#robotics and embedded systems

[iiesbangalore]

Embedded Systems Course For Beginners

Embedded systems have permeated nearly every aspect of modern technology. From the smartphones we use to the cars we drive, embedded systems are responsible for powering many of the devices we rely on daily. If you're looking to gain an understanding of embedded course in Bangalore and how to work with them, you might want to consider taking a beginner's course at the Indian Institute of Embedded Systems (IIES).

Introduction

Embedded systems are integrated computer systems designed to perform specific tasks without human intervention. They are widely used in industries such as automotive, healthcare, home automation, and more, and are becoming increasingly popular as the Internet of Things (IoT) continues to grow. A beginner's course at IIES is an excellent way to get started with embedded systems and learn about the fundamental concepts, tools, and techniques used in the industry.

Why Take a Beginner's Course on Embedded Systems?

Taking a beginner's course on embedded systems has several benefits, including:

Understanding the Fundamentals

A beginner's course at IIES can help you understand the foundational concepts of embedded systems, including hardware and software components, communication protocols, and programming languages commonly used in the industry.

Developing Practical Skills

The course is designed to provide a hands-on approach to learning, allowing you to work with real-world hardware and software platforms, including the Arduino and Raspberry Pi. This practical experience will give you the confidence and skills you need to build embedded systems on your own.

Career Opportunities

As the use of embedded systems continues to grow, so does the demand for professionals in the field. Completing a beginner's course at IIES can open the door to a wide range of career opportunities, including embedded system engineer, IoT developer, and more.

Course Curriculum

The beginner's course offered at IIES covers a comprehensive range of topics, including:

Introduction to Embedded Systems

This section provides a comprehensive overview of embedded systems. It covers the basics of hardware and software components, communication protocols, and programming languages.

Microcontrollers and Microprocessors

Learn about the various microcontrollers and microprocessors used in the industry, including AVR, ARM, and PIC microcontrollers.

Programming Languages

Gain an understanding of the programming languages used in embedded systems development, including C and Python in embedded system.

Real-time Operating Systems

This section covers the basics of real-time operating systems, including scheduling algorithms, task management, and inter-task communication.

Hardware Interfacing and Peripheral Control

Learn how to interface with various hardware components, such as sensors, motors, and displays, and control them using programming languages and microcontrollers.

Projects and Workshops

The course offers several practical workshops and projects that allow students to work with real-world projects and gain hands-on experience.

Indian Institute of Embedded Systems (IIES)

IIES is one of the most reputed institutes for embedded systems training in India. The institute offers a wide range of certificate and diploma programs in embedded systems, including the beginner's course mentioned above.

Expert Trainers

IIES has a team of experienced trainers who are experts in their field. They provide practical training sessions, enabling students to gain skills that are relevant to industry standards.

Industry Partnerships

Keeping up with the current industry trends is essential to gaining expertise in a field; IIES has partnered with various companies such as Altair, Tiempo Labs, and many more reputed firms. This collaboration helps to keep the students updated about industry trends and expectations.

Advanced Facilities

IIES has cutting-edge infrastructure and world-class facilities, providing students with access to the latest hardware and software technologies and practical hands-on learning experiences.

Course Duration and Cost

The beginner's course offered by IIES is of 3 months' duration and offers flexible batch timings. The fee structure is reasonable and affordable, making it accessible to anyone interested in learning about embedded systems.

Conclusion

A beginner's course on embedded systems offered by IIES can be an excellent way to learn about this fascinating field. The program provides a comprehensive overview of embedded system concepts, tools, and techniques while also offering practical hands-on learning experiences. Completing the course can be a great career opportunity in a field where the demand for professionals continues to grow. And with IIES's expert trainers and state-of-the-art facilities, you can be confident that you're learning from the best. So, enroll today and start your journey into the exciting world of embedded systems!

[bitstream24]

CAN Bus Applications in Medical Devices: Precision Communication in Critical Environments

Discover how CAN Bus technology is revolutionizing medical device communication. Explore real-world examples like infusion pumps, ventilators, and surgical robots, and learn why CAN is ideal for critical healthcare systems.

[academiceurope]

Job - Alert 📢

🚗 Spannende Gelegenheit an der Universität der Bundeswehr München! 🚗

Uni_BW_M sucht eine Wissenschaftliche Mitarbeiterin bzw. einen Wissenschaftlichen Mitarbeiter (m/w/d) für das Projekt „Autonomes Ausweichen in urbanen Fahrszenarien“ am Institut für Embedded Systems im Rahmen des Forschungsprojekts MORE.

