Alif launches an MCU with AI/ML processing in a tiny footprint

Alif Semiconductor has launched the Ensemble E1C, an MCU series which combines rich digital and analog capabilities with a low-power on-chip neural processing unit (NPU) in a new compact form factor.
This new Ensemble family MCU, which combines a 160MHz Arm Cortex-M55 CPU core with Helium vector processing extension, an Arm Ethos-U55 NPU generating up to 46 GOPs, and up to 2MB of tightly coupled SRAM, is available in a tiny WLCSP package occupying a footprint of 3.9mm x 3.9mm.
The introduction of the E1C extends the Ensemble family, providing a new entry-level option for OEMs that want AI performance and ultra-low power consumption implemented in a familiar Arm environment. The new E1C also shares the same architecture as the Balletto family, allowing for software re-use across the entire family, and easy migration of applications from one device to another.
The E1C can perform both AI/ML and application control functions at ultra-low power levels. This means manufacturers can bring advanced ML capabilities to products such as wearable devices that have extreme constraints on power and space. The E1C’s capabilities are optimised for local ML workloads such as object recognition, speech recognition, sensor fusion, and adaptive audio noise cancellation, easing heavy dependence on the cloud to provide a better user experience.
The high AI performance of the E1C is matched by its power efficiency. The E1C’s aiPM technology can dynamically power only the logic and associated memory that are in use at any given time, thus achieving the lowest overall system power consumption. The aiPM power management unit implements four system-level power modes including a Stop mode which draws just 700nA.
The Ethos-U55 NPU performs 128 MACs/cycle to give ML output of 46 GOPS, and enables on-the-fly weight decompression. This results in inferencing performance some 100x faster and more power-efficient than competing MCUs based on an Arm Cortex-M4 CPU provide. The E1C’s digital cores are backed by up to 2MB of MRAM non-volatile memory alongside up to 2MB of zero wait-state SRAM. A high-speed OctalSPI interface enables expansion to external memory if required. Versions of E1C devices are offered with and without the NPU.
The E1C features a rich set of analog and connectivity peripherals. Two 12-bit SAR ADCs and a 24-bit sigma-delta ADC, a 12-bit DAC and an internal reference voltage provide for fast, precise processing of signals from external sensors. Outputs can be displayed on rich colour displays using a MIPI DSI display interface.
A broad selection of serial communications interfaces includes USB 2.0, SDIO, 2x CAN FD and I3C. Designers of connected devices can also benefit from the same low-power and high-performance characteristics of the E1C with the addition of built-in Bluetooth Low Energy connectivity by choosing the Balletto B1, launched by Alif on 9 April 2024.
Security is a core attribute of the Ensemble family, and the E1C shares the same architecture. Its advanced secure enclave, which provides a solid hardware root-of-trust enabling secure key generation and storage, secure boot, cryptographic accelerators, and certificate management, eliminates the need for an external Secure MCU in endpoint AI devices.

https://alifsemi.com/ensemble-e1c-series/

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u-blox announces new ultra-compact LTE Cat 1bis cellular modules

u-blox has announced an expansion to its range of R10 products for the fast-growing LTE Cat 1bis cellular connectivity market. Predicted by analyst firm Techno Systems Research Co., Ltd to account for 43.6% of all non-handset cellular devices by 2029, LTE Cat 1bis is expected to be the best-selling cellular technology for the Internet of Things (IoT) for the next four to five years.

The new u-blox LEXI-R10 Global provides an ultra-compact 16 x16mm LTE Cat 1bis solution that can be used worldwide in size-constrained IoT applications such as people or pet trackers and wearables. The LEXI-R10 Global is the world’s smallest single-mode LTE Cat 1bis module with indoor location and a US MNO certified core.

Meanwhile, the new SARA-R10 series brings the same capabilities as the LEXI-R10 Global to u-blox’s popular SARA form factor. With 2G and 3G sunsets continuing globally, the SARA-R10 offers product designers using 2G and 3G u-blox SARA modules a straightforward upgrade path to 4G LTE – the most widely available global cellular standard today and for many years to come.

The LEXI-R10 and SARA-R10 offer the option to embed an eSIM, and both modules also include an integrated Wi-Fi Sniffer, providing Indoor localisation via the u-blox CellLocate service based on both a Wi-Fi and cellular networks.

