DENSO International America, Magna International, Others Invest in THINCI

 

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7 October 2016, USA :

THINCI Inc., an innovative deep-learning, vision processing startup announced a round of funding led by global automotive supplier DENSO International America, Inc. Financing from Magna International Inc., and other individual investors.

It will accelerate the final development of THINCI’s innovative silicon and software technology that will improve electronics for enabling driver assistance and autonomous driving, for improving efficiency of thermal systems, and for optimizing the productivity of the powertrain.

“DENSO has been researching new developments in the area of computer vision processing, and our investment in ThinCI represents a strong belief that ThinCI’s technology will soon become a key component of next generation autonomous driving systems that require advanced computing techniques combined with deep learning capabilities,” said Tony Cannestra, DENSO International.

The technology will also find ready application in a wide variety of everyday products. These include personal electronics as well as products that will enable smarter home, office, commercial places of business, industrial concerns, and even the infrastructure of the modern world.

It is clear that deep machine learning technology will affect almost all aspects of our lives,” declared Dado Banatao, Managing Partner, Tallwood Venture Capital and Chairman of the Board of THINCI Inc. “I am very confident THINCI’s implementation of vision and deep machine learning will be the preferred solution in this space. DENSO’s investment is another sign of the rapidly building interest in this groundbreaking technology.

THINCI Inc. is a venture-backed, deep-learning vision processing start-up based in El Dorado Hills, California with teams in California and Hyderabad, India. The company was founded by a highly skilled management team with years of experience in massively parallel processing architectures and the software structures to execute on these computing engines. Image- autonews.com

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