The Next Web

Meta’s Muse Spark is here – and it’s closed source

Meta Superintelligence Labs releases Muse Spark, its first model after a 9-month stack rebuild. It leads on health benchmarks ...

Goodbye, Llama? Meta launches new proprietary AI model Muse Spark — first since Superintelligence Labs' formation

Meta reports that Muse Spark achieves its reasoning capabilities using over an order of magnitude less compute than Llama 4 ...
9to5google

Gemini 3 Deep Think gets ‘major upgrade’ aimed at practical applications

Deep Think is Gemini’s “specialized reasoning mode,” and Google today announced a “major upgrade” to let it “solve modern challenges across science, research, and engineering.” Google worked with ...
contemporarypediatrics

Deep learning model accurately predicts childhood myopia risk

A deep learning model using baseline fundus images accurately predicted myopia and high myopia risk in school-aged children More than half of children without myopia at baseline developed the ...
EurekAlert!

Interpretability in deep learning for finance: A case study for the Heston model

CNN architecture summary: The first dimension in all the layers “?” refers to the batch size. It is left as an unknown or unspecified variable within the network architecture so that it can be chosen ...
IEEE

3D Visualization System of Breast Magnetic Resonance Images Based on Deep Learning and Volume Rendering

Abstract: Compared to natural images, dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) exhibits lower spatial resolution, reduced contrast sensitivity, and limited detail visibility, ...
Hosted on MSN

How Visualization Turned Into My Secret Weapon for Faster Learning

This video set presents a reflective and practical journey into self-mastery and intentional living. It explores low-barrier strategies—like 2-minute habits, visualization, and journaling—that foster ...
BizTech

What Is Cisco’s Deep Network Model, and What Does It Mean for Business Workflows?

Doug Bonderud is an award-winning writer capable of bridging the gap between complex and conversational across technology, innovation and the human condition. As artificial intelligence becomes ...
Frontiers

VAE deep learning model with domain adaptation, transfer learning and harmonization for diagnostic classification from multi-site neuroimaging data

The acquisition sites include: CALTECH, California Institute of Technology; CMU, Carnegie Mellon University; KKI, Kennedy Krieger Institute; LEUVEN, University of Leuven; MAX, Ludwig Maximilians ...
GitHub

Self-Learning-VAE-for-EEG-Artifact-Removal

This repository contains the implementation, benchmarks, and supporting tools for my MSc dissertation project: Self-learning Variational Autoencoder for EEG Artifact Removal (Key code only). Benchmark ...
ascopubs.org

Deep Learning Model for Breast Shear Wave Elastography to Improve Breast Cancer Diagnosis (INSPiRED 006): An International, Multicenter Analysis

Development and Validation of an Artificial Intelligence Digital Pathology Biomarker to Predict Benefit of Long-Term Hormonal Therapy and Radiotherapy in Men With High-Risk Prostate Cancer Across ...