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  • InfoQ AI, ML and Data Engineering Trends Report - September 2024
    Another new entrant in the Innovators category is the AI-integrated hardware, which includes AI-enabled GPU infrastructure and AI-powered PCs, mobile phones, and edge computing devices
  • Building the next generation of hardware: Why AI-powered engineering . . .
    Today, AI is injecting new life into hardware design, balancing automation with human creativity in promising ways Human-in-the-loop systems let engineers retain creative control, a crucial aspect for those who value the artistry of engineering
  • What’s now and next in analytics, AI, and automation
    AI and Automation will provide a much-needed boost to global productivity and may help some ‘moonshot’ challenges The application of AI and the automation of activities can enable productivity growth and other benefits not just for businesses, but also for entire economies
  • Intel Labs Enables AI Innovation with Hardware-Aware Automated Machine . . .
    Hardware-aware AI automation enables rapid adoption of AI models for different deployments from mobile devices to client to cloud computing, simply by changing the target platform as input to the automated model design and optimization
  • 8 Key Industrial Automation Trends in 2025
    Our analysis of the 8 key industrial automation trends highlights the critical interplay between technological advancement and workforce development for manufacturers and producers seeking to achieve business success and gain a competitive edge
  • The need for hardware transformation for AI ML innovation - INDIAai
    Hence, we face the question of how to leverage AI innovations cost-effectively and match the ever-increasing compute power requirement The answer lies in technologies like 3D stacking, having them together in the same die, or on the same multi-chip module or system
  • 12 AI Tools Everyone is Using in 2025 - Analytics Vidhya
    LangGraph is built on top of LangChain and helps organize AI tasks using a graph-based structure It lets you design workflows where each step is clear and can include loops, branches, or memory SageMaker helps developers and data scientists build, train, and deploy machine learning models quickly It is Amazon’s cloud tool for building and using machine learning models It handles every part of the process, including preparing data, training models, and putting them into production
  • AI, ML, and Data Science: Shaping the Future of Automation - DZone
    AI, machine learning, and data science are transforming industries, driving automation, advancing innovation, addressing challenges like data privacy and bias
  • Key Innovations in AI ML Development: How Businesses Can Leverage . . .
    The rapid evolution of Artificial Intelligence (AI) and Machine Learning (ML) technologies has significantly impacted businesses across industries As we approach 2025, key innovations are transforming how companies operate, interact with customers, and develop new products
  • AI Data Science in 2025: Predictions Emerging Technologies
    Currently, machine-learning models automate data analysis for faster insights and improved decision-making Natural Language Processing (NLP) advances text evaluation, while deep learning increases photo recognition and forecasting analytics





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