Alif Semiconductor

Plumerai deployed their person detection demo on Alif Ensemble and measured latency at only 12 ms. When ported to devices running Cortex-M7, latency was measured at 73.5 ms, and for devices using Cortex-M85, latency was measured at 418 ms!

https://alifsemi.com/webinar/plumerai-alif-semiconductor-person-detection/

Plumerai Deploys World's Most Precise Person Detection Model On Alif Ensemble | Alif Semiconductor Plumerai reaches unmatched inference speeds deploying person detection demo on the Alif Semiconductor Ensemble MCU with Ethos-U55.

32-bit MCUs Handle Heavy ML Workloads on Battery-Operated IoT Devices - News Alif claims its new Ensemble line of microcontrollers efficiently processes heavy machine learning workloads on battery-powered devices.

Since many edge ML applications require performance levels of 50–250 Giga (billion) operations per second (GOPs)—a level 32-bit MCUs are unable to meet on their own—many developers must turn to 1,000 GOP-level GPU-based accelerators. The addition of such accelerators, however, comes at the cost of power, size, complexity, and price point.

All About Circuits

32-bit MCUs Handle Heavy ML Workloads on Battery-Operated IoT Devices - News Alif claims its new Ensemble line of microcontrollers efficiently processes heavy machine learning workloads on battery-powered devices.

Alif Semiconductor's Ensemble™ family of microcontrollers deliver at least two orders of magnitude higher Edge AI performance than traditional microcontrollers Alif Semiconductor, announced full availability of its Ensemble product line through global distribution channels.

Ensemble is here - and it's faster and more power efficient than any other 32-bit MCU available 👇

We are excited to share that our full family of Ensemble microcontrollers and fusion processors are now available to order. Ensemble fills the gap between tinyML and power hungry, expensive GPU-based accelerators to provide you with the ultimate solution for battery powered IoT products at the edge.

The Ensemble 32-bit microcontrollers and fusion processors are designed to deliver an uplift in performance of at least two orders of magnitude compared to executing similar workloads on traditional 32-bit MCUs across a wide range of AI models.

Alif Semiconductor's Ensemble™ family of microcontrollers deliver at least two orders of magnitude higher Edge AI performance than traditional microcontrollers /PRNewswire/ -- Alif Semiconductor, supplier of the most secure, power efficient Edge AI-enabled MCUs and fusion processors in the market, today announced full...

The Ensemble family of MCUs from Alif Semiconductor is the industry's first 32-bit microcontroller that offers high-speed and efficient AI/ML for Vision, Voice, and Vibration use cases. While tinyML is limited to low-end Voice or Vibration use cases- and can't handle Vision use cases, Alif MCUs fill the gap in the market with the abilities to process large AI/ML workloads for all three V's - without draining battery life and raising costs as seen with power hungry GPU devices. Tune into our Chalk Talk with EE Journal and see for yourself how Alif Semiconductor is enabling the future of intelligent devices!

The Future of Intelligent Devices is Here -- Alif Semiconductor August 9, 2023 -- In this episode of Chalk Talk, Amelia Dalton and Henrik Flodell from Alif Semiconductor explore the what, where, and how of Alif’s Ensembl...

Join Alif Semiconductor, Edge Impulse, Nohau Solutions, and Arrow Electronics in Scandinavia this summer to see firsthand how the utilization of the Ethos-U55 on Alif microcontrollers and fusion processors will allow you to perform heavy AI/ML workloads at the edge - without draining battery life. For connected intelligent devices, the ability to analyze, store, and track data using AI/ML operations is becoming a need-to-have.

📅 Tuesday 29 Aug – Stockholm
📅 Thursday 31 Aug – Oslo
📅 Tuesday 5 September – Copenhagen
📅 Thursday 7 September – Oulu

https://nohau.eu/events/embracing-the-future-live-seminar/

Speakers: Henrik Flodell, Amir Sherman, Inge Høivik

Embracing the Future: Optimizing Machine Learning and AI in Embedded Systems with Arm Cortex-M55 and Ethos-U55 - Nohau Solution Live Seminar: Join us live in Scandinavia to dive into the cutting-edge world of machine learning and artificial intelligence, and discover..

