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 ...

Predictive Modeling: Techniques, Uses, and Key Takeaways

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Interpretable neural networks help reveal the nature of dark matter

A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an ...

OpenAI’s new ChatGPT image generator makes faking photos easy

For most of photography’s roughly 200-year history, altering a photo convincingly required either a darkroom, some Photoshop ...
IEEE

Evolutionary Neural Architecture Search for Remote Sensing Image Classification

Abstract: Remote sensing scene classification is a vital task in remote sensing image analysis with significant application potential. In recent years, convolutional neural network (CNN)-based methods ...
Associated Press

Takeover bid of parent company means limbo for CNN and some fellow cable networks

Copyright 2025 The Associated Press. All Rights Reserved. Copyright 2025 The Associated Press. All Rights Reserved. Paramount Skydance’s hostile takeover bid of ...
GitHub

Whole-brain modeling with differentiable neural mass models

BrainMass is a Python library for whole-brain computational modeling using differentiable neural mass models. Built on JAX for high-performance computing, it provides tools for simulating brain ...
IEEE

Interpretable Fine-Grained Aircraft Classification Network for Remote Sensing Image With Image Pair Interaction and Neural Tree

Abstract: This article proposes a novel interpretable framework for fine-grained aircraft classification in high-stakes remote sensing applications. Our approach addresses three key challenges: small ...
Investopedia

Prediction-Markets Data Is On CNN Now. Expect to See It Just About Everywhere Soon

Kalshi's latest deal follows other partnerships including with Google Finance, the National Hockey League, and Robinhood. Other prediction markets, and those interested in developing them have inked ...
CNN

Data centers powering the AI boom are pitting states against each other

Just before her victory this fall, New Jersey Gov.-elect Mikie Sherrill jabbed at nearby Virginia, which also had a governor’s race, over its booming data center market. “Right now, we need to produce ...
Frontiers

Hyperspectral inversion model of ginkgo leaf yield prediction based on machine learning

Introduction: The yield of ginkgo biloba leaves serves as a critical indicator for assessing their growth and health status. However, current assessment methods primarily rely on manual harvesting and ...