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Researchers at Michigan State University Developed ‘DANCE,’ a Python Library to Support Deep Learning Models for Analyzing Single-Cell Gene Expression at Scale Tanushree Shenwai Artificial Intelligence Category – MarkTechPost

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​ From single-modality profiling (RNA, protein, and open chromatin) to multimodal profiling and spatial transcriptomics, the technology for analyzing single cells has advanced rapidly in recent years. A proliferation of computational approaches, especially those based on machine learning, has been thus prompted by the rapid… Read More »Researchers at Michigan State University Developed ‘DANCE,’ a Python Library to Support Deep Learning Models for Analyzing Single-Cell Gene Expression at Scale Tanushree Shenwai Artificial Intelligence Category – MarkTechPost

Top Tools For Machine Learning Simplification And Standardization Prathamesh Ingle Artificial Intelligence Category – MarkTechPost

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​ Artificial intelligence and machine learning are two innovative leaders as the world benefits from technology’s draw to sectors globally. Choosing which tool to use can be difficult because so many have gained popularity in the market to stay competitive. You choose your future when… Read More »Top Tools For Machine Learning Simplification And Standardization Prathamesh Ingle Artificial Intelligence Category – MarkTechPost

Researchers From China Proposed A Novel μXRD Image Screening Method Based On Federated Learning (FL) To Improve The Screening While Protecting Data Privacy Ashish kumar Artificial Intelligence Category – MarkTechPost

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​ Federated learning provides a mechanism to unleash data to fuel new AI applications by training AI models without letting anyone see or access your data. Industrial minerals are subjected to synchrotron X-ray microdiffraction (XRD) services to determine their crystal impurities in terms of crystallinity… Read More »Researchers From China Proposed A Novel μXRD Image Screening Method Based On Federated Learning (FL) To Improve The Screening While Protecting Data Privacy Ashish kumar Artificial Intelligence Category – MarkTechPost

AI Researchers At Mayo Clinic Introduce A Machine Learning-Based Method For Leveraging Diffusion Models To Construct A Multitask Brain Tumor Inpainting Algorithm Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

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​ The number of AI and, in particular, machine learning (ML) publications related to medical imaging has increased dramatically in recent years. A current PubMed search using the Mesh keywords “artificial intelligence” and “radiology” yielded 5,369 papers in 2021, more than five times the results… Read More »AI Researchers At Mayo Clinic Introduce A Machine Learning-Based Method For Leveraging Diffusion Models To Construct A Multitask Brain Tumor Inpainting Algorithm Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

Top Data Warehousing Tools in 2023 Prathamesh Ingle Artificial Intelligence Category – MarkTechPost

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​ A data warehouse is a data management system for data reporting, analysis, and storage. It is an enterprise data warehouse and is part of business intelligence. Data from one or more diverse sources is stored in data warehouses, which are central repositories. Data warehouses… Read More »Top Data Warehousing Tools in 2023 Prathamesh Ingle Artificial Intelligence Category – MarkTechPost

A New AI Research from China Proposes Meta-Transformer: A Unified AI Framework for Multimodal Learning Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

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​ The human brain, regarded as the paradigm for neural network theories, concurrently processes information from various sensory inputs, such as visual, auditory, and tactile signals. Additionally, understanding from one source might help knowledge from another. However, due to the huge modality gap in deep… Read More »A New AI Research from China Proposes Meta-Transformer: A Unified AI Framework for Multimodal Learning Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

Resolving the Mixing Time of the Langevin Algorithm to its Stationary Distribution for Log-Concave Sampling Apple Machine Learning Research

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​Sampling from a high-dimensional distribution is a fundamental task in statistics, engineering, and the sciences. A canonical approach is the Langevin Algorithm, i.e., the Markov chain for the discretized Langevin Diffusion. This is the sampling analog of Gradient Descent. Despite being studied for several decades… Read More »Resolving the Mixing Time of the Langevin Algorithm to its Stationary Distribution for Log-Concave Sampling Apple Machine Learning Research