Machine learning helps identify 'thermal switch' for next-generation nanomaterials

Imagine being able to program materials to control heat like you can control a light with a dimmer switch. By simply ...

Cornell’s Tiny “Microwave Brain” Chip Could Transform Computing and AI

Scientists have built a “microwave brain” chip that processes information at radar-like speeds while sipping power. It could revolutionize how AI and communication devices operate, from smartwatches ...
IEEE

Transformer-Based Multi-Modal Deep Learning Framework for Early Disease Prognosis Using EHR and Medical Imaging Data

Abstract: Early and accurate disease prognosis remains a critical challenge in modern healthcare, especially when clinical data is high-dimensional, heterogeneous, and incomplete. This paper proposes ...
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Why Holograms Are the Latest Wave in Learning About the Human Body

The technological advances of the last decades make many of us feel as if we are living in a science fiction movie. NATO scrambles fighter jets as Russian strikes kill "entire family" Trump Sends ...
The Lancet

Development of a multi-task deep learning system for classification of nine common knee abnormalities on MRI: a large-scale, multicentre, stepwise validation study

aDepartment of Radiology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China bInstitute of High-End Intelligent Health Equipment, Academy of Orthopedics, Guangdong Province ...
IEEE

Hybrid Feature Extraction and Deep Learning Framework for Power Transformer Fault Classification: A Real-World Case Study

Abstract: Reliable fault diagnosis in power transformers is paramount for ensuring grid stability and safeguarding critical assets. This paper proposes a novel deep learning-based diagnostic framework ...