Chroma ATE Inc. was honored to participate in the inaugural IEEE AI4IM 2026, the IEEE Symposium on Artificial Intelligence for Instrumentation and Measurement, held in Amalfi, Italy. During the symposium, Chroma ATE delivered a presentation titled “Advanced Validation Technologies for AI Infrastructure.”
AI4IM serves as a valuable international platform for academic exchange while also inviting industry leaders to share practical AI use cases, helping bridge academic theory and real-world industrial practice. Drawing on its proven measurement technologies and hands-on experience in AI infrastructure validation, Chroma ATE introduced its four-layer AI infrastructure application framework, covering four critical areas: Compute, Thermal, Network, and Power. The presentation explored how precision electronic and optical measurement technologies can help leading global customers build more reliable and efficient AI data center infrastructure.
"Only through continuous innovation and close collaboration with our customers can we earn and retain their trust," said William Chang, Special Assistant to the CEO at Chroma ATE.
Chroma ATE also sponsored and presented the Best Paper Award at IEEE AI4IM 2026, supporting outstanding research in AI for instrumentation and measurement.
Congratulations to the winning paper:
DAEE: Degeneracy-Aware Entailment Entropy as Uncertainty Quantification for LLM-Assisted Measurements
…and the winning team:
Fan Wang (National Tsing Hua University, Taiwan); Shervin Shirmohammadi (University of Ottawa, Canada); Cheng-Hsin Hsu (National Tsing Hua University, Taiwan)
Chroma ATE extends its congratulations to all participating scholars and student presenters who contributed to the success of the event. Moving forward, Chroma ATE will continue to advance innovation in AI infrastructure validation, testing, and measurement technologies, working together with academia and industry to support the development of trustworthy AI.
▲ Chroma ATE presents “Advanced Validation Technologies for AI Infrastructure” at IEEE AI4IM 2026.
▲ Congratulations to Fan Wang on receiving the Best Paper Award.
Pictured from left to right: Shervin Shirmohammadi (AI4IM General Co-Chair, IMS President), Fan Wang, and William Chang representing Chroma ATE.
