Industrial AI Solutions Startup MakinaRocks Joins NVIDIA Inception


Reading time ( words)

MakinaRocks has joined NVIDIA Inception, a program designed to nurture startups revolutionizing industries with advancements in AI and data sciences. 

MakinaRocks, a startup based in Seoul and Silicon Valley, specializes in the emerging field of industrial AI software with a primary focus on anomaly detection and intelligent control technology. The company develops AI solutions to advance the productivity, sustainability, and reliability of complex manufacturing operations and facility maintenance in the manufacturing and energy sectors.

NVIDIA Inception is a virtual accelerator program that nurtures AI startups during critical stages of product development, prototyping and deployment. Every Inception member gets a custom set of ongoing benefits, such as NVIDIA Deep Learning Institute credits, marketing support and technology assistance, that provides startups with fundamental tools to help them grow.

Joining Inception will allow MakinaRocks to maximize the performance of its industrial AI solutions utilizing Inception resources, including AWS credits, helping ensure a stable development environment and enhancing MakinaRocks's technological competency. Joining Inception will support the accelerated development of MakinaRocks's new AI solutions for reliable manufacturing environments and operations. Further, the program offers the opportunity to collaborate with industry-leading experts and other AI-driven organizations. 

"NVIDIA has been pioneering AI by collaborating with distinguished startups shaping the AI ecosystem. We are pleased to join the NVIDIA Inception program and be a part of its innovative startup movement. MakinaRocks will continue its journey towards Industry 4.0, leveraging our proprietary machine learning solutions with NVIDIA's support," remarked Andre Yoon, co-CEO of MakinaRocks.

Share

Print


Suggested Items

Today’s MilAero Options: Outsourcing—‘Everybody’s Doing it’ Not so True Today

06/27/2016 | Marc Carter
There was a time, not so many decades ago, when that most commonly-stated mantra (“lower labor costs”) behind offshoring printed circuit fab (and some assembly) operations, still had some case-by-case validity.

New Tools for Human-Machine Collaborative Design

04/25/2016 | DARPA
Advanced materials are increasingly embodying counterintuitive properties, such as extreme strength and super lightness, while additive manufacturing and other new technologies are vastly improving the ability to fashion these novel materials into shapes that would previously have been extremely costly or even impossible to create.

Inkjet-printed Liquid Metal Could Bring Wearable Tech, Soft Robotics

04/08/2015 | Purdue University
New research shows how inkjet-printing technology can be used to mass-produce electronic circuits made of liquid-metal alloys for "soft robots" and flexible electronics.



Copyright © 2021 I-Connect007. All rights reserved.