New - planed for 18th May
Event by
Edge Impulse
About
This exclusive, in-person-only, one-day event will explore the benefits of edge machine learning, ways to differentiate your products with embedded intelligence, and how to deliver value in less time while lowering operational cost using AI tools like Edge Impulse.
Featuring keynotes from
industry leaders, hands-on workshops, customer stories, and
insights on deploying ML solutions at scale. Plus, plenty of demos and networking opportunities!
Agenda:
8:30–9:00 Registration and coffee
9:00–10:40 Keynotes
◦ Welcome and housekeeping (10 min)
◦ “Demystifying Edge ML” — Edge Impulse keynote (30 min)
◦ Texas Instruments keynote (30 min)
◦ “Edge AI: Ready When You Are!” — BrainChip keynote (30 min)
10:40–11:00 Coffee break (demo area)
11:00–12:00 Seminars
◦ Edge Impulse — use case focus (20 min)
◦ “Why AI acceleration matters for Edge Devices” — Alif (20 min)
◦ Three key parameters to consider when selecting a hardware platform for AI-enable edge-ML are performance, power consumption, and price. This talk will help you maximize your projects chance of success by showing you how to maximize the performance parameter, while keeping the others in-check.
◦ “The advantages of Nordic’s ultra-low-power wireless solutions and machine learning” — Nordic Semiconductors (20 min)
12:00–13:00 Lunch (demo area)
◦ Demos from TI, BrainChip, Alif, Nordic
13:00–15:30 Workshops
◦ Texas Instruments hands-on workshop with the TDA4VM (75 min)
◦ Break (15 min)
◦ “Enabling the Age of Intelligent Machines” — Alif workshop (60 min)
Alif Semiconductor and Edge Impulse will demonstrate how anyone can create, train, tune, and deploy advanced machine learning models on the next generation Ensemble family of AI accelerated microcontrollers.
15:30–16:00 Wrap and close
See less
Texas Instruments & Nordic Semiconductor are on my customer targets list.
Alif are working with Bosch Sensortec to develop AI sensors using Edge Impulse's platform. Another application with an Inertial Measurement Unit (IMU).
Alif, Bosch, Edge Impulse combine for AI sensors
New Products | November 15, 2022
By Peter Clarke
AI-capable microcontroller supplier Alif Semiconductor Inc. (Pleasanton, Calif.) is teaming up with Bosch Sensortec and Edge Impulse to produce motion-sensing reference designs.
Alif provides the microcontrollers, Bosch Sensortec the sensors and Edge Impulse the development platform in support of machine learning.
Alif claims the combination supports the design of precision motion-sensing products while increasing performance, lowering power consumption, and establishing security. The company did not say what benchmark it was comparing against.
Alif said it hopes to sell into applications such as game controllers, predictive maintenance, and the monitoring of industrial machinery and cargo.
Alif and partners are offering reference designs based on the E3 MCU from Alif’s Ensemble family, Bosch Sensortec’s BMI323, Inertial Measurement Unit (IMU) and Edge Impulse’s development platform for machine learning.
Big-little like
The E3 MCU employs dual processing domains that accelerate machine learning. A high-efficiency processor is set to be always-on at minimum energy consumption while the high-performance processor sleeps until awoken by the first processor. It then executes heavier workloads rapidly and then returns to sleep.
In the reference design the BMI323 IMU feeds precision acceleration and angular rate data to the MCU. Edge Impulse’s platform is used to rapidly train an ML model to identify complex continuous gestures such as multiple characters, symbols, and anomalies in repeating complex movement patterns.
A machine learning model can be created in less than one hour and then deployed to the E3 MCU to detect and identify a complex multi-directional motion pattern and translate it to a symbol. While running, the time to complete the inference operation required to identify the gesture pattern is only 280 microseconds.
“The increase in inference speed directly translates to lower system-level power consumption and could also be used for this kind of solution to operate at significantly higher symbol rates. This opens the door to deploying smart sensors in ways that are not achievable today,” said Stefan Finkbeiner, CEO at Bosch Sensortec, in a statement issued by Alif Semiconductor.
Related links and articles:
www.alifsemi.com
www.bosch-sensortec.com
www.edgeimpulse.com
It looks like Alif are using ARM's Cortex-M55 + Ethos-U55 micro NPU's for AI/ML acceleration. Ethos-U55 NPU can run CNN, RNN & LSTM. They may need a proper neuromorphic chip such as Cortex-M55 or M85 with Helium tech incl. Akida IP.
Alif's scalable platform family is built on the latest generation embedded processing technology that scales from single Arm®
Cortex®-M55 microcontrollers (MCUs) to a new class of multi-core devices, fusion processors, that blend up to two
Cortex-M55 MCU cores, up to two
Cortex-A32 microprocessors (MPU) cores capable of running high-level operating systems, and up to two Arm
Ethos™-U55 microNPUs for AI/ML acceleration.
Image Classification, for 1 inference, M-55 + U-55 is:
- 800x faster than previous gen Cortex-M
- 78x faster than M-55 alone (8 vs 624 msec)
- 76x less energy than M-55 alone (3 vs 228 mJ)
Alif Semiconductor is the industry-leading supplier of the next-generation Ensemble family of Arm-based 32-bit microcontrollers and fusion processors.
alifsemi.com
Arm Ethos-U55 NPU 結合具有人工智慧功能的 Cortex-M55 處理器，是低成本的節能解決方案，提供 480 倍的機器學習效能。
www.arm.com
Ethos-U55 is a new class of machine learning (ML) processor, called a microNPU or micro neural processing unit, designed to accelerate ML inference in area-constrained embedded and IoT devices.
developer.arm.com
www.linkedin.com
seeingmachines.com
) will try to distract you.
semiwiki.com
