Guest Editors
Prof. Hamed Taherdoost, University Canada West, Canada
Summary
The landscape of high-tech research and development (R&D) is being revolutionized by artificial intelligence (AI). AI technologies are enhancing the capabilities of researchers and developers, leading to unprecedented advancements in fields such as biotechnology, nanotechnology, aerospace, and more. AI accelerates the R&D process by automating complex tasks, optimizing experimental designs, and providing predictive analytics that inform decision-making. Moreover, AI-driven simulations and modeling are reducing the time and cost associated with prototyping and testing new technologies. As AI continues to integrate into high-tech R&D, it brings forth new ethical considerations and the need for comprehensive governance frameworks to ensure its responsible application.
This special issue delves into the transformative role of AI in advanced high-tech R&D, highlighting case studies of successful AI integration, exploring the potential for future innovations, and addressing the ethical and regulatory challenges that accompany the use of AI in cutting-edge research. Topics include AI-enhanced experimental methodologies, the role of AI in interdisciplinary research, and strategies for managing AI's impact on the high-tech innovation ecosystem.
Keywords
AI-Driven R&D
High-Tech Innovation
AI in Experimental Design
Predictive Analytics in R&D
Predictive Analytics
AI-Driven Simulations
AI-Driven Research
Experimental Automation
AI-Optimized Experimental Design
Ethical AI Governance
AI-Enhanced Prototyping
Interdisciplinary AI Applications
AI Governance Frameworks
High-Tech Innovation
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