#8-bit microcontroller programming

[rdlof2llins]

https://www.futureelectronics.com/p/semiconductors--microcontrollers--8-bit/pic16f872-i-so-microchip-8119406

Low power microcontroller, embedded microcontroller, embedded microcontroller

PIC16F Series 3.5 kB Flash 128 B RAM 20 MHz 8-Bit Microcontroller - SOIC-28

[addohaislam2000]

What is an 8 bit Microcontroller, Programming microcontroller, lcd microcontrollers

PIC16F Series 7 kB Flash 256 B RAM 18 I/O SMT 8-Bit Microcontroller - SSOP-20

[dgls2nett]

https://www.futureelectronics.com/p/semiconductors--microcontrollers--8-bit/pic18f4520-i-pt-microchip-3154588

low power 8 bit microcontrollers, lcd microcontrollers, Microcontroller software

PIC18F Series 32 KB Flash 1.5 kB RAM 40 MHz 8-Bit Microcontroller - TQFP-44

[scott2yton]

https://www.futureelectronics.com/p/semiconductors--microcontrollers--8-bit/pic18f4520-i-pt-microchip-5300009

Wireless USB, Low power microcontroller, development board, Pic microcontrolle

PIC18F Series 32 KB Flash 1.5 kB RAM 40 MHz 8-Bit Microcontroller - TQFP-44

[jhhn2yalls]

https://www.futureelectronics.com/p/semiconductors--microcontrollers--8-bit/atmega128l-8au-microchip-2038197

What is 8 bit microcontroller, lcd microcontrollers, low power microcontrollers

ATmega Series 128 KB Flash 4 KB SRAM 8 MHz 8-Bit Microcontroller - TQFP-64

[dvid2leds]

https://www.futureelectronics.com/p/semiconductors--microcontrollers--8-bit/pic12f629t-i-sn-microchip-8748717

What is a microcontroller, programming microcontroller, lcd microcontrollers

PIC12F Series 1.75 kB Flash 64 B SRAM SMT 8-Bit Microcontroller - SOIC-8

[grhm2illo]

https://www.futureelectronics.com/p/semiconductors--microcontrollers--8-bit/pic16lf877a-i-ml-microchip-5373501

Embedded microcontrollers, microcontroller programming, USB microcontroller

PIC16 Series 14 kB Flash 368 B RAM 20 MHz 8-Bit Microcontroller - QFN-44

[tmslsburr]

https://www.futureelectronics.com/p/semiconductors--microcontrollers--8-bit/pic16c73b-04-sp-microchip-1274299

Microcontrollers, 8 bit, PIC16C73B-04/SP, Microchip

PIC16 Series 192 B RAM 4 K x 14 Bit EPROM 8-Bit CMOS Microcontroller - SPDIP-28

[vict2leelso]

https://www.futureelectronics.com/p/semiconductors--microcontrollers--8-bit/pic16c73b-20i-so-microchip-8276131

8 bit Embedded microcontrollers, 8 bit Wireless microcontrollers, programming

PIC16 Series 192 B RAM 4 K x 14 Bit EPROM 8-Bit CMOS Microcontroller - SPDIP-28

[nicla2llard]

Pic microcontroller, Programmable lcd microcontrollers, embedded microcontroller

PIC16F Series 1.75 kB Flash 224 B RAM 20 MHz 8-Bit Microcontroller - SOIC-18

[stevebattle]

Rug Warrior II (1993) by Joseph Jones (iRobot) and Anita Flynn (MIT AI Laboratory), MA. “The tank” has the same electronics and sensor suite as the first Rug Warrior, but its mechanical base is built from a LEGO tracked locomotion system. The control board on top contains a Motorola MC68HC11A0 8-bit microcontroller. “In open-loop control, there is no feedback from the motors, telling the robot’s program how fast the wheels are turning or how far the robot has gone. Rather, the motors are just given different commanded voltages. But depending on terrain, surface obstacles, slippage in wheel contacts, or load on the robot, the commanded voltages do not necessarilly imply particular speeds. To implement a true velocity- or position-control algorithm, the robot needs sensors on the wheels. … Such feedback enables what are known as closed-loop control algorithms. … The simple control loop we will use on Rug Warrior [is] called a P-I controller, for proportional-integral controller.” – Mobile Robots: Inspiration to Implementation, by Joseph Jones and Anita Flynn.

