DIGITIMES

Xiaomi unveils open-source AI model unifying robotics and autonomous driving

Embodied, an open-source foundational model that integrates autonomous driving with embodied intelligence. The research team ...

Deep learning model has identified imaging biomarker for chronic stress

A deep learning model has identified an imaging biomarker of chronic stress, according to a study to be presented at the annual meeting of the Radiological Society of North America, being held from ...
The Stanford ReviewOpinion

We Trained China’s AI Researchers. Now We Risk Being Surpassed in AI Innovation.

Reinforcement Learning, one of the year’s most popular classes, taught by Professor Chelsea Finn. Her lab revolutionized ...
IEEE

Sparse Autoencoder-Based Deep Learning Approach for Enhancing End-to-End Communication System Performance

Abstract: Deep learning is increasingly adopted in future communication systems to meet requirements within constrained resources. End-to-end (E2E) autoencoder models leverage deep neural networks for ...
Hosted on MSN

What Is MaxOut in Deep Learning – Intuition and Explanation

Discover what MaxOut is and why it matters in deep learning. Understand the intuition, math, and use cases behind this activation function. #MaxOut #DeepLearning #NeuralNetworks Trump wants to ‘end’ ...
Hosted on MSN

What Is In-Context Learning in Deep Learning – Simple Explanation

Learn the concept of in-context learning and why it’s a breakthrough for large language models. Clear and beginner-friendly explanation. #InContextLearning #DeepLearning #LLMs Trump Says He Is ...
The Scientist

Deep Visual Proteomics Reveals Path to Treat a Deadly Skin Disease

During his training in clinical dermatology, Thierry Nordmann encountered several patients with a rare, horrifying condition called toxic epidermal necrolysis, or TEN. Widely considered to be the only ...
Scientific Research Publishing

Al-Qatf, M., Lasheng, Y., Al-Habib, M. and Al-Sabahi, K. (2018) Deep Learning Approach Combining Sparse Autoencoder with SVM for Network Intrusion Detection. IEEE Access, 6 ...

ABSTRACT: This work contributes to the development of intelligent data-driven approaches to improve intrusion management in smart IoT environments. The proposed model combines a hybrid ...
Scientific Research Publishing

Xu, J., Xiang, L., Liu, Q., Gilmore, H., Wu, J., Tang, J., et al. (2016) Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images. IEEE ...

ABSTRACT: Liver cancer is one of the most prevalent and lethal forms of cancer, making early detection crucial for effective treatment. This paper introduces a novel approach for automated liver tumor ...