Alif Semiconductor

01/07/2025

⚡ Announcing Alif's 2nd Generation of Edge AI Processors! ⚡

We're thrilled to announce the launch of our second-generation E4, E6, and E8 Ensemble MCUs and fusion processors!

These cutting-edge devices leverage the latest energy-efficient neural processing technology, including the Arm® Ethos™-U85 NPU, to power transformative AI experiences directly at the edge.

Key Highlights:

🚨 Generative AI at the Edge: Our processors enable powerful generative AI capabilities, including transformer networks, delivering fluid and satisfying user experiences even with limited power.

🚨 Unmatched Performance: Alif's unique high-bandwidth memory and intelligent power management architecture ensures optimal performance and efficiency for demanding AI workloads.

🚨 Empowering End-User Experiences: Experience instant, accurate, and deeply contextualized AI in vision, voice, text, and sensor fusion applications, all without relying on the cloud.

This is a major leap forward in edge AI, and we can't wait to see what our customers will build with these incredible new processors!



Alif’s second-generation products embrace the latest energy-efficient neural processing technology  supporting transformer networks enabling generative

12/12/2024

Catch up with Alif's Sree Durbha at Electronica as he shows Wevolver.com our first public demonstration of Balletto. This is an Auracast demo that is able to stream audio to multiple sources seamlessly.

08/22/2024

As AI applications increasingly migrate to edge devices, developers face the challenge of efficiently implementing these solutions on resource-constrained microcontroller (MCU) platforms. Traditional proprietary toolchains, while optimized for specific hardware, often limit flexibility and scalability. Alif Semiconductor's open-source toolchain strategy aims to address these limitations, paving the way for a new era of embedded AI development.

As AI continues to expand its reach into various industries, the need for efficient and scalable development tools has never been greater. However, for many developers, especially those working on microcontroller (MCU) platforms, the path to implementing AI at the edge is fraught with challenges.

08/15/2024

Check out this license plate reader that is running two separate pre-trained machine learning models. The first model identifies if there are license plates in frame, and if so, where they are located. Meanwhile, the second model identifies all symbols in the license place and converts them to text. Multiple plates can be detected and decoded at the same time​, with a total inference time, including pre and post processing of image data, of only ​200 ms!

🔷 Both models are executed in place from external OSPI connected NVM​
🔷 Tensor arena RAM use is approximately 2MB​
🔷 Quantized model sizes are 5.2MB for Detection, and 11MB for Decoding​
🔷 Helium accelerated ISP pipeline executing on Arm Cortex-M55 core

How to slash power consumption for AI vision! Dividing the workload with Alif’s E3 MCU We at ipXchange have wanted to share this demo for ages, so it was gre...

08/06/2024

AI is Transforming the MCU Landscape...

The era of the AI-capable MCUs is upon us. While traditional MCUs will always have their place, the increasing demand for on-device AI is reshaping the MCU market.

To succeed, MCU manufacturers must seamlessly integrate neural processing units (NPUs) with traditional MCU features. This hybrid architecture significantly impacts product performance, power consumption, and development efficiency.

Key to success:
🧠 Optimized NPU hardware: Essential for efficient ML workloads.
💥 Advanced memory systems: Crucial for low-power, high-performance AI inference.
🔧 Developer-friendly tools: Streamlining AI development within familiar MCU environments.

All About Circuits

MCUs that only do control tasks are one thing. But in today’s AI age, a truly AI-enabled MCU needs to offer more. Learn the important factors—from optimized neural processing units (NPUs) to power efficient architectures to clever memory topologies.

07/30/2024

The OTC hearing aid market is booming! 🚀

Thanks to the FDA's groundbreaking decision in 2022, which established a new category of OTC hearing aids, millions more people can now access hearing devices without a prescription.

Imagine hearing aids that not only improve your hearing, but also track your overall well-being. With the introduction of Bluetooth Low Energy (LE) technology, hearing aids are becoming more personalized and connected then ever before.

Alif's Balletto family takes this a step further, combining BLE connectivity with on-chip AI/ML, allowing hearing aids to provide exceptional sound quality, reduce background noise, and even recognize and amplify the voices of your loved ones. It's more than a hearing aid; it’s a personal listening assistant.

To fully appreciate the transformative potential of LE Audio in hearing aids, it is essential to understand the key challenges and requirements involved in developing these sophisticated devices. Hearing aid design offers a unique set of challenges and requirements that must be carefully balanced to...

07/29/2024

Please join us in welcoming Platinum member Cariad_tech, our first automotive member company, and Silver members Alif Semiconductor & Arm! They join the Zephyr Project ecosystem just as the LTS release becomes available. Learn more about their plans for & the new LTS features here: https://hubs.la/Q02JcNdG0 The Linux Foundation

07/24/2024

Ceva announced that Alif Semiconductor has licensed and deployed the Ceva-Waves Bluetooth Low Energy and 802.15.4 IPs in its Balletto family of wireless microcontrollers. The Balletto family is a complete Edge AI/ML microcontroller solution for wireless audio and smart home connected products with i...

07/23/2024

We are excited to announce that Alif Semiconductor ®, a global leader in secure, connected, and power-efficient AI/ML-enabled microcontrollers (MCUs) and fusion processors, has licensed and deployed the Ceva-Waves Low Energy and 802.15.4 IPs in its Balletto™ family of wireless microcontrollers.
Read More about it here: https://bit.ly/46h8CsK

The Ceva-Waves Bluetooth Low Energy IP equips Balletto MCUs with robust connectivity at ultra-low power consumption. It supports Bluetooth LE and Auracast broadcast audio and Thread, Zigbee and Matter support in smart home applications, enabling customers to leverage Balletto to create highly differentiated wireless audio products.

Stay tuned for more updates as we continue to innovate!

07/03/2024

The ever-growing number of endpoint devices creates a vast attack surface for cybercriminals. Traditional security measures are no longer enough to defend against increasingly sophisticated network breaches, cloning, and data theft.

At Alif Semiconductor, we're revolutionizing endpoint security with a new set of standards for truly secure microcontrollers (MCUs). ️

Our innovative features include:
🔒 Secure Enclave
🔒 Secure Lifecycle States
🔒 TrustZone+
🔒 Secure Boot Process

These features empower you to build secure and trustworthy endpoint
devices.

Want to dive into these specs further? Download our new whitepaper to learn more about how Alif is securing the future of MCU security.

Alif’s secure system architecture ensures all devices are secure from the ground up allowing designers complete control over the security in their embedded systems.

07/02/2024

It was a great time at the tinyML Foundation's Innovation Forum in Milan. Alif Semiconductor's Jerome Schang had the exciting opportunity to join a panel and delve into the challenges designers are facing in the world of embedded AI.

A major hurdle for designers is being locked into proprietary tool ecosystems, making it hard to switch between different microcontroller families (MCUs) without a complete redesign. Alif tackles this by offering a network of tools built on open-source options that are compatible across any of our MCU families. This allows designers to seamlessly move between devices without starting from scratch, removing a critical barrier of entry to Artificial Intelligence.