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Machine learning

Multi-core MCUs feature AES-256 and RSA-4096 security

March 10, 2025 By Aimee Kalnoskas Leave a Comment

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 […]

Filed Under: Applications, Embedded, Embedded World 2025, Events, Machine learning, microcontroller, Products, Security Tagged With: synapticsincorporated

MPUs add graphics, audio, GbE, and time-sensitive networking

February 26, 2025 By Redding Traiger Leave a Comment

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 […]

Filed Under: Connectivity, Ethernet, Industrial, Machine learning, Medical, Microprocessor, Processors, Products, Security, Tools Tagged With: microchiptechnology

Display combines Pi compute with Clea OS

February 14, 2025 By Redding Traiger Leave a Comment

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 […]

Filed Under: Embedded, Embedded World 2025, Industrial, IoT, Machine learning Tagged With: Raspberry Pi, seco

Accelerating high-performance AI workloads with photonic chips

January 22, 2025 By Aharon Etengoff Leave a Comment

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 […]

Filed Under: Applications, Artificial intelligence, FAQ, Featured, Machine learning Tagged With: FAQ

MCU features neural-ART accelerator for edge processing

December 13, 2024 By Redding Traiger Leave a Comment

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. […]

Filed Under: Accelerators, Artificial intelligence, Consumer Electronics, Embedded, Industrial, Machine learning, microcontroller, Products, Tools Tagged With: stmicroelectronicsinc

How are AI and ML used for advanced threat detection?

November 20, 2024 By Jeff Shepard Leave a Comment

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 […]

Filed Under: Artificial intelligence, FAQ, Featured, Machine learning Tagged With: FAQ

Eight-channel SerDes device targets AI data center power efficiency

November 18, 2024 By Aimee Kalnoskas Leave a Comment

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 […]

Filed Under: Applications, Artificial intelligence, Data centers, Machine learning

Edge AI software suite adds five ready-to-deploy models

November 8, 2024 By Redding Traiger Leave a Comment

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 […]

Filed Under: Artificial intelligence, Industrial, Machine learning, Software, Tools Tagged With: infineontechnologiesag

Quad-core CPU runs at 1.4 GHz with 32 GB memory

October 22, 2024 By Redding Traiger Leave a Comment

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 […]

Filed Under: Embedded, Machine learning, Processors, Products, Tools Tagged With: sifive

How software segregation minimizes the impact of AI/ML on safety-critical software

July 11, 2024 By Aimee Kalnoskas Leave a Comment

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. […]

Filed Under: Applications, Artificial intelligence, FAQ, Featured, Featured Contributions, Machine learning Tagged With: FAQ, LDRA

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Five challenges for developing next-generation ADAS and autonomous vehicles

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RISC-V implementation strategies for certification of safety-critical systems

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Edge AI: Revolutionizing real-time data processing and automation

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