The Alif Ensemble E5 series can advance capabilities of connected medical devices by providing the most efficient AI/ML processing available, without compromising battery life in mission-critical devices. This fusion processor (a new category of embedded controllers that blend MPU, MCU, and AI/ML into a single device) combines a Cortex-A32 application core running at up to 800MHz, and two Cortex-M55 cores, enabling you to combine real-time performance with high-level operating systems like Linux in the same package. By utilizing a dedicated NPU accelerator for AI/ML, Alif Ensemble can run inferencing operations faster and more efficiently than any other microcontroller available. The Ethos-U55 microNPU offloads AI/ML operations from the Cortex-M55, allowing the M55 cores to operate in very low power modes, to ensure that battery life is not drained on indispensable medical devices, such as hearing aids or defibrillators.



https://alifsemi.com/products/ensemble/

Wearable devices like smartwatches, fitness trackers, or patches powered by embedded microcontrollers and equipped with Edge AI capabilities, continuously collect and analyze vital signs such as heart rate, blood pressure, oxygen levels, and activity levels. By processing the data locally on the MCU, the Edge AI algorithms provide real-time insights, detect anomalies, and send alerts to healthcare professionals or caregivers. As a result, the integration of MCUs and Edge AI in remote patient monitoring enhances patient safety, enables early intervention, and reduces the need for frequent hospital visits. - Wevolver.com

Building a Smarter Future: Exploring MCU Integration in Edge AI Exploring the integration and impact of microcontrollers and Edge AI across various industries.

Thank you EE Times for selecting Alif Semiconductor as one of your top startups to watch in 2023!

Silicon 100: Startups Worth Watching in 2023 - EE Times EE Times’ 23rd revision of the Silicon 100, our annual list of 100 electronics and semiconductor startups to watch, documents AI’s rising pervasiveness and China’s startup surge. Find out now who has made the cut this year!

Thank you EE Times for selecting Alif Semiconductor as one of your 100 companies to watch in 2023!

We will continue to push boundaries for 32-bit microcontrollers, by providing the most secure solution on the market with AI/ML capabilities.

https://www.eetimes.com/product/silicon-100-startups-worth-watching-in-2023-final/

Edge ML Series - Online The Edge ML Series is heading online July 19th! Mark your calendars and sign up now. This exclusive, 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...

Edge Impulse & Alif Semiconductor Revolutionize Machine Learning on the Edge at Hardware Pioneers Max 2023 Edge Impulse and Alif Semiconductor showcase innovative machine learning on the edge solutions at Hardware Pioneers 2023, offering speed, privacy, and simplicity.

Evento: Introduzione all’utilizzo dei microcontrollori per applicazioni AI - Elettronica TECH FAE Technology, in collaborazione con Alif Semi, Edge Impulse ed il supporto di Arrow Electronics organizza un seminario, dal titolo "Enabling the age of intelligent machines", di introduzione all’utilizzo dei microcontrollori di Alif per applicazioni AI e della piattaforma Edge Impulse che abilit...

Join us for an engaging webinar where we dive into developing and deploying ML models on Alif Semiconductor's Ensemble processors. Natively supported in Edge Impulse's platform, the Ensemble family offers powerful yet efficient AI capabilities for applications including vision, voice, and vibration. Register now and tune in July 11th to learn more! https://bit.ly/42RHs8t

Attack surface reduction in IoT devices with Alif Ensemble 👇

1) Alif 32-bit microcontrollers integrate:
Non-boot path Security Enclave
Better than Trust Zone for multi-core systems
Unique device ID for every SoC
Dedicated security processor and protected memory
Fine grain access control via configurable firewalls

2) Implement a secure 4-stage lifecycle in hardware:
Device manufacture
Product provisioning
Deployment
End-of-life

The lifecycle stages are advanced monotonically, making it impossible to move backward or to skip a step. Implement maximum protection against external as well as internal threats.

Get all the details in our TicTech below 👇

Alif Semiconductor TicTech: Security Built From The Ground Up In TicTech Episode 4, for the first time, understand Alif's unique security offerings and how we go beyond Trust Zone to offer you a complete Independent Iso...

