Cutting the AI Power Cord: Enabling TinyML Technology

Table of Contents

1. Introduction
2. Tiny ML Talks Series
3. Deep Light
4. Kixo Edge
5. Impulse Reality AAI
6. Maxim Integrated
7. Strategic Partner: Arm
8. Upcoming Talks
9. Tiny ML Asia Online Summit
10. Call for Video Posters
11. Conclusion

Introduction

Hello, I'm Daniel Citinatica, and I will be the moderator for today's session. First and foremost, I would like to express my gratitude to all the sponsors who have made our Tiny ML Talks series possible. We extend our heartfelt thanks to Deep Light, Kixo Edge, Impulse Reality AAI, and Maxim Integrated. We Are also grateful for the support of our strategic partner, Arm, in organizing the Tiny ML Talks initiative. In this session, we will be featuring speakers from Deep Light and ImagineMob. I encourage everyone to tune in on Tuesday, November 10th, for their insightful presentations. Additionally, I would like to highlight the upcoming Tiny ML Asia Online Summit, taking place from November 16th to 19th. We have currently opened a call for video posters, so if You have an interesting poster to present, please submit your abstract by October 31st. For more information, you can visit our Website at tinyml.org. So, without further ado, let's dive into today's talk.

Tiny ML Talks Series

The Tiny ML Talks series aims to shed light on the field of tiny machine learning, bringing together experts and enthusiasts to discuss the latest advancements, challenges, and opportunities. Our talks cover a wide range of topics, including hardware optimizations, software development, algorithmic improvements, and real-world applications. We believe that by sharing knowledge and fostering collaboration, we can unlock the full potential of tiny ML and drive innovation in this exciting field.

Deep Light

Deep Light is a leading provider of AI solutions that optimize the performance of other AI models. Their cutting-edge technology enables AI models to be faster, smaller, and more energy-efficient, making them ideal for deployment on resource-constrained edge devices. By leveraging advanced techniques such as model distillation and quantization, Deep Light empowers developers to Create high-performing AI applications that can run seamlessly on a variety of embedded systems.

Kixo Edge

Kixo Edge offers an AutoML platform specifically designed for embedded AI. Their platform provides developers with a seamless workflow for training and deploying machine learning models on resource-constrained edge devices. With Kixo Edge, developers can leverage sensor data to build tiny ML solutions that enable real-time inference and intelligent decision-making at the edge.

Impulse Reality AAI

Impulse Reality AAI specializes in developing edge AI solutions for audio, vision, and bio-signal processing. Their expertise lies in creating ultra-low-power sensing and inference hardware for various embedded and mobile devices. By enabling real-time, always-on smart sensing, Impulse Reality AAI empowers developers to build intelligent applications that can interpret and respond to real-world signals with minimal energy consumption.

Maxim Integrated

Maxim Integrated is at the forefront of AI innovation in the embedded space. Their latest offering, the Max 78000 processor, is equipped with a dedicated neural network accelerator that delivers orders of magnitude lower energy and latency compared to other solutions in the market. This breakthrough technology enables true edge inference, allowing smaller devices to perform complex tasks such as computer vision and speech processing. With Maxim Integrated's cutting-edge hardware, developers can unleash the power of AI at the edge, opening up new possibilities for intelligent embedded systems.

Strategic Partner: Arm

We would like to express our gratitude to Arm, our strategic partner in the Tiny ML Talks initiative. Arm's extensive expertise and support have been instrumental in bringing together the global community of tiny machine learning practitioners. Arm's commitment to driving innovation in the embedded ML space is evident in their world-class microcontroller and system-on-chip designs, which provide a solid foundation for deploying AI models at the edge. As we Continue to foster collaboration and knowledge sharing, Arm's partnership remains an invaluable asset to the Tiny ML community.

Upcoming Talks

Mark your calendars for our upcoming talks on Tuesday, November 10th. We are thrilled to feature speakers from Deep Light and ImagineMob, who will share their insights on the latest advancements and trends in the field of tiny machine learning. These talks promise to be informative and inspiring, so be sure to tune in at the same time on Tuesday, November 10th.

Tiny ML Asia Online Summit

In addition to our Tiny ML Talks series, we are excited to announce the Tiny ML Asia Online Summit, taking place from November 16th to 19th. This unique virtual event will bring together experts, researchers, and industry leaders from the Asian region to discuss the latest developments and applications in tiny machine learning. If you are Based in Asia and have a passion for embedded AI, this summit is a must-attend. We are currently accepting submissions for video posters, providing an opportunity for researchers and developers to showcase their work. If you have an interesting project or research paper related to tiny machine learning, submit your abstract by October 31st and be part of this exciting event. For the full program and additional details, visit our website at tinyml.org/asia2020.

Call for Video Posters

Are you working on an innovative project or research related to tiny machine learning? We invite you to participate in our call for video posters. This is an opportunity to showcase your work and share your insights with the global tiny ML community. Submit your abstract by October 31st, detailing your project, methodology, and key findings. If selected, you will have the opportunity to present a five-minute video poster during the Tiny ML Asia Online Summit. Don't miss this chance to be part of a vibrant community that is pushing the boundaries of embedded AI.

Conclusion

In conclusion, we would like to extend our gratitude to all the sponsors, speakers, and participants who have made the Tiny ML Talks series a resounding success. Through collaborative efforts and knowledge sharing, we are driving innovation in the field of tiny machine learning and unlocking the potential of embedded AI. We encourage you to stay engaged and continue exploring the exciting developments in this rapidly evolving field. Join us for our upcoming talks, participate in the Tiny ML Asia Online Summit, and be part of the global conversation on tiny machine learning. Together, we can Shape a future where intelligent, energy-efficient devices are seamlessly integrated into our daily lives.