This AI Model Can Intuit How the Physical World Works

Researchers have developed an AI system that learns about the world via videos and demonstrates a notion of “surprise” when ...
Resumé

Machine Learning Engineer for Multiverse Computing

International exposure in a multicultural, cutting-edge environment. Design and develop new techniques to compress Large ...
NDTV

IISc Bangalore Invites Applications For Free Deep Learning, AI Course, Details Here

IISc Bangalore Deep Learning Course 2025: The Indian Institute of Science (IISc), Bengaluru, in collaboration with SWAYAM, is ...
IEEE

SDCnet: A Deep Learning Network Model for Road Segmentation Based on CNN and Transformer

Abstract: Road segmentation is a key task in remote sensing semantic segmentation, and the existing deep learning methods still have the problems of insufficient fineness, difficulty in modeling ...
Frontiers

Deep learning for inner speech recognition: a pilot comparative study of EEGNet and a spectro-temporal Transformer on bimodal EEG-fMRI data

1 Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia 2 Center of Excellence in Intelligent Engineering Systems (CEIES), King ...
Frontiers

Attention-based Transformer-LSTM architecture for early diagnosis and staging of early-stage Parkinson’s disease using fNIRS data

Department of Rehabilitation, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China Background: Parkinson’s disease (PD) is a progressive neurodegenerative disorder requiring ...
GitHub

Deep Learning in Quantitative Finance: Transformer Networks for Time Series Prediction

This demo shows how to use transformer networks to model the daily prices of stocks in MATLAB®. We will predict the price trends of three individual stocks and use the predicted time series values to ...
Scientific Research Publishing

From U-Net to Swin-Unet Transformers: The Next-Generation Advances in Brain Tumor Segmentation with Deep Learning ()

Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving from the ...
GitHub

Creating an AI Module in Python

Here's how to create a Python module for AI-related functionality. This example will include basic machine learning and NLP capabilities. from .ml import train_model, predict from .nlp import ...
Oak Ridge National Lab

Novel deep learning transformer model for short to sub-seasonal streamflow forecast...

Accurate short-to-subseasonal streamflow forecasts are becoming crucial for effective water management in an increasingly variable climate. However, streamflow forecast remains challenging over ...