial Neural Network Models Based on the Block Coding Approach

Abstract: The paper focuses on the development of a software program for creating and training ANN (artificial neural network) models. This program allows users to create their own ANN models without ...
Scientific Research Publishing

Prediction of Monthly Rainfall in Togo Using Artificial Neural Networks (ANN) ()

1 Department of Physics and Chemistry, Ecole Normale Supérieure of Atakpamé, Atakpamé, Togo. 2 Laboratory of Solar Energy, University of Lomé, Lomé, Togo. 3 Laboratory of Applied Hydrology, National ...