Advanced Interconnect, Inc. joined the Woodhead Industries group of companies in 1990, and FOCS, Inc. joined the group in 1993. In 1994, the two companies combined into a single organization, AI/FOCS, Inc. This merging significantly improved the ability to fill the needs of customers quickly with premium-quality products. AI develops, manufactures, and sells fiber optic and copper based interconnect solutions and value added modules for OEMs in the computer, high data rate networking, data storage, telecommunications, internet hardware, and medical sectors of the electronics industry. In July of 2001, the company name was changed to Advanced Interconnect, Inc.
Speed and quality remain AI's competitive advantages. AI is capable of producing custom copper cable assembly prototypes and limited first production runs in two days, and can make same-day shipments of many styles of custom fiber optic cable assemblies. AI uses the latest in polishing equipment and tests 100% of cable assemblies before shipment. Customers often take advantage of Advanced Interconnect's consultation in the early stages of product development, thus producing a better cable assembly while reducing costs.
The Thermo Scientific™ ARL™ EQUINOX 3000 X-ray Diffractometer for research enables accurate measurements.
KLA’s Filmetrics F40 allows you to transform your benchtop microscope into an instrument to measure thickness and refractive index.
This product profile describes the properties and applications of the ProMetric® I-SC Solution Imaging Colorimeter.
Dr. David Dung
We spoke with University of Bonn spin-off Midel Photonics, a start-up company whose laser beam shaping technology is hoping to sharpen up the laser industry.
Matthias Sachsenhauser, Ph.D.
Following Laser World of Photonics 2022, we spoke with Matthias Sachsenhauser from Hamamatsu Photonics about the role of laser-driven light sources in the future of the photonics sector.
Dr. Keith Paulsen
AZoOptics speaks to Dr. Keith Paulsen about the importance of breast cancer detection and the introduction of his team's deep-learning algorithm that associates spatial images of tissue optical properties with optical signal patterns measured during an imaging experiment or patient exam.