KAUST has launched vFabLab™, its first virtual lab, to provide online distance learning for semiconductor fabrication. The virtual environment trains users on end-to-end device fabrication sequences using CMOS technology. Developed by KAUST's CEMSE division, each training session includes an interactive Q&A. Why it matters: This virtual lab expands access to crucial experimental modules in semiconductor fabrication, particularly benefiting students and enthusiasts lacking access to expensive cleanroom facilities in the region.
KAUST's Prototyping Core Lab, inaugurated in November 2018, offers tools from 3D printers to CNC machines, with expert support for users. The lab has registered over 260 users and delivered 300 training sessions since opening. It supports KAUST programs like hackathons and accelerators, aiding startups such as NOMADD and Sadeem. Why it matters: This lab fosters innovation and entrepreneurship within KAUST and across Saudi Arabia by providing essential prototyping resources and expertise.
KAUST has established the KAUST Quantum Foundry to strengthen Saudi Arabia’s ability to fabricate commercial quantum hardware. It will provide shared access to KAUST quantum cleanrooms, supporting device prototyping and process development. The Foundry will focus on process standardization and the development of Process Design Kits (PDKs) to enable researchers to design and fabricate devices. Why it matters: This initiative reinforces KAUST's role as a national hub for advanced research infrastructure and supports Saudi Arabia’s long-term innovation priorities in quantum technologies.
KAUST's Core Labs has launched a Machinist Apprenticeship Development Program. The program aims to train machinists. No further details about the program are provided in the announcement. Why it matters: This apprenticeship program could help develop skilled technical talent in Saudi Arabia, contributing to the Kingdom's technology and manufacturing sectors.
KAUST's Visualization Core Lab (KVL) has released inshimtu, a pseudo in situ visualization system for scientists working with large datasets and supercomputer simulations. Inshimtu simplifies the implementation of in situ visualization by using existing simulation output files without requiring changes to the simulation code. It helps scientists determine if implementing a full in situ visualization into their code is worthwhile. Why it matters: This open-source tool can improve the efficiency of supercomputing research in the region by allowing researchers to assess the value of in situ visualization before fully committing to it.