article thumbnail

This AI Research Presents a Physics-Based Deep Learning for Predicting IFP and Liposome Accumulation

Marktechpost

In the pursuit of refining cancer therapies, researchers have introduced a groundbreaking solution that significantly elevates our comprehension of tumor dynamics. This study centers on precisely predicting intratumoral fluid pressure (IFP) and liposome accumulation, unveiling a pioneering physics-informed deep learning model.

article thumbnail

Revolutionizing Protein Design: How This AI Research Boosted Success Rates 10-Fold with Deep Learning Enhancements

Marktechpost

This involves the use of Machine Learning and Deep Learning models in this domain. The team of research scientists used deep learning techniques to predict the molecules with a 10 times increase in size as the previously obtained molecules.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Google DeepMind Researchers Introduce TacticAI: A New Deep Learning System that is Reinventing Football Strategy

Marktechpost

AI researchers are taking the game to a new level with geometric deep learning. DeepMind Researchers introduce TacticAI, an AI assistant designed to optimize one of football’s biggest set-piece weapons: the corner kick. All credit for this research goes to the researchers of this project.

article thumbnail

This AI Research Review Explores the Integration of Satellite Imagery and Deep Learning for Measuring Asset-Based Poverty

Marktechpost

Conducting an integrative literature review, the study analyzes 32 studies meeting specific criteria in poverty prediction, survey data, satellite imagery, and deep neural networks. The use of attribution maps in explaining deep-learning imaging models is discussed, and the study assesses model properties for interpretability.

article thumbnail

Meet Netron: A Visualizer for Neural Network, Deep Learning and Machine Learning Models

Marktechpost

Exploring pre-trained models for research often poses a challenge in Machine Learning (ML) and Deep Learning (DL). Without this framework, comprehending the model’s structure becomes cumbersome for AI researchers.

article thumbnail

Deep Learning in Human Activity Recognition: This AI Research Introduces an Adaptive Approach with Raspberry Pi and LSTM for Enhanced, Location-Independent Accuracy

Marktechpost

University Teknikal Malaysia Melaka (UTeM) researchers have formulated an approach to Human Activity Recognition (HAR) to tackle traditional limitations. They have introduced a system that leverages Channel State Information (CSI) and advanced deep learning techniques. If you like our work, you will love our newsletter.

article thumbnail

Meet SPACEL: A New Deep-Learning-based Analysis Toolkit for Spatial Transcriptomics

Marktechpost

To overcome these limitations, a group of researchers headed by Prof. Qu Kun from the University of Science and Technology of the Chinese Academy of Sciences has created a solution called Spatial Architecture Characterization by Deep Learning (SPACEL). The first module, Sprint, tackles the cell-type deconvolution task.