Machine learning (ML) is becoming increasingly important for microcontrollers because it enables smart and autonomous decision-making in embedded systems. The many Internet of Things (IoT) applications — often called “smart devices” — only become intelligent thanks to ML. Microcontrollers are commonly used in edge computing devices where data is processed locally rather than being sent…

The STMicroelectronics ASM330LHB automotive-qualified MEMS inertial-sensing module provides accurate measurements for a variety of vehicle functions and, with the dedicated software provided, addresses functional-safety applications up to ASIL B. The module contains a 3-axis digital accelerometer and 3-axis digital gyroscope, designed for a lifetime on the road, and provides a six-channel synchronized output. Its high-accuracy inertial…

STMicroelectronics has launched three new accelerometers with advanced processing engines built-in to extend sensor autonomy, enabling systems to respond more quickly to external events while lowering power consumption. The LIS2DUX12 and LIS2DUXS12 leverage ST’s third-generation MEMS technology, adding programmable capabilities including a machine-learning core (MLC), advanced finite state machine (FSM), and an enhanced pedometer. A third entry-level accelerometer, LIS2DU12,…

Machine learning (ML) and artificial intelligence (AI) are no longer limited to high-end servers or cloud platforms. Thanks to new developments in integrated circuits (IC) and software technology, it’s possible to implement ML algorithms and deep learning neural networks on tiny controllers and microcomputers. And these embedded devices installed at edges must no longer rely…

Renesas Electronics Corporation, a supplier of advanced semiconductor solutions, announced that it will present the first live demonstrations of artificial intelligence (AI) and machine learning (ML) implementations on an MCU based on the Arm Cortex-M85 processor. The demos will show the performance uplift in AI/ML applications made possible by the new Cortex-M85 core and Arm’s…

Autonomous driving (AD) and advanced driver-assistance systems (ADAS) rely on the precise sensing of the vehicle’s surrounding environment to safely navigate. Global manufacturers have turned to advanced sensors and algorithms to enhance perception and reach unprecedented levels of safety. TERAKI, a provider of edge sensor processing, has released the latest radar-detection software that accurately identifies…

The continuous computational demands of artificial intelligence (AI) and machine learning (ML) workloads, cloud computing, and data analytics deployed on traditional parallel attached memory have reached an efficiency plateau due to the limitations of increased memory channels on a processor. Microchip Technology Inc. has announced the expansion of its serial-attached memory controller portfolio with the…

Renesas Electronics Corporation, a supplier of advanced semiconductor solutions, has announced the completion of the acquisition of Reality Analytics, Inc., a provider of embedded AI solutions. The deal went through as of July 19, 2022, following Reality AI shareholders’ and required regulatory approval. Headquartered in Columbia, Maryland, U.S., Reality AI offers a wide range of embedded AI…

STMicroelectronics’ ASM330LHHX inertial measurement unit (IMU) moves smart driving another step closer to high levels of automation with its machine-learning (ML) core. The ML core enables fast real-time response and sophisticated functions with low system-power demand. Leveraging ST’s micro-electro-mechanical systems (MEMS) technology, the automotive-qualified ASM330LHHX houses a 3-axis accelerometer and 3-axis gyroscope in a 2.5 x 3…

STMicroelectronics, a global semiconductor provider serving customers across the spectrum of electronics applications, has announced the availability of Version 3 of NanoEdge AI Studio, the first major upgrade of the software tool for machine-learning applications that ST acquired with Cartesiam earlier this year. The new version of NanoEdge AI Studio comes as the shift of AI capabilities…

Habana Labs, an Intel Company, has announced the availability of an enterprise-class turnkey artificial intelligence (AI) training solution featuring the Supermicro X12 Gaudi AI training server and DDN AI400X2 storage system. With eight Habana Gaudi purpose-built AI processors, the Supermicro X12 Gaudi AI server provides customers with highly cost-efficient AI training, ease of use and…

Routers, switches, and line cards need higher bandwidth, port density, and up to 800-gigabit Ethernet (GbE) connectivity to handle escalating data-center traffic driven by 5G, cloud services and artificial intelligence (AI) and machine learning (ML) applications. To deliver the higher bandwidth, these designs need to overcome the signal integrity challenges associated with the industry’s transition…

Intel launched its newest generation Intel Xeon W-3300 processors, available today from its system integrator partners. Built for advanced workstation professionals, Intel Xeon W-3300 processors offer uncompromised performance, expanded platform capabilities, and enterprise-grade security and reliability in a single-socket solution. Intel Xeon W-3300 processors are intelligently engineered to push the boundaries of performance, with a…

STMicroelectronics has expanded the variety of machine-learning techniques available to users of the STM32Cube.AI development environment, giving extra flexibility to solve classification, clustering, and novelty-detection challenges as efficiently as possible. In addition to enabling development of neural networks for edge inference on STM32 microcontrollers (MCUs), the latest STM32Cube.AI release (version 7.0) supports new supervised and semi-supervised methods that…

Qeexo, developer of the Qeexo AutoML automated machine-learning (ML) platform that accelerates the development of tinyML models for the Edge, and STMicroelectronics, a global semiconductor provider serving customers across the spectrum of electronics applications, announced the availability of ST’s machine-learning core (MLC) sensors on Qeexo AutoML. “Adapting Qeexo AutoML for ST’s machine-learning core sensors makes it…

STMicroelectronics’ WiSE Studio — a free-of-charge Integrated Development Environment (IDE) dedicated to the BlueNRG system-on-chip (SoC) product family — is accelerating the design of smart, connected devices that leverage the latest Bluetooth technology. Featuring a user-friendly and customizable development environment with an extensive list of ready-to-build examples, the new IDE helps both expert and inexperienced users jump-start…