STMicroelectronics Tech Talk: STMicroelectronics enables AI on the edge

Speaker: Arcangelo Bruna , STMicroelectronics

Date: Wednesday, April 17, 2019

Time: 12:00 PM to 1:00 PM

Public: Yes

Location:

Event Type:

Room Description: Hewlett G882

Host: Callie Mathews, CSAIL Alliance Program (CAP)

Contact: Callie Mathews , cmathews@csail.mit.edu

Relevant URL: https://www.eventbrite.com/e/tech-talk-stmicroelectronics-enables-ai-on-the-edge-tickets-59765404935

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Reminders to: csail-announce@csail.mit.edu

Reminder Subject: TALK: STMicroelectronics Tech Talk: STMicroelectronics enables AI on the edge

Hewlett G882

Wednesday April 17th, 12PM-1PM: Lunch will be provided

Please register or email Callie Mathews cmathews@csail.mit.edu to confirm attendance.

https://www.eventbrite.com/e/tech-talk-stmicroelectronics-enables-ai-on-the-edge-tickets-59765404935

STMicroelectronics enables AI on the edge

Leveraging the industry-leading position of its STM32 family of 32-bit Flash microcontrollers based on the Arm® Cortex®-M processor, STMicroelectronics is adding advanced Artificial Intelligence (AI) features to its design tools that enable fast and efficient embedded system implementation of trained neural networks. With this technical talk, STMicroelectronics will present the Company Vision for AI on the edge, give technical insights on the state of art and present the design tool with a /live demo/ on STM32 development boards.

AI uses trained artificial neural networks to classify data signals from motion and vibration sensors, environmental sensors, microphones and image sensors, more quickly and efficiently than conventional handcrafted signal processing. ST's new neural-network developer toolbox is bringing AI to microcontroller-powered intelligent devices at the edge, on the nodes, and to deeply embedded devices across IoT, smart building, industrial, and medical applications.

With STM32Cube.AI, developers can now convert pre-trained neural networks into C-code that calls functions in optimized libraries that can run on STM32 MCUs.

Speaker: Arcangelo Bruna

Arcangelo Bruna joined STMicroelectronics in 1999, he holds a Master degree in EE and a PhD in applied mathematics. He is expert in Image Processing, Image coding/decoding and Image Analysis with Machine Learning, his developments have been applied in various fields such as automotive, robotics and SLAM for AR/VR. He is working on STMicroelectronics’ new developments on Machine Learning and CDNNs on the edge, and has enabled numerous advancement on AI for embedded applications. Arcangelo is managing several R&D projects with Universities and Research Centers in Europe and has held several lectures across various academic institutions. Arcangelo is senior staff engineer at ST, IEEE Senior Member and author of more than 80 papers and 31 patents.

About STMicroelectronics

ST is a global semiconductor leader delivering intelligent and energy-efficient products and solutions that power the electronics at the heart of everyday life. ST's products are found everywhere today, and together with our customers, we are enabling smarter driving and smarter factories, cities and homes, along with the next generation of mobile and Internet of Things devices.

By getting more from technology to get more from life, ST stands for life.augmented.

In 2018, the Company's net revenues were $9.66 Billion, serving more than 100,000 customers worldwide.

Research Areas:
AI & Machine Learning, Systems & Networking

Impact Areas:

See other events that are part of the CSAIL Alliances Tech Talk 2018 - 2019.

Created by Callie Mathews Email at Wednesday, April 17, 2019 at 8:47 AM.