Synaptics Incorporated has expanded its AI-Native platform with a new series of microcontroller units designed for edge computing applications. The SR-Series MCUs implement three operational tiers: a 100 GOPS performance tier, an efficiency tier, and an ultra-low-power always-on tier. The hardware architecture is based on an Arm Cortex-M55 core operating at speeds up to 400 […]
Machine learning
MPUs add graphics, audio, GbE, and time-sensitive networking
Microchip Technology announces its portfolio of SAMA7D65 MPUs based on the Arm Cortex-A7 core running up to 1 GHz and offered in a System-in-Package (SiP) with a 2 Gb DDR3L and System-on-Chip (SoC). The SAMA7D65 MPU series is designed to target Human-Machine Interface (HMI) and connectivity applications with its advanced graphic features. The graphic features of the SAMA7D65 […]
Display combines Pi compute with Clea OS
SECO S.p.A. and Raspberry Pi Ltd announce the presentation of the cutting-edge Human-Machine Interface (HMI) solution, the SECO Pi Vision 10.1 CM5 powered by Raspberry Pi Compute Module 5, at Embedded World 2025, the premier trade show for embedded technologies taking place from March 11-13 in Nuremberg, Germany. This new integrated solution underscores the companies’ shared […]
Accelerating high-performance AI workloads with photonic chips
Artificial intelligence (AI) and machine learning (ML) continue to push the limits of conventional semiconductor architectures. To increase speeds, lower latency, and optimize power consumption for high-performance workloads, semiconductor companies, and research institutions are developing advanced photonic chips that operate on the principles of light rather than electrical currents. This article discusses the limitations of […]
MCU features neural-ART accelerator for edge processing
STMicroelectronics is making embedded artificial intelligence (AI) truly here-to-help with a new microcontroller series integrating, for the first time, accelerated machine learning (ML) capabilities. This enables cost-sensitive, power-conscious consumer and industrial products to provide high-performance features leveraging computer vision, audio processing, sound analysis, and other algorithms, until now beyond the capabilities of small embedded systems. […]
How are AI and ML used for advanced threat detection?
The increasing number of threat vectors and the growing size of the attack surface in today’s communication and computer networks demand more powerful and faster threat detection. Legacy tools are no longer adequate. To ensure cybersecurity, high-speed threat detection based on artificial intelligence (AI) and machine learning (ML) is increasingly being deployed. This article reviews […]
Eight-channel SerDes device targets AI data center power efficiency
Point2 Technology announced its P1B121 Smart Retimer system-on-chip (SoC) for Active Electrical Cable (AEC) applications in AI/ML data centers. The chip integrates eight unidirectional SerDes channels supporting 112G PAM4 and 56G NRZ data rates, consuming 3.0 W of power for 112G PAM4 operation. The solution addresses growing data center power demands, as AI/ML workloads now […]
Edge AI software suite adds five ready-to-deploy models
Infineon Technologies AG is further strengthening its AI software portfolio as Edge AI comes to a growing number of consumer and industrial applications. With that in mind, the company introduces DEEPCRAFT, a new software solution category brand for Edge AI and Machine Learning. Infineon recognizes the huge potential of Edge AI for the market, and […]
Quad-core CPU runs at 1.4 GHz with 32 GB memory
SiFive’s P550 development board features a quad-core processor operating at 1.4GHz, with select units now available through electronics distributors. The full release, scheduled for December, will include Ubuntu 24.04 software. The development board specifications include 16-32GB LPDDR5 memory, 128GB eMMC storage, and multiple connectivity options including SATA, PCIe, SD card slot, M.2 interface, and USB […]
How software segregation minimizes the impact of AI/ML on safety-critical software
With the growing use of artificial intelligence and machine learning in safety-critical software, developers are considering software segregation and guardian applications to mitigate functional safety risks. By Mark Pitchford, LDRA The push toward artificial intelligence (AI) and machine learning (ML) in embedded systems raises questions about adapting functional safety processes and tools to achieve compliance. […]