[cmxelcs]

Introduction of PIC16F720T-I/SS Microcontroller - PIC 16F - 8-Bit - 16MHz - 17 I/O - 3.5KB (2K x 14) FLASH - 128 x 8 RAM - 1.8 to 5.5V - 20-SSOP - T&R PIC16F720T a powerful 8-bit microcontroller engineered to meet a broad spectrum of application needs. With its advanced features and robust performance capabilities, this device is perfect for both novice and experienced developers. Whether you're working on embedded systems, consumer electronics, or industrial controls, this parts number delivers the flexibility and functionality required to bring your projects to life. MOQ of Embedded System IC Usually MOQ is 100pcs.More quantity more discount. PIC16F720T-I/SS is designed for efficiency and speed. It operates at a maximum clock speed of 20 MHz, ensuring rapid processing and quick response times. With 2 KB of flash program memory and 128 bytes of RAM, this microcontroller provides ample space for your programming needs. Its advanced architecture allows seamless execution of tasks, making it ideal for real-time applications. Application of PIC16F720 Embedded System IC The PIC16F720T-I/SS comes equipped with various connectivity options, including multiple I/O ports, PWM, and ADC capabilities. This comprehensive array of features allows developers to easily integrate sensors, actuators, and other devices, paving the way for innovative product designs. Whether you are creating simple circuits or complex systems, it supports your creativity with its versatile interfacing options. Note:We not only provide this parts number,but also available for similiar,like:PIC16F720T-I/SS and PIC16F720T-I/ML.Inquire us to talk if you are interested. More other type electronic components here and view here to know more about our company business. Read the full article

[rapidise]

The Evolution of Embedded Hardware: From Simple Circuits to Smart Devices

Embedded systems are all around us in today's hyperconnected world, from the sophisticated electronics controlling your car's engine to the smart thermostat that regulates the temperature in your house. One of the most amazing changes in technology is the progression from simple circuits to the advanced smart devices of today. This evolution, which has been fuelled by necessity and creativity, has been an intriguing one that has taken place over many decades. Understanding this history is essential for developers and businesses traversing this terrain, particularly when thinking about an embedded hardware design service that could help them realise their next big idea.

The Pioneer Days: Early Embedded Systems

The 1960s and 1970s marked the dawn of embedded computing, though it looked nothing like what we recognize today:

The Apollo Guidance Computer, which helped navigate astronauts to the moon, represented one of the first mission-critical embedded systems

Early embedded systems relied on discrete components rather than integrated circuits

These systems were enormous by today’s standards—filling entire cabinets

Programming was done through hard-wired logic or assembly language

Each system was custom-designed for a specific purpose with little flexibility

These primitive beginnings laid groundwork for what would become a technological revolution, yet the limitations were substantial. Memory was measured in kilobytes, processing power was minimal, and development required specialized expertise that few possessed.

The Microprocessor Revolution

Everything changed in the early 1970s with the introduction of the microprocessor:

Intel’s 4004, introduced in 1971, became the first commercially available microprocessor

For the first time, computing power could fit on a single chip

Development costs dropped dramatically, making embedded systems accessible to more industries

Early applications included calculators, cash registers, and industrial controllers

The 8-bit microcontroller era began, with chips like the Intel 8051 becoming industry standards

This miniaturization represented the first major leap toward modern embedded systems. Suddenly, intelligence could be added to previously “dumb” devices, creating new possibilities across industries from manufacturing to consumer electronics.

From Industrial to Consumer Applications

The 1980s and 1990s witnessed embedded systems transitioning from purely industrial uses to consumer products:

Video game consoles like the Nintendo Entertainment System introduced millions to embedded technology

Household appliances began incorporating microcontrollers for improved functionality

Automotive applications expanded rapidly, with engine control units becoming standard

Personal digital assistants (PDAs) showcased the potential for portable computing

Cell phones emerged as perhaps the most transformative embedded systems of the era

At this time, there started to appear specialized embedded hardware design service providers which assists businesses with intricate hardware designs. These services helped translate creative concepts into functioning products, allowing companies without internal capabilities to join the growing competition in the electronics industry.

