Issue link: https://iconnect007.uberflip.com/i/1508761
OCTOBER 2023 I SMT007 MAGAZINE 13 by leveraging AI/ML/DL/NN, in conjunc- tion with ancillary technologies, to drive into seamlessly autonomous, intelligent cyber- physical systems effectively and reliably. To put a business case forward, the advancement of Industry 4.0: 1. Leads to the true materialization of "smart factory." 2. Shall be smart enough and consistently resilient to deliver intended efficiency and effectiveness to be globally competitive carrying a leading edge. Take another example on national defense and security, where AI will continue to play a heightened role in the efficiency and relevancy of military operations. In large- scale missions, the speed at which data and knowledge cas- cade is critical to the mission's success. Holistic command and control are yet to be developed. However, for unmanned aer- ial vehicles (UAV) or drones, AI enables real-time access to data, which offers preemptive decision-making and simplified command and control; swarms of drones will aid each other by overcoming jamming ploys. While generative AI adds another dimen- sion to semiconductor design and fabri- cation, chips are true differentiators to the capabilities and performance of making generative AI models in training and play- ing a mission-critical role in AI technology deployment. In sync with the CHIPS Act, the semiconductor could be catapulted by generative AI to a potentially phenomenal magnitude, which will create some intense dynamics. Considering the unparalleled velocity of AI development to harvest the tangible bene- fits from academia, national laboratories, and industry in a timely manner, the transitioning of scientific research and technology to real- world end-uses calls for an approach that is both creative and bold. AI Talents It's vital to fill key roles in AI development yet demand currently exceeds supply. We must embrace AI technology and stay in the core knowledge zone to nurture the proficient and competitive engineering workforce. e broad- based general knowledge of AI technology offers a consequential opportunity to our industry. To this end, I have developed a professional development course, "AI— Opportunities, Challenges, and Possibilities," with the goal of disseminating AI technology to the work- force and provide continuing education to the workforce of our industry. is short course will debut at SMTA International Conference & Exhibition on Oct. 9, offer- ing holistic coverage of AI in its systematic hierarchy with high-level overviews, as well as specific component tech- nologies/techniques and use-cases. e course topics include: • Background and diverse perspectives on AI • Current state of AI • Justified confidence in AI • Machine learning, deep learning, neural network, digital twin, IoT, and use cases for • Generative AI, Edge AI, OpenAI— ChatGPT, ChatGPT-4 • How transformers work and diffusion model • Scientific machine learning and examples in industry applications • Use cases for modeling/simulation, and digital twin The future of AI is a global race.