Name: xTechSearch 5 Semifinalist Virtual Pitch: SiMa.ai
Uploaded: 2021-03-09T23:00:02.000Z
Duration: 10 min 10 s
Description: David Gamba, VP of Sales and Business Development at SiMa.ai, discusses how their machine learning technology delivers performance-per-watt to the US Army and their high cloud performance on the embedded edge application marketplace.

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The SiMa.ai MLSoC platform is positioned as a comprehensive solution designed to facilitate machine learning (ML) deployment at the embedded edge. According to the vendor, it is targeted at small to large companies across various industries, including smart vision, robotics & industry 4.0, drones, automotive, and healthcare. ML developers, data scientists, embedded software engineers, and computer vision engineers can supposedly leverage this platform to streamline their edge ML application development process.

## Key Features

**MLSoC platform**: According to the vendor, the SiMa.ai MLSoC platform is purpose-built for edge ML application development, providing a solution that integrates hardware and software components.

**Purpose-built Silicon**: The vendor claims that the MLSoC platform is powered by purpose-built silicon, delivering high performance and power efficiency for edge ML applications. It is said to support a wide range of ML models and frameworks.

**Off-the-Shelf Boards**: The MLSoC platform supposedly offers off-the-shelf boards, providing different options for integration based on application needs. This is intended to offer flexibility and convenience for developers.

**Palette Software**: The vendor states that Palette software is a low code, integrated environment enabling visual creation, building, and deployment of edge ML solutions. It is claimed to support push-button compilation, building, and deployment of software images.

**Palette Edgematic**: According to the vendor, Palette Edgematic is a no code, drag and drop programming environment facilitating the visual creation and analysis of edge ML pipelines. It is described as a user-friendly, no-coding approach to creating computer vision pipelines.

**Developer Portal**: SiMa.ai offers a developer portal, providing resources and support for developers. The vendor claims that it grants access to documentation, tutorials, and sample code, allowing developers to engage with the SiMa.ai community and seek assistance.

**GitHub**: According to the vendor, SiMa.ai has a presence on GitHub, aiming to facilitate open-source collaboration. It supposedly offers code repositories and resources for developers, fostering community-driven development and innovation.

**MLSoC Boards**: SiMa.ai offers MLSoC evaluation boards and production boards. These evaluation boards are intended for developers to explore the full capability of the MLSoC platform, while production boards cater to edge ML server applications and deeply embedded applications.

**Easy ML Deployment**: According to the vendor, SiMa.ai's MLSoC platform simplifies the process of adding ML to products, aiming to enable effortless ML deployment at the embedded edge. It is claimed to reduce the time and effort required for ML deployment.


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SiMa.ai

Machine learning tools are algorithmic applications of artificial intelligence that give systems the ability to learn and improve without ample human input; similar concepts are data mining and predictive modeling. They allow software to become more accurate in predicting outcomes without being explicitly programmed. The idea is that a model or algorithm is used to get data from the world, and that data is fed back into the model so that it improves over time. It’s called machine learning because the model “learns” as it is fed more and more data.

Machine Learning

SiMa.ai is the machine learning company developing embedded edge hardware for machine learning applications that enables high performance compute at the lowest power.<br><br>SiMa.ai offers a high frames per second per watt solution, accelerating the proliferation of a high performance machine learning inference at very low power in embedded edge applications.

SiMa Technologies, Inc.

David Gamba, VP of Sales and Business Development at SiMa.ai, discusses how their machine learning technology delivers performance-per-watt to the US Army and their high cloud performance on the embedded edge application marketplace.

xTechSearch 5 Semifinalist Virtual Pitch: SiMa.ai

Watch SiMa.ai, xTechSearch 5 semifinalist, present their topic: Machine Learning Platform for Edge Applications.

This presentation was conducted virtually on March 2, 2021 to a panel of subject matter experts from the U.S. Army. 

Visit their website here: https://sima.ai/ 

xTechSearch is a prize competition sponsored by the Assistant Secretary of the Army for Acquisition, Logistics and Technology (ASA(ALT)), targeting small businesses to uncover novel dual-use science and technology solutions. Learn more about xTechSearch, and other xTech competitions, here: https://www.xtechsearch.army.mil

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