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This AI Research Revolutionizes Silicon Mach–Zehnder Modulator Design Through Deep Learning and Evolutionary Algorithms

Marktechpost

The results obtained are intriguing and demonstrate the potential of the proposed design method; however, the work could be expanded to more complex MZM models, such as including the electrode-related parameters, or to test other heuristic optimization algorithms, such as particle swarm optimization or genetic algorithms.

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Meet PyPose: A PyTorch-based Robotics-Oriented Library that Provides a Set of Tools and Algorithms for Connecting Deep Learning with Physics-based Optimization

Marktechpost

Deep learning is finding its utility in all aspects of life. The data-centric nature of deep learning impedes its ability to generalize effectively in the face of continually changing surroundings.’ PyPose is a powerful example of blending age-old robotics techniques with the latest innovations in deep learning.

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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.

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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.

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This AI Paper Identifies Popular Dynamics in Behavioral and Physiological Smartphone Authentication and their Performance with Various Deep Learning and Machine Learning Algorithms

Marktechpost

Researchers have been exploring behavioral and physiological biometrics for enhancing mobile device security. Incorporating machine learning and deep learning algorithms has shown promise in bolstering security. It builds upon previous research in this field and identifies trends in authentication dynamics.

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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.

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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.