The Networking Revolution and Embedded Connectivity

By the late 1990s and early 2000s, embedded systems gained a critical new capability—connectivity:

First-generation embedded networks often used proprietary protocols

Industry standards like CAN bus revolutionized automotive electronics

TCP/IP implementation in embedded devices paved the way for Internet connectivity

Wireless technologies like Bluetooth and later Wi-Fi liberated devices from physical connections

Remote monitoring and management became possible, changing service models forever

This networking capability transformed embedded systems from standalone devices to interconnected nodes, creating new possibilities for data collection and device management. Industries from healthcare to manufacturing began reimagining their processes around these newly connected devices.

The Rise of the Internet of Things (IoT)

The 2010s saw embedded systems become truly ubiquitous through the Internet of Things:

Consumer IoT products like smart thermostats, lighting, and speakers entered millions of homes

Industrial IoT revolutionized manufacturing through predictive maintenance and asset tracking

Agriculture embraced precision farming techniques using embedded sensor networks

Healthcare innovations included remote patient monitoring and smart medical devices

Urban infrastructure began incorporating embedded systems for “smart city” initiatives

With this explosion in applications came increasing complexity. An embedded hardware design service became essential for many companies looking to enter the IoT market, providing expertise in not just hardware but the integration of sensors, connectivity, and power management that modern IoT devices require.

Read Also: The Role of Embedded Hardware in IoT Devices

The Miniaturization Miracle

Throughout this evolution, one trend has remained constant—the drive toward smaller, more efficient devices:

Component sizes shrank from through-hole to surface-mount to microscopic

Power consumption decreased dramatically, enabling battery-operated portable devices

Wearable technology emerged as components became small enough to integrate into clothing and accessories

Medical implants shrank to minimize invasiveness while increasing capability

Sensors became small and inexpensive enough to deploy in massive numbers

This miniaturization has opened new frontiers in what’s possible with embedded systems. Today’s embedded hardware design services often specialize in extreme miniaturization, developing sophisticated systems that fit into spaces previously thought impossible.

The Processing Power Explosion

Modern embedded systems bear little resemblance to their ancestors in processing capability:

32-bit and 64-bit processors have replaced 8-bit chips in many applications

Multi-core processors enable complex real-time processing

Specialized hardware accelerators handle tasks like AI inference and video processing

For specific applications, field-programmable gate arrays (FPGAs) offer hardware that can be reconfigured.

 System-on-Chip (SoC) designs combine peripherals, memory, and CPUs into one unit.

With this processing capability, embedded systems can now perform tasks like computer vision and natural language processing that were previously only possible with general-purpose computers, all while retaining the dependability and deterministic behaviour that embedded systems need.

The Future: AI at the Edge and Beyond

Looking ahead, embedded systems continue evolving at a breathtaking pace:

Edge AI is pushing intelligence to embedded devices rather than relying on cloud processing

New materials and manufacturing techniques are enabling flexible and biodegradable electronics

Energy harvesting is reducing or eliminating battery dependencies

Quantum computing principles may eventually transform embedded processing

Neuromorphic computing aims to make embedded systems think more like biological brains

These frontiers represent both challenge and opportunity. Companies seeking to navigate this complexity increasingly turn to specialized embedded hardware design services that can transform cutting-edge concepts into viable products.

The evolution of embedded hardware marks one of the most remarkable journeys of technology, progressing from circuits to devices that think for us and are a part of our lives. This journey continues to accelerate as we enter the following decades which promise even more astonishing innovations. For companies that want to take part in the ongoing revolution, collaborating with specialized embedded hardware design services is crucial for changing futuristic concepts into reality.

[govindhtech]

Intel Quartus Prime Pro Edition 25.1 Optimized for Agilex 3

Altera Launches Quartus Prime Pro Edition 25.1 for Agilex 3 FPGAs

Now available is Quartus Prime Pro 25.1, which supports Agilex 3, the latest Agilex release. Developers may design high-performing, power-efficient edge and embedded programs with this update.

Comprehensive Agilex 3 FPGA support

Agilex 3 FPGA family offers cost optimisation, high performance, and power efficiency for edge and embedded applications. This version lets you develop, test, and implement solutions faster with Agilex 3 higher-speed transceivers, on-chip dual Cortex-A55 ARM CPUs, and increased memory support, including LPDDR4.

