Hellow guys, Welcome to my website, and you are watching tinyML Summit 2023: Machine Learning Sensor Certifications and tinyML edu Update. and this vIdeo is uploaded by tinyML Foundation at 2023-04-07T14:38:41-07:00. We are pramote this video only for entertainment and educational perpose only. So, I hop you like our website.
| Name | tinyML Summit 2023: Machine Learning Sensor Certifications and tinyML edu Update |
| Video Uploader | Video From tinyML Foundation |
| Upload Date | This Video Uploaded At 07-04-2023 21:38:41 |
| Video Discription | Machine Learning Sensor Certifications Vijay JANAPA REDDI, Associate Professor, Harvard University There are billions of microcontrollers worldwide, and we are on the verge of a new data-centric paradigm: putting machine learning intelligence into embedded microcontrollers. This paradigm is made possible by improvements in TinyML methods, tools, and technologies. This new idea of “machine learning sensors” (ML Sensors) is a significant change for the embedded ecosystem. ML sensors raise new concerns about the privacy and security of sensitive user data and the portability and ease of integrating them into the existing ecosystem. Because of this, we need a framework for the practical, responsible, and efficient deployment of ML sensors as a community. To this end, the talk will focus on defining ML sensors and the challenges and opportunities of bringing a new generation of embedded sensor technology to the market. This talk is not about a point solution; instead, it discusses the framework that needs to be implemented for ML sensors to be realized in practice. Achieving this requires knowing ML sensors’ technical and ethical implications before they are developed and distributed. Nevertheless, one of the most critical issues to address is the concept of a datasheet for ML sensors. Future sensors must be clear and transparent about what they do and how they do it. Such information can be enshrined within a datasheet analogous to a traditional sensor datasheet. Hence, we will focus on the following three topics: 1. Interface – What universal interface is needed for ML Sensors? 2. Standards – What standards need to be in place for ML Sensors? 3. Ethics – What ethical considerations are needed for ML Sensors? • Call to Action for the TinyML Community We need the community’s help to develop and deploy ML sensors safely and reliably so they can reach their full potential. Therefore, the first goal of this talk is to educate the community about the implications of developing ML sensors and understand how we can develop them systematically so that they are both efficient and effective in the existing embedded ecosystem |
| Category | Science & Technology |
| Tags | Science & Technology Download MP4 | Science & Technology Download MP3 | Science & Technology Download MP4 360p | Science & Technology Download MP4 480p | Science & Technology Download MP4 720p | Science & Technology Download MP4 1080p |
