DeepSeek pitches new route to scale AI, but researchers call for more testing

DeepSeek's proposed "mHC" architecture could transform the training of large language models (LLMs) - the technology behind ...

DeepSeek proposes shift in AI model development with 'mHC' architecture to upgrade ResNet

DeepSeek's latest technical paper, co-authored by the firm's founder and CEO Liang Wenfeng, has been cited as a potential ...

DeepSeek kicks off 2026 with paper signalling push to train bigger models for less

DeepSeek has published a technical paper co-authored by founder Liang Wenfeng proposing a rethink of its core deep learning ...
marktechpost

Apple Researchers Unveil DeepPCR: A Novel Machine Learning Algorithm that Parallelizes Typically Sequential Operations in Order to Speed Up Inference and Training of Neural ...

Several new innovations have been made possible because of the advancements in the field of Artificial intelligence and Deep Learning. Complex tasks like text or picture synthesis, segmentation, and ...
IEEE

A Robust Initialization of Residual Blocks for Effective ResNet Training Without Batch Normalization

Abstract: Batch normalization is an essential component of all state-of-the-art neural networks architectures. However, since it introduces many practical issues, much recent research has been devoted ...
Frontiers

Deep learning for the screening of primary ciliary dyskinesia based on cranial computed tomography

Department of Otolaryngology-Head and Neck Surgery, Children’s Hospital of Fudan University, Shanghai, China Objective: To analyze the cranial computed tomography (CT) imaging features of patients ...
Frontiers

The use of deep learning for smartphone-based human activity recognition

The emerging field of digital phenotyping leverages the numerous sensors embedded in a smartphone to better understand its user's current psychological state and behavior, enabling improved health ...
EDN

AV simulation testing for 3D object detection, collision prediction

There was a time when self-driving cars taking over the roads was a distant vision. Today, the situation has changed dramatically. Although autonomous vehicles (AVs) took longer than expected to make ...