A Submersible Uncovered Secret Structures. Then, It Vanished Under Antarctic Waters.

A submersible revealed hidden ice structures under the Antarctic before vanishing, highlighting the complexities of ice shelf ...
The New York Times

How Afraid of the A.I. Apocalypse Should We Be?

How Afraid of the AI Apocalypse Should We Be? The A.I. researcher Eliezer Yudkowsky argues that we should be very afraid of artificial intelligence’s existential risks. This is an edited transcript of ...
The New York Times

How Afraid of the A.I. Apocalypse Should We Be?

new video loaded: How Afraid of the A.I. Apocalypse Should We Be? transcript Shortly after ChatGPT was released. It felt like all anyone could talk about at least if you were in AI circles, was the ...
Scientific Research Publishing

FOCUS-Net: A Hybrid Denoising and Confidence-Weighted Attention Fusion Framework for Robust Alzheimer’s Disease Classification from MRI Data ()

1 Department of Computing and Informatics, University of Nairobi, Nairobi, Kenya. 2 Department of Computer Science, Mountains of the Moon University, Fort Portal, Uganda. Alzheimer’s Disease (AD) is a ...
Frontiers

Effective methods and framework for energy-based local learning of deep neural networks

From a neuroscience perspective, artificial neural networks are regarded as abstract models of biological neurons, yet they rely on biologically implausible backpropagation for training. Energy-based ...
Scientific Research Publishing

From U-Net to Swin-Unet Transformers: The Next-Generation Advances in Brain Tumor Segmentation with Deep Learning ()

Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving from the ...
IEEE

A Multilayer Residual Dendritic Neural Model for Predicting Stroke Prognosis

Abstract: Stroke, caused by occlusion or rupture of cerebral blood vessels, is a leading cause of disability and death globally. Accurate stroke prognosis can enhance clinical decisions and ...
Frontiers

Expectation-maximization alternating least squares for tensor network logistic regression

1 Department of Computer Science, Nagoya Institute of Technology, Aichi, Japan 2 RIKEN Center for Advanced Intelligence Project, Tokyo, Japan In recent years, a learning method for classifiers using ...