One of the variants is the SARA-R10M10, the world’s smallest LTE Cat 1bis module with embedded Global Navigation Satellite System (GNSS) capable of concurrent communication and tracking. It is the ideal solution for asset tracking and telematics applications that demand continuous connectivity as well as indoor and outdoor positioning anywhere in the world, thanks to the blend of GNSS, Wi-Fi scan and global LTE coverage. This module is also 50% smaller than u-blox’s previous LTE Cat 1bis combo, the LENA-R8M10.

The new u-blox R10 modules give product designers a 4G cellular connectivity solution for IoT applications that require medium data rates, worldwide portability, ultra-low power consumption and compact sizes.

https://www.u-blox.com

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TI’s SimpleLink wireless microcontroller enables reliable long-range communication

Mouser Electronics, is now stocking the CC1354P10 SimpleLink wireless microcontroller (MCU) from Texas Instruments. The CC1354P10 device, optimised for low-power wireless communications, features on-chip over-the-air update capabilities and advanced security features. The CC1354P10 SimpleLink wireless microcontroller enables long-range and reliable communication in a range of applications, including building security systems, smart meters, HVAC, medical, wired networking, portable electronics, home theatre and entertainment, and connected peripherals.

The Texas Instruments CC1354P10 is a multiprotocol and multi-band Sub-1 GHz and 2.4 GHz wireless microcontroller. The CC1354P10 device includes wireless protocol support for Thread, Zigbee, Bluetooth 5.3 Low Energy, IEEE 802.15.4, IPv6-enabled smart objects, and proprietary systems. The CC1354P10 also supports Matter, an industry-unifying, IP-based connectivity protocol that streamlines the development of IoT applications while allowing seamless integration into a variety of ecosystems for smart homes, industrial automation, consumer electronics, smart agriculture, healthcare, and more.

The CC1354P10 device is part of the SimpleLink platform, which consists of Wi-Fi, Bluetooth Low Energy, Thread, Zigbee, Sub-1 GHz MCUs, and host MCUs that share a single-core software development kit (SDK) and rich tool set. A one-time integration of the SimpleLink platform allows users to add any combination of the portfolio’s devices into a design, allowing 100 percent code reuse when design requirements change. The multi-band wireless MCUs offer pin-to-pin compatibility from 352KBytes of Flash up to 1MByte of Flash in the 7 mm2 QFN package for maximum design scalability.

https://www.mouser.com

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Arrow Edge AI engineering services launches to boost support for advanced device development

Arrow Electronics is strengthening support for customers seeking to accelerate their embedded applications with artificial intelligence and machine learning by launching Arrow Edge AI engineering services. The resources include engineering consultancy, technical training, design services, ready-to-use software, and a curated selection of vendor-specific and independent tools.

“Analysts say AI will be one of the biggest technologies of the coming decade. In fact, AI algorithms are already embedded in many consumer and industrial applications and are an essential ingredient for reaching the latest performance and power efficiency targets,” said Morten Block, marketing director EMEA, Arrow Electronics. “Developing AI applications to run on edge computing platforms is no trivial task, so Arrow Edge AI engineering services is here to handle the challenges. With solutions for every stage of the development lifecycle, we help our customers keep their projects on track, from initial analysis and determining the right approach, to algorithm development, model training, optimisation, and deployment.”

Edge AI represents numerous opportunities for product developers to create innovative products, such as wearables, IoT gateways, smart sensors, autonomous machines, and others, to be deployed throughout factories, cities, homes, smart buildings, agriculture, utility networks, and retail. In addition to increasing performance and efficiency, edge AI can also enhance security and relieve dependence on continuous network connectivity.

The Arrow Edge AI engineering services portfolio covers the spectrum of edge AI applications, including object detection, facial recognition, industrial inspection, voice control, sound analysis, and touch sensing.

In addition to consulting and design assistance, Arrow Edge AI engineering services will offer extensive training, including AI theory, algorithm development, modelling, software tools, and applications such as predictive maintenance. Accessible through an online hub, the service will also provide learning resources, articles and videos to help users achieve their goals.

https://www.gotostage.com

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