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    Harnessing AI and Machine Learning for Automation Testing
    As we enter the age of smart technologies, automated testing has become an indispensable part of modern software development. As the demand for quick and reliable testing grows, integrating AI tools into creating test scripts is becoming a standard practice. Creating efficient test scripts requires a thorough comprehension of the application's design, a strategic approach to tackle different test scenarios, and the ability to modify scripts to adjust to changes in the application. Traditional methods often involve a significant amount of manual work, which can introduce errors and cause delays in the testing process. This is where using AI and related tools revolutionizes the testing landscape. This article explores the significance of AI and ML for automated testing and how it can transform the way testing is executed across various frameworks. Role of AI in Software Testing The role of AI in software testing has skyrocketed since the pandemic. Valued at $736.8 million in 2023, the AI-enabled testing market is expected to grow at a whopping CAGR of 20.7% by the end of 2030. On top of offering some basic enhancements to the testing processes, – improved accuracy, automation of repetitive tasks, enhanced efficiency, etc. - AI-powered tools provide some advanced features to escalate the way testing is executed: Natural Language Processing (NLP): In the coming years, NLP will emerge as a crucial trend that will revolutionize software testing by enabling efficient analysis and automation. AI systems can comprehend and generate test cases, bug reports, and documentation in natural language. This improves communication between machines [...]
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  • NLP và Machine Learning có ứng dụng trong nhiều lĩnh vực, từ chatbot hỗ trợ khách hàng, dự đoán thị trường tài chính, đến dịch thuật tự động và phân loại tin tức.

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  • ML có khả năng khám phá thông tin ẩn trong dữ liệu và tìm ra mẫu phức tạp mà con người có thể không thể nhận biết được.

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    Machine learning là một khái niệm phổ biến trong lĩnh vực trí tuệ nhân tạo. Cùng Bizfly tìm hiểu machine learning là gì và ứng dụng của nó trong đời sống tại đây.
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  • Deep Learning in Drug Discovery market Analysis and Trends by 2022-2035

    The traditional statistical tools and techniques available for medical data interpretation are known to be associated with challenges related to time and cost.

    This has prompted industry stakeholders to explore the applications of deep learning-based technologies, specifically across drug discovery and diagnosis. In addition, recent investments made in this domain are likely to offer lucrative opportunities to companies offering deep learning-based technologies / solutions within the healthcare industry.

    The financial opportunity associated with cell therapy manufacturing market has been analyzed across the following segments:
     Therapeutic Area
     Oncological Disorders
     Infectious Diseases
     Neurological Disorders
     Immunological Disorders
     Endocrine Disorders
     Cardiovascular Disorders
     Respiratory Disorders
     Ophthalmic Disorders
     Musculoskeletal Disorders
     Inflammatory Disorders
     Other Disorders

     Key Geographical Regions
     North America
     Europe
     Asia Pacific
     Rest of the World

    The Deep Learning in Drug Discovery and Deep Learning in Diagnostics Market (2nd Edition), 2023-2035 report features the following companies, which we identified to be key players in this domain:
     Aegicare
     Aiforia Technologies
     Ardigen
     Berg
     Google
     Huawei
     Merative
     Nference
     NVIDIA
     Owkin
     Phenomic AI
     Pixel AI


    Table of Contents

    1. PREFACE

    2. EXECUTIVE SUMMARY

    3. INTRODUCTION

    4. MARKET OVERVIEW: DEEP LEARNING IN DRUG DISCOVERY

    5. MARKET OVERVIEW: DEEP LEARNING IN DIAGNOSTICS

    6. COMPANY PROFILES

    7. PORTER’S FIVE FORCES ANALYSIS

    8. CLINICAL TRIAL ANALYSIS

    9. FUNDING AND INVESTMENT ANALYSIS

    10. START-UP HEALTH INDEXING

    11. COMPANY VALUATION ANALYSIS

    12. MARKET SIZING AND OPPORTUNITY ANALYSIS: DEEP LEARNING IN DRUG DISCOVERY

    13. MARKET SIZING AND OPPORTUNITY ANALYSIS: DEEP LEARNING IN DIAGNOSTICS

    14. DEEP LEARNING IN HEALTHCARE: EXPERT INSIGHTS

    15. CONCLUDING REMARKS

    16. INTERVIEW TRANSCRIPTS

    17. APPENDIX 1: TABULATED DATA

    18. APPENDIX 2: LIST OF COMPANIES AND ORGANIZATIONS

    To view more details on this report, click on the link
    https://www.rootsanalysis.com/reports/view_document/deep-learning-in-drug-discovery-market/156.html

