Lenovo ThinkCentre Neo Ultra to include AI Accelerator from MemryX

Since Intel doesn’t plan a desktop CPU with AI capabilities until later this year, PC makers are turning to chip startups instead –and the future may be in the Lenovo ThinkCentre Neo Ultra, potentially with AI cards from MemryX and Kinara inside. Lenovo will launch the ThinkCentre Neo Ultra in June for about $1,000, product [...]

By |2024-01-30T08:13:52-05:00January 30th, 2024|

MemryX and Edge Impulse Integrate Tools to Accelerate AI Hardware Development

ANN ARBOR, Mich.--(BUSINESS WIRE)--Edge Impulse, the world's leading AI developer platform, and MemryX, the world's leading AI hardware-based accelerator, together are transforming the AI workflow by streamlining the development, testing, and deployment of AI models. Developing and deploying AI models to edge-based hardware has always been a complex challenge for enterprises and developers. The process [...]

By |2023-10-31T11:06:37-05:00October 31st, 2023|

MemryX Inc. and Cachengo Partner to Deliver High-Performance, Scalable Analytics and Artificial Intelligence Platform

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 AI hardware and software provider, to be the exclusive provider of artificial intelligence processors for their modular compute and storage servers. Cachengo's modular edge servers are optimized for local computer [...]

By |2023-05-31T07:59:22-05:00May 31st, 2023|

MemryX in Ann Arbor Opens R&D Center in Bangalore, India

MemryX Inc. in Ann Arbor, a startup focused on accelerating artificial intelligence (AI) processing for edge devices, today announced it has opened an engineering center in Bangalore, India. “As the world continues to become more reliant on AI, many traditional chip makers continue to extend existing architectures and make difficult tradeoffs in terms of power, [...]

By |2022-12-30T09:38:56-05:00December 30th, 2022|

MemryX Is A New AI Company We Actually Need

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, one of the major growth drivers in the semiconductor industry is AI. It’s everywhere and revolutionizing the way humans interact with the modern world, from the datacenter to the device [...]

By |2022-08-12T12:08:42-05:00August 12th, 2022|

Qualcomm’s AI chip chief departs to take helm at startup MemryX

Dec 8 (Reuters) - Keith Kressin, the executive who oversaw Qualcomm Inc's (QCOM.O) artificial intelligence chip efforts, has left to take the top job at a Michigan-based semiconductor startup. Kressin has become chief executive of MemryX, founded in 2019 by University of Michigan professors Wei Lu and Zhengya Zhan, the company told Reuters. MemryX is working on [...]

By |2021-12-08T14:15:15-05:00December 8th, 2021|

MemryX Inc. Closes Series A Financing and Prepares to Transform AI and Edge Applications

Ann Arbor, Michigan May 12th, 2021 – MemryX Inc. announced it has raised Series A funding to further develop novel, in-memory chips to enable AI applications in edge devices. The company now plans to scale the commercialization of its patented Memory Processing Unit (MPU) architecture and sample product-level chips to leading OEMs across the automotive, edge-compute, [...]

By |2021-06-25T09:25:07-05:00June 25th, 2021|

MemryX develops first programmable memristor computer which aims to bring AI processing down from the cloud

ANN ARBOR—The first programmable memristor computer—not just a memristor array operated through an external computer—has been developed at the University of Michigan. It could lead to the processing of artificial intelligence directly on small, energy-constrained devices such as smartphones and sensors. A smartphone AI processor would mean that voice commands would no longer have to [...]

By |2021-02-06T14:48:52-05:00August 9th, 2019|

MemryX Positioned Well as AI Needs Memory for AI Edge Computing

This presents a totally different way of doing AI because it’s not dependent on the massive training capacity in the cloud if an unexpected event occurs that needs quick decision making, such as a traffic scenario where safety is a concern, Dubois said. Enabling more machine learning at the edge jives with the Forrester Research [...]

By |2019-03-15T11:43:29-05:00March 15th, 2019|
Go to Top