For small board space applications, Agilex 3 uses Intel's variable pitch BGA packaging to design more efficiently and compactly. With this technology, developers can maintain performance and power efficiency while adding functionality to smaller spaces.

Security is essential for FPGA applications to protect sensitive data and IP. Agilex 3's physical security, authentication, and encryption capabilities strengthen designs' manipulation and assault resistance.

Nios V Soft Processor Enhancements

Nios V is vital for embedded applications and improves efficiency and performance. These improvements allow developers to make smaller, more efficient embedded devices.

Improved Nios V/g Core Performance Improved work completion and overall performance.

Nios V/c Core Area reduction saves 8% space, leading in smaller designs.

The Ashling RISCFree IDE's Visual Studio Code plugin simplifies Nios V software development.

TinyML Example Design with Nios V Application Note lets developers add machine learning (ML) to FPGA designs utilising microcontrollers.

Features of Embed Software

FPGA-based embedded applications need strong OS and virtualisation support. By adding Linux, RTOS, and hypervisor support, Quartus Prime Pro 25.1 lets developers build scalable, real-time, and virtualised embedded systems.

Linux Hardware Reference Designs Regular and standard editions for Linux development.

To support Xen, developers can virtualise FPGA programs.

RTOS supports Zephyr and Bare Metal, and FreeRTOS will arrive in Q2 (May).

Installer Improvements: Faster, flexible configuration

FPGA software should install and adapt easily. Quartus Prime Pro 25.1 improves installation with parallel processing, configurable component selection, and file management.

Installation in Parallel speeds up setup by installing many components simultaneously.

By letting users choose just the bits they need, Dynamic Components decrease installation time and disc space.

Troubleshoot hardware quickly with streaming debugging

Effective debugging reduces development cycles. The Streaming Debug IP for Signal Tap helps engineers debug FPGA designs by capturing real-time, high-bandwidth data.

Hardware debugging streaming allows real-time data flow for analysis.

Configurable streaming via STP Signal Tap Logic Analyser configures streaming and selects a debug host.

Simulation Enhancements

Quartus Prime Pro 25.1 improves integration, long-term support, and simulation with new native Altera AXI4 Bus Functional Models (BFMs).

Optimised for Quartus simulation workflows, native Altera AXI4 BFMs increase performance and compatibility.

Smooth Change With better toolchain integration, customers may switch to Altera AXI4 BFMs without substantial modifications.

Quartus Prime Pro 25.1 improves simulation performance, notably for transceiver protocol IP, enabling faster debugging and verification.

Better Transceiver Protocol IP simulation enhances PCIe, Ethernet, Serial Lite, JESD, and other transceiver protocols.

25.1 Beta Models The new simulation models for this edition focus on Ethernet and PCIe and are under beta testing.

Improved Efficiency Usually, 50% or more improvements speed up verification and reduce simulation time.

These simulation additions improve Quartus Prime Pro 25.1's transceiver-based FPGA design capabilities by speeding up simulations and reducing verification time.

Extra Quartus Prime Pro 25.1 Updates

QPDS Standard & Pro Containerised Images Docker Hub offers Quartus Prime Standard and Pro Editions containerised, simplifying deployment and improving cloud and CI/CD compatibility.

Separating timed closure data from Design Assistant results simplifies failure classification in Summary of Design Closure.

SDC Relative File Paths improve portability and script management for Synopsys Design Constraints (SDC) reports.

MTBF improvements It lets users adjust instance toggling rates to improve MTBF when default toggle rates are not suitable.

Static timing analysis improvements in Quartus Prime Pro 25.1 speed up timing problem identification and resolution.

Synthesis supports basic Quad-Port RAM. Automatic quad-port RAM inference expands memory design flexibility.

Complete Support for Byte Enable Inference in Synthesis: This adds 8-bit byte enables and supports 5, 8, 9, and 10-bit combinations, matching hardware capabilities.

Correcter Management Users can now write individual bytes within a word using the byte enable control signal to increase memory access and performance.

Better RAM inference lets designers use FPGA memory more readily.

FPGA AI Suite: Improved Usability and AI

As AI advances, FPGA-based inference systems must be more flexible and effective. This release includes better performance estimation, model support, and Agilex FPGA integration.