    You may also be interested in the following titles:
    Cannabis Testing Market
    Unlocking the Potential of Digital Twins in Healthcare: Benefits, Challenges and Opportunities
    Cell Therapy Media Market, Cell Therapy Kits Market, Cell Therapy Reagents Market and Cell Therapy Surface Market
    Roots Analysis Consulting - the preferred research partner for global firms

    About Roots Analysis
    Roots Analysis is a global leader in the pharma / biotech market research. Having worked with over 750 clients worldwide, including Fortune 500 companies, start-ups, academia, venture capitalists and strategic investors for more than a decade, we offer a highly analytical / data-driven perspective to a network of over 450,000 senior industry stakeholders looking for credible market insights.

    Contact:
    Ben Johnson
    +1 (415) 800 3415
    [email protected]

    #machinelearning #deeplearning #machinelearningalgorithms #Market Reseach #Market Insights

    Deep Learning in Drug Discovery market Analysis and Trends by 2022-2035 The traditional statistical tools and techniques available for medical data interpretation are known to be associated with challenges related to time and cost. This has prompted industry stakeholders to explore the applications of deep learning-based technologies, specifically across drug discovery and diagnosis. In addition, recent investments made in this domain are likely to offer lucrative opportunities to companies offering deep learning-based technologies / solutions within the healthcare industry. The financial opportunity associated with cell therapy manufacturing market has been analyzed across the following segments:  Therapeutic Area  Oncological Disorders  Infectious Diseases  Neurological Disorders  Immunological Disorders  Endocrine Disorders  Cardiovascular Disorders  Respiratory Disorders  Ophthalmic Disorders  Musculoskeletal Disorders  Inflammatory Disorders  Other Disorders  Key Geographical Regions  North America  Europe  Asia Pacific  Rest of the World The Deep Learning in Drug Discovery and Deep Learning in Diagnostics Market (2nd Edition), 2023-2035 report features the following companies, which we identified to be key players in this domain:  Aegicare  Aiforia Technologies  Ardigen  Berg  Google  Huawei  Merative  Nference  NVIDIA  Owkin  Phenomic AI  Pixel AI Table of Contents 1. PREFACE 2. EXECUTIVE SUMMARY 3. INTRODUCTION 4. MARKET OVERVIEW: DEEP LEARNING IN DRUG DISCOVERY 5. MARKET OVERVIEW: DEEP LEARNING IN DIAGNOSTICS 6. COMPANY PROFILES 7. PORTER’S FIVE FORCES ANALYSIS 8. CLINICAL TRIAL ANALYSIS 9. FUNDING AND INVESTMENT ANALYSIS 10. START-UP HEALTH INDEXING 11. COMPANY VALUATION ANALYSIS 12. MARKET SIZING AND OPPORTUNITY ANALYSIS: DEEP LEARNING IN DRUG DISCOVERY 13. MARKET SIZING AND OPPORTUNITY ANALYSIS: DEEP LEARNING IN DIAGNOSTICS 14. DEEP LEARNING IN HEALTHCARE: EXPERT INSIGHTS 15. CONCLUDING REMARKS 16. INTERVIEW TRANSCRIPTS 17. APPENDIX 1: TABULATED DATA 18. APPENDIX 2: LIST OF COMPANIES AND ORGANIZATIONS To view more details on this report, click on the link https://www.rootsanalysis.com/reports/view_document/deep-learning-in-drug-discovery-market/156.html You may also be interested in the following titles: Cannabis Testing Market Unlocking the Potential of Digital Twins in Healthcare: Benefits, Challenges and Opportunities Cell Therapy Media Market, Cell Therapy Kits Market, Cell Therapy Reagents Market and Cell Therapy Surface Market Roots Analysis Consulting - the preferred research partner for global firms About Roots Analysis Roots Analysis is a global leader in the pharma / biotech market research. Having worked with over 750 clients worldwide, including Fortune 500 companies, start-ups, academia, venture capitalists and strategic investors for more than a decade, we offer a highly analytical / data-driven perspective to a network of over 450,000 senior industry stakeholders looking for credible market insights. Contact: Ben Johnson +1 (415) 800 3415 [email protected] #machinelearning #deeplearning #machinelearningalgorithms #Market Reseach #Market Insights
    WWW.ROOTSANALYSIS.COM
    Deep Learning Market Size, Share, Trends and Forecast (2035)
    Deep learning market, specifically for drug discovery and diagnostics, has presence of over 200 companies and is anticipated to grow at over 20% CAGR till 2035
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