Frontiers

Generative Models of Neural Activity: Using AI to Simulate, Interpret, and Predict Brain Dynamics

The advent of high-density recording technologies, such as Neuropixels and large-scale calcium imaging, has provided an unprecedented look into the ...
eLife

Stimulus dependencies—rather than next-word prediction—can explain pre-onset brain encoding in naturalistic listening designs

The ability to predict brain activity from words before they occur can be explained by information shared between neighbouring words, without requiring next-word prediction by the brain.
Computer Weekly

PyTorch Foundation lights up welcomes for Helion & Safetensors

The PyTorch Foundation also welcomed Safetensors as a PyTorch Foundation-hosted project. Developed and maintained by Hugging ...
GitHub

This repo describes python code and input data files for "Forecasting stock return distributions around the globe with quantile neural networks".

Inputs: describes all the raw inputs to run the code Code description: describes the python code and how to run it Code to figure mapping: provides mapping of figures in the paper to code used to ...
Network World

Telnet vulnerability opens door to remote code execution as root

A critical Telnet vulnerability with a CVSS rating of 9.8 enables attackers to take full control of affected systems before authentication even kicks in, security researchers at Dream Security have ...
New Scientist

Quantum neural network may be able to cheat the uncertainty principle

The Heisenberg uncertainty principle puts a limit on how precisely we can measure certain properties of quantum objects. But researchers may have found a way to bypass this limitation using a quantum ...
IEEE

Neural Network Models for Cross-Language Code Synthesis and Translation

Abstract: Code translation between programming languages is a complex task that poses significant challenges in maintaining both the structure and functionality of the translated code. This work ...
IEEE

A Neural Network-Based ADC Calibration Framework via Quantization Code Reconstruction

Abstract: This article proposes a neural network (NN)-based calibration framework via quantization code reconstruction to address the critical limitation of multidimensional NNs (MDNNs) in ...
Hosted on MSN

Python neural network for multiclass classification using softmax

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...
GitHub

Source code for a neural network-based framework for signal separation in spatio-temporal gravity data

B. Heller-Kaikov, R. Pail and M. Werner, Neural network-based framework for signal separation in spatio-temporal gravity data. Computers and Geosciences (2025), doi ...
Scientific Research Publishing

Prediction of Building Displacements during Wind Gusts Using Support Vector Regression and Deep Neural Network ()

The significance of artificial intelligence in contemporary human activities cannot be underestimated. Although the application of this technology in structural engineering is not recent, advancements ...