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Artificial intelligence and machine learning (AI/ML) offer the unparalleled ability to recognize complex patterns and make decisions quickly. Consequently, companies are quickly adding AI/ML inference capabilities to a wide range of products—and there are many chip vendors in the market ready to help.

MemryX’s edge AI chips have broad application in the transportation, IoT, robotic, industrial, and edge computing industries. They feature high-performance and low-latency AI processing using

MemryX Inc., a pioneering startup focused on accelerating artificial intelligence (AI) processing for edge devices, announced it has formed a partnership with Cachengo, a leading

MemryX Inc., a pioneering startup focused on accelerating artificial intelligence (AI) processing for edge devices, announced it has formed a partnership with Edge Impulse, the

Edge AI plays a vital role in ensuring real-time data processing and ensuring high-performance data computation on IoT devices. However, most Edge AI solutions available in the market require tremendous configuration during implementation, and they are also not scalable.

The opening of the Bangalore site is complementary to existing MemryX engineering capabilities in Taipei, Hsinchu, and Ann Arbor. MemryX offers a differentiated high efficiency, low power, and scalable

Wei Lu named Distinguished University Innovator of the Year

Talking with Keith Kressin, President and CEO of MemryX, which a new low-power AI startup focused on the edge.

Artificial Intelligence (AI) is all around us, in the cars we drive to the smartphones we use, powering our most favored or despised apps. Consequently,

ANN ARBOR, Mich. – Aug. 10, 2022 – MemryX Inc., a pioneering start-up that designs breakthrough silicon for artificial intelligence (AI) processing for edge devices,

As interest in artificial intelligence (AI) and in-memory computing significantly increases, resistive random-access memory (ReRAM) could be the key to unlocking their ability to imitate