VentureBeat

Perceptron Mk1 shocks with highly performant video analysis AI model 80-90% cheaper than Anthropic, OpenAI & Google

Credit: VentureBeat made with OpenAI ChatGPT-Images-2.0 AI that can see and understand what's happening in a video — especially a live feed — is understandably an attractive product to lots of ...
eLife

MotorNet, a Python toolbox for controlling differentiable biomechanical effectors with artificial neural networks

This work will be of interest to the motor control community as well as neuroAI researchers interested in how bodies constrain neural circuit function. The authors present "MotorNet", a useful ...
GitHub

A Multilayer Perceptron (MLP) from Scratch with NumPy (NumPy-Keras)

We have refactored the entire library to make it easier to understand and use. To avoid installing extra dependencies for additional features, we have commented out the non-numpy dependencies. If you ...
Frontiers

Multiclass classification using quantum convolutional neural networks with hybrid quantum-classical learning

Multiclass classification is of great interest for various applications, for example, it is a common task in computer vision, where one needs to categorize an image into three or more classes. Here we ...
Frontiers

NeuralLasso: Neural Networks Meet Lasso in Genomic Prediction

Prediction of complex traits based on genome-wide marker information is of central importance for both animal and plant breeding. Numerous models have been proposed for the prediction of complex ...
C&EN

Low-Power Artificial Neural Network Perceptron Based on Monolayer MoS

Institute of Electrical and Microengineering, École Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland Institute of Materials Science and Engineering, École Polytechnique ...