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Filtering by tag: "embedded systems"

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AI In Embedded Systems – From Cloud to Chip

Learn why cloud-based AI struggles in embedded and edge systems, and how running AI directly on chips overcomes latency, bandwidth, power, and privacy challenges. Discover how edge AI enables real-time, deterministic, and energy-efficient intelligence while redefining the role of the cloud.

edge ai, embedded systems, cloud ai, ai accelerators, npus, real-time systems, low-power ai, on-device inference, industrial automation, iot, privacy, data sovereignty, model optimization, microcontrollers, edge computing

Add BAISC to an Arduino thanks to NanoBASIC

NanoBASIC UNO is a lightweight BASIC interpreter for Arduino boards, offering a simple and efficient way to program with real-time feedback, hardware control, and modern features like bitwise operations. Perfect for rapid prototyping and educational projects.

nanobasic, arduino, basic interpreter, atmega328p, microcontroller programming, repl, rapid prototyping, educational projects, hardware control, pwm, gpio, adc, embedded systems, open-source, mit license

Are Analog ICs the Way Forward in AI?

Unconventional AI is developing an analog chip to tackle AI’s scaling and energy efficiency challenges. Backed by Andreessen Horowitz, the startup aims to revolutionize neural network processing using energy-efficient analog circuits and memristor technology.

analog ics, ai hardware, unconventional ai, analog computing, memristors, energy-efficient ai, neural networks, startup innovation, naveen rao, analog circuits, ai scaling, tsmc, ai chips, machine learning, embedded systems, power efficiency

Renesas RA6W1 and RA6W2 Bring Wi Fi 6 to Ultra Low Power IoT

Dual band Wi Fi 6 MCUs offer ultra low power connectivity for always on IoT systems.

renesas, ra6w1, ra6w2, wi fi 6 mcu, bluetooth le, iot, low power connectivity, dual band wi fi, matter, ra family, embedded systems

STMicroelectronics Launches STM32V8, the First 18nm MCU for High-Performance Industrial and Edge AI Systems

ST introduces the STM32V8, the first 18nm MCU featuring FD-SOI technology, PCM memory and an 800 MHz Cortex-M85 core for advanced industrial and edge AI applications.

stmicroelectronics, stm32v8, microcontroller, mcu, 18nm, fd-soi, phase-change memory, industrial automation, robotics, edge ai, real-time control, cortex-m85, starlink, satellite, embedded systems

Micron Delivers Automotive UFS 4.1 to Power Next-Generation AI-Driven Vehicles

Micron’s automotive UFS 4.1 brings G9 NAND performance, faster boot times and high endurance to support AI-enabled ADAS and intelligent mobility systems.

micron, ufs 4.1, g9 nand, automotive storage, adas, automotive ai, autonomous vehicles, flash memory, embedded systems, edge ai, in-cabin systems, iso 26262, aspice, automotive memory

Würth Elektronik Expands MagI³C-VDMM Series for Smarter Point-of-Load Design

Würth Elektronik adds 1 A, 2 A, and 3 A MagI³C-VDMM MicroModules combining full DC-DC regulation, EMI compliance, and high efficiency in a 3.5 mm package

würth elektronik, magi³c-vdmm, power module, dc-dc converter, micromodule, power design, embedded systems, industrial electronics, energy efficiency, point of load

Silicon Labs Series 3 SoCs Bring PSA Level 4 Security and Matter-Certified Platform Support

Silicon Labs’ SixG301 family debuts with PSA Level 4 security and Matter Compliant Platform certification, enabling faster IoT product development.

silicon labs, sixg301, simg301, sibg301, series 3, soc, psa level 4, matter, secure vault, iot security, smart lighting, embedded systems

Renesas RA8T2 MCU Delivers 1 GHz Motor Control and Built-In Networking

Renesas launches RA8T2 MCUs with 1 GHz Cortex-M85, dual-core option, MRAM, and EtherCAT support for precision motor control and factory networking.

renesas, ra8t2, motor control, mcu, cortex-m85, ethercat, gigabit ethernet, mram, industrial automation, robotics, servo drives, cnc, embedded systems

Renesas Adds Capacitive Touch to Its Smallest, Lowest-Power RA0 MCUs

Renesas expands its RA0 MCU line with the RA0L1 series, adding built-in capacitive touch, ultra-low-power operation, and fast wake-up for cost-sensitive consumer, industrial, and battery-powered applications.

renesas, ra0l1, ra0 mcu, capacitive touch, low power mcu, cortex-m23, embedded systems, industrial control, consumer electronics, battery powered devices, energy efficient design, touch interface, qfn mcu, flexible software package, mixed signal mcu

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