Deep learning creates virtual multiplexed immunostaining to improve cancer diagnosis

Researchers at the University of California, Los Angeles (UCLA), in collaboration with pathologists from Hadassah Hebrew ...
WinBuzzer

DeepSeek Reveals R1 Model Architecture Secrets Ahead of V4 Model Launch

DeepSeek has expanded its R1 whitepaper by 60 pages to disclose training secrets, clearing the path for a rumored V4 coding ...
Scientific Research Publishing

Spatiotemporal Evolution Patterns and Intelligent Forecasting of Passenger Flow in Megacity High-Speed Rail Hubs: A Case Study of Guangzhou South Railway Station ()

Spatiotemporal Evolution Patterns and Intelligent Forecasting of Passenger Flow in Megacity High-Speed Rail Hubs: A Case ...

Simulation model provides accurate assessment of urban spread, residual risks of chemical warfare agents

A research team affiliated with UNIST has reported a new simulation tool to better understand how liquid-phase chemical ...
Oak Ridge National Laboratory

Neutrons dive deep to help protect US nuclear submarines

The pressure hulls of U.S. Navy nuclear submarines consist of many steel plates joined by precision manual or robotic welding ...

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

The paper comes at a time when most AI start-ups have been focusing on turning AI capabilities in LLMs into agents and other ...
WinBuzzer

DeepSeek Unveils ‘mHC’ Architecture to Fix AI Training Instability Amid Chip Bans

DeepSeek has introduced Manifold-Constrained Hyper-Connections (mHC), a novel architecture that stabilizes AI training and ...

DeepSeek develops mHC AI architecture to boost model performance

DeepSeek researchers have developed a technology called Manifold-Constrained Hyper-Connections, or mHC, that can improve the performance of artificial intelligence models. The Chinese AI lab debuted ...

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 ...
IEEE

Zero-Day Attack Detection in IoT Networks Using a Residual Vision Transformer-Based Approach With Zero-Shot Learning

Abstract: The widespread adoption of Internet of Things (IoT) devices across domains ranging from domestic to industrial applications has increasingly made them attractive targets for sophisticated ...
IEEE

Sparse Prior-Guided Deep Learning for OTFS Channel Estimation

Abstract: In this paper, we propose a deep residual shrinkage neural network (DRSNN) based on sparse prior for solving the orthogonal time frequency space (OTFS) channel estimation problem.
GitHub

TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling" (ICLR 2025)

This is the official repository of the paper "TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling". It consists of two parts: One dot represents a performance score on one ...