Alif Semiconductor

Ultra-Low Power MCU Achieves 46GOPS Performance Supplied in a compact size format (with only a 3.9mm x 3.9mm footprint), the Ensemble E1C microcontroller unit (MCU) from Alif Semiconductor will be pivotal in bringing artificial intelligence (AI) capabilities to systems that are restricted in terms of their available space and power resources. This device features an Arm Cortex-M55 computational core (supporting 160MHz speeds) with a Helium vector processing extension. Alongside that, it has an Arm Ethos-U55 network processing unit (NPU) capable of 46GOPS operation, plus up to 2MBytes of SRAM memory reserve. Thanks to the aiPM power management element incorporated, it is possible to dynamically power-up just the logic and associated memory being required at that time. When in the lowest of its 4 power mode levels, only 700nA of current is consumed. MIPI DSI, USB 2.0, SDIO, 2x CAN FD and I3C interfaces are all included, as well as high-resolution data conversion functions. Its compactness and modest power demands make the E1C MCU highly suited to use in IoT hardware. Though streamlined, it shares the same architecture as the company’s Balletto family - allowing for software re-use across the complete platform and thereby making migration between different device options more straightforward. “Alif already blazed a new trail in the industry for powerful and extremely efficient localised ML with the Ensemble family, and the new E1C series products squeeze those same capabilities into a smaller space with even more power-efficiency,” notes Reza Kazerounian.... READ MORE https://lnkd.in/e3JXG5Nh Aby Parsons Rhianna Ogle Guy Forster Mark Rootz Babak Bastani Sree Durbha Henrik Flodell Hormoz Yaghutiel Sampan Chen Jerome Schang Karol Saja Eugene Bonev Steve Sharp

We’re at another great event with EE Times | Electronic Engineering Times for their Embedded IoT Exhibition and the crowd here is buzzing! Alif’s Sampan Chen spoke to the audience about the gap between tinyML and purpose built CPU/GPU processors - a gap that Alif is intent on filling by bringing 32-bit microcontrollers with dedicated NPUs (neural processing units) for on-chip machine learning to the market. #machinelearning #ML #AI #artificialintelligence

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. #endpointsecurity #iotsecurity #alifsemiconductor #MCUsecurity

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. #tinyml #ml #machinelearning #artificalintelligence

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 ipXchange Jerome Schang #cortexm55 #cortex #arm Arm #machinelearning #artificalintelligence

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 great to catch up with Jerome Schang at Hardware Pioneers Max 2024 and see Alif Semiconductor’s number plate recognition demo running on the dual-core E3 Ensemble MCU. As with Alif’s other devices, the E3 features a Cortex-M55 core supported by an Ethos-U55 NPU. In fact, the E3 features two of these pairings, enabling you to split your AI workload in two to save power by better qualifying the need for additional AI processing. How does this work? Find out by watching the full interview on the ipXchange website: https://lnkd.in/gkh59hAF Keep designing! #embedded #mcu #microcontroller #endpointAI #edgeAI #cortexm55 #ethosu55 #armcortex #ai #ml #artificialintelligence #machinelearning #electronics #electronicsengineering #aivision #aicamera #numberplaterecognition #licenseplaterecognition #aicamera 

Alif Semiconductor is partnering with Arm to leverage their recently announced Ethos-U85 in future products, enabling transformer networks to operate at the edge. Our customers can expect this to bring them increased memory bandwidth, allowing ML models to operate up to 4X faster! #ethos #ethosu85 #arm #transformernetworks #neuralprocessing #NPU #AI #ML #machinelearning #artificialintelligence

We're thrilled to announce the InvenSense Partner Program, with ecosystem partners that empower next-gen #IoT solutions using our cutting-edge MEMS #sensors! #empoweredbytdk Discover how collaborations with industry leaders like Renesas Electronics, Ambiq, Qualcomm, Alif Semiconductor, AONDevices, Inc., Ambarella Inc, Syntiant Corp., MindMics and iSentek Inc. are bringing innovations to life. Make sure to visit us at booth #920 to learn more. https://lnkd.in/gDmU57aB

The #AI industry needs to have a very vibrant #software #ecosystem, according to Alif Semiconductor CEO Syed Ali. https://lnkd.in/gj2nCPXX