Alif Semiconductor is live at ! Come check out our demos at Tessolve (3A-301), Arrow Electronics (3A-135), and ICTOulu (4-544)! We are demoing an AI-Enhanced Face Detection Demo powered by Alif Ensemble E3, with 7 msec per inference operation, which is 40X faster than the conventional MCU. More details below:

- Image data buffered in on-die SRAM
- YOLO face detection model stored in on-die MRAM
- AI/ML inference via Cortex-M55 MCU Core & Ethos-U55 microNPU
- AI/ML model operation results visualized
- Graphic frame buffers in on-die SRAM
- Images rendered with face tracking attributes
- 24bpp color TFTLCD panel driven by MIPI-DSI
- Results transmitted wirelessly using Telit WE310FS WI-FI/BLE Combo module

NOT Required:
- External memories, power management, or secure element. This is all included in Alif Ensemble devices.

Our first stop in the Edge ML Series is fast approaching! Come meet the Alif team in San Jose and learn why AI acceleration matters for Edge Devices in our seminar. Three key parameters to consider when selecting a hardware platform for AI-enabled, edge-ML are performance, power consumption, and price. Our session will help you maximize your projects chance of success by showing you how to maximize the performance parameter, while keeping the other factors in-check. Register below: https://www.edgeimpulse.com/events/2023-edge-ml-series-san-jose

Edge Impulse

Watch our on demand webinar on Alif's Integrated Security Solution, hosted with Arrow Electronics below. In under 30 minutes, you will get a close look at how Alif goes beyond Trust Zone to bring you security built from the ground up. Interested in setting up a meeting to learn more? Email us at [email protected]

https://event.on24.com/wcc/r/4092618/B80A40C7449F38FAB926F43147E55D7C?partnerref=ALIFOD

It's almost that time of year! The Edge ML Series is coming to a city near you - have you registered yet? Meet with EdgeML experts - like the the Alif Semiconductor team - and discover why we are the clear choice for Vision, Voice, and Vibration.

🎤 Mar 27- Signia Hilton San Jose
🎤 Mar 27- DoubleTree Amsterdam Oosterdoksstraat
🎤 Coming soon - Chicago, Munich, Boston, London

https://edgeimpulse.com/edgemlseries



Edge Impulse

Edge ML Series Join us at this invite-only event series to explore how to harness edge data to deploy advanced edge machine learning solutions at scale

Meet with the Alif team at in Nuremberg and learn how Alif Ensemble™ delivers maximum AI/ML performance, lowers power consumption, and keeps data safe, all while offering a scalable processor selection. Reach out to us to set up a private meeting.

To reduce IoT vulnerabilities and provide out-of-the-box secure device designs, Alif Semiconductor integrates all involved functional elements on a single chip. At the same time, a unique device identity and a root of trust are provided in a secure environment that prevents any logical or physical intrusion and protects against the tracing of internal data traffic.



Wevolver.com

IoT needs trust: The current state of IoT security Trustworthy and reliable applications are fueling the worldwide IoT success story. This article explains why protecting IoT edge devices is crucial in an environment with threats on the rise.

Calling out to all of our friends and customers in Israel! Come meet Alif & Edge Impulse and learn how you can use our AI-enabled microcontroller - the industry's first Arm Cortex-M55 & Ethos-U55 - for accelerated machine learning with significant improvements in performance and efficiency. As benchmarked by Arm, image classification ran on our Ensemble device is 800x faster than the previous generation cortex-M. Work with our partner, Edge Impulse to train deep learning models and deploy them onto our Ensemble device, quicker than ever before!

ENABLING THE AGE OF INTELLIGENT MACHINES | LinkedIn Attend Alif Semiconductor and Edge Impulse's very first EdgeML Seminar in Israel. Learn how Alif Ensemble - the industry's first Arm Cortex-M55 & Ethos-U55 - high-efficiency processing domain is meant to be always on to sense the environment, while the high-performance processing domain wakes as nee...

In a world with billions of IoT devices, security challenges can lead to large-scale problems. How can EdgeML designers remedy the prominent security vulnerabilities of edge ML devices? Wevolver.com

Security Guide for Edge ML Designers With more IoT devices performing mission-critical tasks - security is essential. To achieve the potential of smart devices that implement ML and AI in their applications, we must protect the critical intellectual property that represents the majority of the solution’s value.