A talk at the Directed Energy Research Center (DERC) at TII will discuss rapid prototyping using laser-cutting facilities available at MakerSpace in Al Zeina. The talk will cover constructing prototypes from wood and acrylic and compare this approach to traditional 3D printing. The speakers will also describe the impact of the ‘4th Industrial Revolution’ on manufacturing in the UAE, and how makerspaces can contribute to Operation 300bn. Why it matters: This highlights the UAE's focus on advanced manufacturing and the role of makerspaces in fostering innovation and developing local capabilities.
This article discusses the application of AI in semiconductor chip design and manufacturing, with a focus on examples such as IR-drop estimation and lithography processes. It mentions Youngsoo Shin, a KAIST professor and founder of Baum, who is an expert in this area. The article also briefly mentions panel discussion hosted by MBZUAI. Why it matters: AI-driven chip design and manufacturing could accelerate semiconductor innovation in the GCC region and beyond.
KAUST researchers are exploring novel chemical reactors and separation processes using mathematical design, with a focus on time and shape variables to enhance transport, heat transfer, and mass transfer. By aligning design, modeling, and 3D printing, they create customized shapes with great complexity and less material. This approach allows for the creation of bespoke reactors and separation processes tailored to specific applications, improving efficiency and reducing energy consumption. Why it matters: This research demonstrates the potential of advanced manufacturing techniques to revolutionize industrial design in the Middle East's chemical and pharmaceutical sectors.
KAUST researchers led by Dr. Gyorgy Szekely are developing selective porous membranes to replace energy-intensive separation techniques like distillation in the chemical manufacturing industry. These membrane processes could reduce energy consumption by up to 90% compared to traditional methods. Szekely's team uses AI to optimize separation materials by identifying patterns in previously fragmented data. Why it matters: This research has the potential to significantly reduce the environmental impact of chemical manufacturing, a sector known for its high energy consumption.
KAUST's Machinist Development Apprenticeship Program (MDAP) graduated its second cohort in August 2020, training Saudi nationals in advanced manufacturing technologies. The 18-month program provides in-depth training at the Workshops Core Lab in collaboration with Yanbu Industrial College. Graduates acquire skills to contribute to Saudi Arabia's Vision 2030 in the manufacturing sector. Why it matters: This program addresses the need for skilled local talent in advanced manufacturing, crucial for diversifying the Saudi economy and achieving its Vision 2030 goals.
The Technology Innovation Institute's (TII) Advanced Materials Research Center (AMRC) will host an in-person seminar titled ‘Additive Manufacturing the Future’ on May 19 in Abu Dhabi. The seminar will offer insights into additive manufacturing technologies and their applications across industries. Global experts will discuss advances and solutions driving Industry 4.0. Why it matters: The event highlights the UAE's growing focus on advanced manufacturing and its potential to become a hub for additive manufacturing technologies in the region.
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Sami Haddadin from the Technical University of Munich (TUM) discusses a shift in robotics towards machines that autonomously develop their own blueprints and controls. He highlights advancements driven by human-centered design, soft control, and model-based machine learning, enabling human-robot collaboration in manufacturing and healthcare. Haddadin also presents progress towards autonomous machine design and modular control architectures for complex manipulation tasks. Why it matters: This research has implications for advancing robotics and AI in the GCC region, especially in manufacturing and healthcare, by enabling safer and more efficient human-robot collaboration.