Python egg hunt: Florida elimination program adds new reward category

The South Florida Water Management District is now rewarding hunters for removing python eggs and active nests from the ...

New Shai-Hulud attack trojanizes 19 science-focused PyPI packages

Hackers compromised 19 packages on the PyPI, collectively downloaded hundreds of thousands of times, in a new Shai-Hulud ...

Chinese APT deploys new malware to keep access to hacked networks

A Chinese espionage group tracked as UNC5221 has been accessing Microsoft 365 environments using the Brickstorm backdoor and ...
GitHub

Improving Point Cloud Based Place Recognition with Ranking-based Loss and Large Batch Training

The paper presents a simple and effective learning-based method for computing a discriminative 3D point cloud descriptor for place recognition purposes. Recent state-of-the-art methods have relatively ...
Hosted on MSN

Backpropagation with automatic differentiation from scratch in Python

Learn how backpropagation works using automatic differentiation in Python. Step-by-step implementation from scratch. #Backpropagation #Python #DeepLearning Mike Johnson gives update on Jan. 6 plaque ...
Hosted on MSN

Backpropagation In Neural Networks — Full Derivation Step-By-Step

Understand the Maths behind Backpropagation in Neural Networks. In this video, we will derive the equations for the Back Propagation in Neural Networks. In this video, we are using using binary ...
GitHub

Iterative Vectors: In-Context Gradient Steering without Backpropagation

Iterative Vectors (IV) introduces a novel approach for enhancing in-context learning in large language models. By directly editing activations using simulated gradients, IV achieves significant ...
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 ...
IEEE

Training Spiking Neural Networks Using Lessons From Deep Learning

Abstract: The brain is the perfect place to look for inspiration to develop more efficient neural networks. The inner workings of our synapses and neurons provide a glimpse at what the future of deep ...