Support Agilex 3 Beta FPGA AI Suite beta supports Agilex 3 FPGAs. Build in Quartus with Agilex 3 and generate Inference IP targeting Agilex 5 in the architectural configuration file.

The RPM and DEB packages are now called “altera-fpga-ai-suite-” and the AI Suite is installed in “/opt/altera” instead of “/opt/intel”.

YoloV7 Model Support enables high-accuracy object recognition in robotics, surveillance, and industrial quality control.

Agilex 5 FPGA E-Series Example Design Support New Agilex 5 FPGA E-Series 065B Modular Development Kit sample designs are available.

This SoC example uses an ARM host CPU for AI inference. AI Inference IP and a novel layout transform enable folding and run-time configurability to improve AI model performance and usability.

Example of Hostless JTAG-Attach Design A system console linked to the Inference IP via JTAG allows users to setup and control IP functionality step-by-step.

Performance Estimator Uses Memory Bandwidth Users may now define external memory bandwidth when designing for memory-limited devices like Agilex 5 and Agilex 3, improving accuracy.

OpenVINO 2024.6 Integration FPGA AI Suite 25.1 uses the latest OpenVINO 2024.6 for stability and maintainability.

For two years, Quartus Prime Pro versions will only include the Long-Term Support AI Suite, which uses new optimisations and performance improvements.

FPGA AI Suite 25.1 simplifies FPGA AI inference with faster performance, more example designs, and greater model support.

Quartus Prime Pro 25.1 IP Features

After adding Agilex 3 IP cores and upgrading Agilex 5, Quartus Prime Pro 25.1 delivers real-time data processing, flexible memory access, and rapid connectivity for many applications.

Agilex 3 IPs

Agilex 3 has a wide range of memory, processor, and connectivity IPs for low-cost applications:

1.25 Gbps LVDS and MIPI D-PHY high-voltage and fast adaptable I/O Assistance interfaces.

PCIe 3.0, 10GE Hard IP, and 12.5Gbps transceivers ensure high-bandwidth applications.

LPDDR4 provides cost-effective embedded memory up to 2133 Mbps.

HPS EMIF ensures tight ARM Cortex integration.

HD Image and Video Processing Our VVP package accelerates video and vision processing applications.

JESD204B for Synchronising Data Converters synchronises 12.5Gbps multi-channels accurately.

The Transceiver Toolkit for Advanced Debugging improved transceiver link testing and debugging.

Agilex 5 IP updates

Performance and flexibility enhancements to Agilex 5 series IP include:

PMA-Direct real-time adaptive reconfiguration of multiple configurations

PCIe 3.0/4.0 Multi-Channel DMA supports x2/x4 Root Port (RP) and Endpoint (EP) modes.

Agilex 5 D Series enabled 12.5 Gbps per serial channel in Interlaken for scalable data transport.

Transceiver Toolkit 17.16 Gbps JESD204B Advanced Debugging ensures rapid, accurate data flow.

Dual-Simplex Mode Protocol JESD204C expands high-speed ADC/DAC interface for more advanced signal processing.

O-RAN IP: Supports 15–240 KHz subcarrier frequencies and real-time spacing changes via control messages. Scalable and conserved digital power.

The Agilex 3 and Agilex 5 FPGAs are ideal for embedded, networking, and AI-driven applications due to their performance, efficiency, and adaptability.

Conclusion

Quartus Prime Pro 25.1 improves Agilex 3 support, debugging tools, AI acceleration, IP cores, and usability. Optimisation for embedded apps, high-speed interfaces, or AI workloads is faster, more efficient, and more flexible with this version.

[grhm2illo]

https://www.futureelectronics.com/p/semiconductors--microcontrollers--8-bit/pic16lf877a-i-ml-microchip-5373501

Embedded microcontrollers, microcontroller programming, USB microcontroller

PIC16 Series 14 kB Flash 368 B RAM 20 MHz 8-Bit Microcontroller - QFN-44

[addohaislam2000]

Microcontroller programming, what is a microcontroller, microcontroller software

PIC12F Series 1.75 kB Flash 64 B SRAM SMT 8-Bit Microcontroller - SOIC-8