In the news release, ModelNova revolutionizes AI Application
Development for Small Devices, issued June
24, 2024 by embedUR systems over PR Newswire, we are advised
by the company that an additional quote needed to be added to the
release. The complete, corrected release follows:
ModelNova revolutionizes AI Application Development for Small
Devices
SILICON VALLEY,
Calif. , June 24, 2024 /PRNewswire/ -- From the
TinyML Summit in Milan Italy,
embedUR systems Inc., a leader in embedded systems and Edge AI, and
a TinyML sponsor partner, is thrilled to announce the launch of
ModelNova, a groundbreaking software hub catering for Edge AI
solutions.
ModelNova is a model zoo for pre-trained AI models, optimized
for different software frameworks and a variety of low-power
hardware platforms with and without native AI acceleration. This
innovative platform streamlines Edge AI product development,
enabling rapid prototyping and deployment of intelligent
applications on edge devices, in a fraction of the time it used to
take to develop Edge AI solutions from scratch.
ModelNova addresses a significant challenge faced by developers:
the complexity of selecting, creating, training, porting, and
optimizing AI models for different hardware platforms, especially
low-power IoT devices.
This is a critical process, upon-which the success of a project
largely depends. It requires extensive expertise in low-level
firmware, plus a deep understanding of the silicon they are trying
to optimize for, which is a rare skill set.
ModelNova bridges this gap by offering a diverse collection of
pre-trained models for AI Vision, Speech, Sound and more, which
have already been fine-tuned to run on multiple combinations of
hardware and software architectures.
Most AI models begin as academic research and open source
implementations trained with a particular dataset not ready for
real end product development. Leveraging our unique expertise in AI
and embedded software device integration to maximize performance
and minimize power usage, we have adapted the models for use in
real-world applications.
"Our platform removes the barriers to entry for AI prototyping
and development on low-powered devices, enabling engineers to focus
on innovation rather than the intricacies of hardware integration
and optimization", says John
Marconi, VP Technology at embedUR
Developers will be able to download models known to run on
hardware similar to what they have in mind to use, and quickly
evaluate the feasibility of their application. This dramatically
reduces the time required to build proof of concepts and validate
the hardware for Edge AI applications, allowing developers to move
from idea to proof of concept in days not months.
"We are excited to work with our partners and customers to speed
up product development, bringing AI solutions to more users.
ModelNova expands our offerings providing an easy path to new
innovative use-cases", said Rajesh C.
Subramaniam, Founder and CEO of embedUR.
"With its focus on models for resource-constrained devices,
ModelNova can accelerate the developer journey for IoT Edge AI, and
showcases what can be enabled on Synaptics' Astra™ AI-Native™
devices", said Vikram Gupta, Senior
Vice President and General Manager of IoT Processors, Chief Product
Officer, Synaptics
Key Benefits of ModelNova:
Rapid Prototyping: Developers can download pre-trained
models for functions similar to those needed by their application
and see how well they run on different platforms of choice.
Streamlined Development: Developers only need to adapt or
retrain existing models to perform new functions, which is a lot
less work than creating the model, in the first place.
Access to Edge AI Expertise: As integrators of these
models to the different platforms they run on, embedUR is available
to assist with model optimization, training for application
use-cases, and integration to target hardware to accelerate
productization.
"This is an exciting resource for the developer community,
unlocking new possibilities for developing edge AI solutions at a
much faster pace" said Pete Bernard,
Executive Director of the TinyML Foundation.
Silicon vendors and platform creators who are building new
AI-native hardware are encouraged to reach out to embedUR to have
ModelNova's library of models ported to and optimized on their new
devices.
ModelNova enables businesses in all sectors from healthcare to
agriculture to explore new market opportunities with minimal
upfront investment and risk.
Join ModelNova.ai today, and start validating your Edge AI
designs in days instead of months.
About embedUR systems Inc.:
Headquartered in Fremont, California, embedUR systems is a
leader in embedded systems and wireless technologies, specializing
in Wi-Fi, IoT, and TinyML. We are enabling the Intelligent Edge one
device at a time. We help businesses develop Edge AI solutions and
get to market fast.
By launching ModelNova, embedUR is set to revolutionize the way
AI applications are developed and deployed on low-powered devices,
empowering engineers to innovate faster and more efficiently than
ever before.
For more information, visit embedur.ai.
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SOURCE embedUR systems