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GSI Technology Takes Home First Prize in MAFAT Radar Challenge
SUNNYVALE, Calif., Jan. 06, 2021 (GLOBE NEWSWIRE) -- GSI Technology, Inc. (Nasdaq: GSIT), a leading provider of high-performance memory solutions for the
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[{"type":"text","content":"SUNNYVALE, Calif., Jan. 06, 2021 (GLOBE NEWSWIRE) -- GSI Technology, Inc. (Nasdaq: GSIT), a leading provider of high-performance memory solutions for the networking, telecommunications and military markets, and developer of the Gemini® Associative Processing Unit (APU) for artificial intelligence, today announced that it has been awarded first prize in the MAFAT Radar Challenge. GSI Technology was awarded the $25,000 Grand Prize after passing all the competition’s formal and technical eligibility tests. The participants’ challenge consisted of distinguishing between humans and animals in radar signal segments. The challenge provided a rare glimpse of radar signals and its challenges. GSI Technology overcame this challenge through visualization and data manipulation using classic CNN (convolutional neural network) models. For more insights on the challenge, read GSI Technology’s blog post here. “We are thrilled to be awarded first prize in this very exciting competition, and we would like to thank the MAFAT team for the well-structured material and informative resources they provided to the contestants,” said Lee-Lean Shu, GSI Technology's Chairman and CEO. “I’d also like to acknowledge the leadership of Daphna Idelson and the GSI team throughout this challenge. This project offered a valuable chance to work with radar signals and their unique challenges—and proved that the GSI team can tackle these challenges with our highly adaptable APU software. This award highlights our chip design capabilities and our strength in software solutions for complex, novel applications. We look forward to participating in the next MAFAT Challenge.” This year’s MAFAT Radar Challenge focused on the classification of living, non-rigid objects detected by doppler-pulse radar systems. This was the second competition in the MAFAT Challenge series in the field of data science sponsored by the Israeli Ministry of Defense Directorate of Defense Research and Development. The competition was fully open to the academic and industry sectors, as well as to the general public. This effort highlights the value of AI in helping glean intelligence from basic sensor input, which normally is used to detect distance of objects being used to classify the objects themselves. The competition hosted more than 1,000 registered participants and received more than 4,300 sub...