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ModelNova Revolutionizes AI Application Development for Small Devices

ModelNova Revolutionizes AI Application Development for Small Devices

ModelNova为小型设备的AI应用开发带来了革命
PR Newswire ·  06/24 10:22

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.

来自意大利米兰TinyML峰会的嵌入式系统和边缘人工智能领导者、TinyML赞助伙伴embedUR systems Inc感到非常高兴地宣布推出ModelNova,一款为边缘人工智能解决方案而设计的创新软件平台。

ModelNova revolutionizes AI Application Development for Small Devices
ModelNova彻底改变了小型设备的人工智能应用开发方式。

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是一个模型动物园,针对不同的软件框架和各种低功耗硬件平台优化的预训练人工智能模型。这一创新平台简化了边缘人工智能产品的开发,从而在边缘设备上快速构建智能应用程序原型并部署,时间缩短到了从零开始开发边缘人工智能解决方案所需时间的一小部分。

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.

ModelNova解决了开发人员面临的一个重要问题:选择、创建、训练、移植和优化针对不同硬件平台的人工智能模型的复杂性,特别是低功耗物联网设备。

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.

这是一个关键的过程,对项目的成功有很大的影响。它需要丰富的低级固件知识和对他们试图进行优化的硅的深入了解,这是一种罕见的技能集。

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.

ModelNova通过提供多样化的针对AI Vision、Speech、Sound等的预训练模型,这些模型已经针对多种硬件和软件架构进行了调整,弥合了这一差距。

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.

大多数人工智能模型都始于学术研究和开源实现,并针对特定数据集进行训练,而不是准备用于实际的最终产品开发。利用我们在人工智能和嵌入式软件设备集成方面的独特专业知识,最大程度地提高了性能,并将模型调整为可用于实际应用。

"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

embedUR的技术副总裁John Marconi表示:“我们的平台消除了低功耗设备上人工智能原型设计和开发的入门障碍,使工程师能够专注于创新而不是硬件集成和优化的复杂性。”

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.

开发人员将能够下载已知在他们考虑使用的硬件上运行的模型,并快速评估其应用的可行性;这大大减少了构建概念验证所需的时间,并验证边缘人工智能应用程序的硬件,使开发人员能够在几天而非数月的时间内从想法到验证概念。

"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

Synaptics的IoT处理器高级副总裁兼首席产品官Vikram Gupta表示:“鉴于ModelNova专注于资源受限设备的模型,可以加速IoT Edge AI的开发者旅程,并展示了在Synaptics的Astra AI-Native设备上所能实现的功能。”

Key Benefits of ModelNova:

ModelNova的关键优势:

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.

快速原型制作:开发人员可以下载类似于其应用所需功能的预训练模型,并查看其在不同的平台上运行得有多好。

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.

简化开发:开发人员只需要调整或重新训练现有模型以执行新功能,这比从头开始创建模型要容易得多。

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.

访问边缘人工智能专业知识:作为将这些模型整合到不同平台上的集成商,embedUR可以协助进行模型优化、应用用例培训和与目标硬件的集成,以加速产品化。

"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.

TinyML基金会的执行董事Pete Bernard表示:“这是开发者社区的一个激动人心的资源,能够以更快的速度开发边缘人工智能解决方案,开启新的市场机遇。”

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.

鼓励正在构建新的人工智能原生硬件的硅供应商和平台创建者联系embedUR,以将ModelNova的模型库移植和优化到他们的新设备上。

ModelNova enables businesses in all sectors from healthcare to agriculture to explore new market opportunities with minimal upfront investment and risk.

ModelNova可使各个领域的企业,从医疗保健到农业,以最小的前期投资和风险探索新的市场机会。

Join ModelNova.ai today, and start validating your Edge AI designs in days instead of months.

加入ModelNova.ai,不必花费数月时间即可开始验证您的边缘人工智能设计。

About embedUR systems Inc.:

关于embedUR systems公司:

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.

总部位于加利福尼亚州弗里蒙特市的embedUR systems公司是嵌入式系统和无线技术领域的领导者,专业从事Wi-Fi、物联网和TinyML等技术。我们正在逐个设备地实现智能边缘。我们帮助企业开发边缘人工智能解决方案,并快速进入市场。

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.

通过推出ModelNova,embedUR将彻底改变低功耗设备上开发和部署人工智能应用的方式,使工程师比以往更快、更高效地进行创新。

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