January 17, 2025 - 20:00
GSI Technology has been awarded a $250,000 Small Business Innovation Research (SBIR) contract by the U.S. Army to advance military-grade artificial intelligence solutions. The contract focuses on the development of the Gemini-II Accelerated Processing Unit (APU), which is designed to enhance edge computing capabilities in military applications.
The Gemini-II APU boasts 2M-bit processors, enabling efficient data processing and decision-making in real-time scenarios. This technology aims to improve the Army's operational effectiveness by integrating advanced AI functionalities directly at the edge, where data is generated. By leveraging this innovative approach, military personnel can access critical information and insights more rapidly, enhancing situational awareness and response times in the field.
GSI Technology's commitment to providing robust and reliable AI solutions positions it as a key player in the defense technology sector, aiming to meet the evolving needs of modern warfare and military operations.
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Mercedes Unveils All-Electric GLC at IAA MobilityIn a significant move towards sustainable luxury, Mercedes has introduced the all-new 2026 electric GLC, showcasing its advanced EQ technology at the IAA Mobility event in Munich. This latest model...
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LightYX Secures $11 Million to Enhance Precision Laser TechnologyLightYX, an innovative construction technology firm based in Israel, has successfully completed a Series A funding round, raising $11 million. This significant investment was spearheaded by NOVA by...
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Pioneering AI Education in Texas: A Look at the BAT-CIT ProgramMcALLEN, Texas – The Bachelor of Applied Technology in Computer Information Technology (BAT-CIT) program at South Texas College is leading the charge in integrating Artificial Intelligence (AI)...
September 5, 2025 - 18:48
Enhancing Energy Storage Solutions for Data Center Power NeedsThe surging electricity demands of data centers are intensifying the need for improved grid resiliency and renewable energy initiatives. Projections indicate that data center energy consumption...