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AI-Driven Medical Breakthrough: Leveraging Artificial Intelligence for Novel Drug Discovery

Unite.AI

Compared to previous ranking techniques, AI-based approaches are more effective at identifying the most promising candidates. For instance, researchers have developed a Deep Learning-based computational framework to identify and prioritize novel drugs for Alzheimer’s disease.

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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.

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

Marktechpost

It’s being reshaped by an unexpected force: artificial intelligence. 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.

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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.

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Amazon Researchers Introduce Fortuna: An AI Library for Uncertainty Quantification in Deep Learning

Marktechpost

The recent developments in the fields of Artificial Intelligence and Machine Learning have made everyone’s lives easier. With their incredible capabilities, AI and ML are diving into every industry and solving problems. Overconfidence is a prevalent issue, particularly in the context of deep neural networks.

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Meet Relational Deep Learning Benchmark (RelBench): A Collection of Realistic, Large-Scale, and Diverse Benchmark Datasets for Machine Learning on Relational Databases

Marktechpost

In the rapidly advancing fields of Artificial Intelligence (AI) and Machine Learning (ML), finding effective, automated, and adaptable approaches has become significantly crucial. This end-to-end deep representation learning technique can handle data that is dispersed across several tables.

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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.