This next-generation multimedia streaming platform combines edge AI computing with a high-performance Cortex A7 processor, built-in GPDLA (Geometry Display Area Network) and system-level DDR2 or LPDDR2. Developers can easily deploy their completed AI models to GPDLA using a conversion tool, executing tasks at a power efficiency of less than 1W.
Developers can easily deploy their completed AI models to GPDLA through a conversion tool, executing tasks at a low power consumption of less than 1W and outputting results via wireless, HDMI, LCD/MIPI, etc. Alternatively, customers with different application scenarios can choose existing AI algorithms developed by Lingtong Technology in collaboration with AI algorithm developers and quickly deploy them into application products, accelerating AI implementation.
Lingtong Technology was established in March 2004 in Yongchang Technology Park. Lingtong Technology primarily focuses on the research, development, and marketing of consumer integrated circuit products. The company possesses IC circuit design and application software design expertise, including embedded memory, analog IP, and DSP. Our goal is to commercialize high-tech products so that people can enjoy the joy, comfort, and convenience they bring.
Name:Gary Wang
Phone:03-6662118#2307
Address:No. 19, Gongye E. 4th Rd., East Dist., Hsinchu City 300093, Taiwan (R.O.C.)
Simulating Large-Scale Quantum Computing Systems with High-Speed Non-Volatile Memory Arrays
Integrated Multiple Machine Learning and Deep Learning Algorithms to Construct Prediction Model of Incident Cardiac Dysrhythmia and Coronary Heart Disease
Control system for drinking water filtration and remineralization applications to generate targeted output rates in corresspondence with sensor feedback and software
Development of AI assisted assessment and intervention system based on the culture contextualization for care of people with neurocognitive disoder.
Technology maturity:Mass production
Exhibiting purpose:Product promotion
Trading preferences:Negotiate by self
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