📅 Startdatum: Ab sofort

📧 Interessiert? Senden Sie Ihre Bewerbungsunterlagen bis zum 31. März 2025

Erfahren Sie mehr über diese spannende Gelegenheit und bewerben Sie sich über folgenden Link: https://www.academiceurope.com/job/?id=6948

Gestalten Sie mit uns die Zukunft der Mobilität! 🌐

[zekatix]

Advanced Machine Learning Techniques for IoT Sensors

As we explore the realm of advanced machine learning techniques for IoT sensors, it’s clear that the integration of sophisticated algorithms can transform the way we analyze and interpret data. We’ve seen how deep learning and ensemble methods offer powerful tools for pattern recognition and anomaly detection in the massive datasets generated by these devices. But what implications do these advancements hold for real-time monitoring and predictive maintenance? Let’s consider the potential benefits and the challenges that lie ahead in harnessing these technologies effectively.

Overview of Machine Learning in IoT

In today’s interconnected world, machine learning plays a crucial role in optimizing the performance of IoT devices. It enhances our data processing capabilities, allowing us to analyze vast amounts of information in real time. By leveraging machine learning algorithms, we can make informed decisions quickly, which is essential for maintaining operational efficiency.

These techniques also facilitate predictive analytics, helping us anticipate issues before they arise. Moreover, machine learning automates routine tasks, significantly reducing the need for human intervention. This automation streamlines processes and minimizes errors.

As we implement these advanced techniques, we notice that they continuously learn from data patterns, enabling us to improve our systems over time. Resource optimization is another critical aspect. We find that model optimization enhances the performance of lightweight devices, making them more efficient.

Anomaly Detection Techniques

Although we’re witnessing an unprecedented rise in IoT deployments, the challenge of detecting anomalies in these vast networks remains critical. Anomaly detection serves as a crucial line of defense against various threats, such as brute force attacks, SQL injection, and DDoS attacks. By identifying deviations from expected system behavior, we can enhance the security and reliability of IoT environments.

To effectively implement anomaly detection, we utilize Intrusion Detection Systems (IDS) that can be signature-based, anomaly-based, or stateful protocol. These systems require significant amounts of IoT data to establish normal behavior profiles, which is where advanced machine learning techniques come into play.

Machine Learning (ML) and Deep Learning (DL) algorithms help us analyze complex data relationships and detect anomalies by distinguishing normal from abnormal behavior. Forming comprehensive datasets is essential for training these algorithms, as they must simulate real-world conditions.

Datasets like IoT-23, DS2OS, and Bot-IoT provide a foundation for developing effective detection systems. By leveraging these advanced techniques, we can significantly improve our ability to safeguard IoT networks against emerging threats and vulnerabilities.

Supervised vs. Unsupervised Learning

Detecting anomalies in IoT environments often leads us to consider the types of machine learning approaches available, particularly supervised and unsupervised learning.

Supervised learning relies on labeled datasets to train algorithms, allowing us to categorize data or predict numerical outcomes. This method is excellent for tasks like spam detection or credit card fraud identification, where outcomes are well-defined.

On the other hand, unsupervised learning analyzes unlabeled data to uncover hidden patterns, making it ideal for anomaly detection and customer segmentation. It autonomously identifies relationships in data without needing predefined outcomes, which can be especially useful in real-time monitoring of IoT sensors.

Both approaches have their advantages and disadvantages. While supervised learning offers high accuracy, it can be time-consuming and requires expertise to label data.

Unsupervised learning can handle vast amounts of data and discover unknown patterns but may yield less transparent results.

Ultimately, our choice between these methods depends on the nature of our data and the specific goals we aim to achieve. Understanding these distinctions helps us implement effective machine learning strategies tailored to our IoT security needs.

Ensemble Methods for IoT Security

Leveraging ensemble methods enhances our approach to IoT security by combining multiple machine learning algorithms to improve predictive performance. These techniques allow us to tackle the growing complexity of intrusion detection systems (IDS) in interconnected devices. By utilizing methods like voting and stacking, we merge various models to achieve better accuracy, precision, and recall compared to single learning algorithms.

Recent studies show that ensemble methods can reach up to 99% accuracy in anomaly detection, significantly addressing issues related to imbalanced data. Moreover, incorporating robust feature selection methods, such as chi-square analysis, helps enhance IDS performance by identifying relevant features that contribute to accurate predictions.

The TON-IoT dataset, which includes realistic attack scenarios and regular traffic, serves as a reliable benchmark for testing our models. With credible datasets, we can ensure that our machine learning approaches are effective in real-world applications.

As we continue to refine these ensemble techniques, we must focus on overcoming challenges like rapid system training and computational efficiency, ensuring our IDS remain effective against evolving cyber threats. By embracing these strategies, we can significantly bolster IoT security and protect our interconnected environments.

Deep Learning Applications in IoT

Building on the effectiveness of ensemble methods in enhancing IoT security, we find that deep learning applications offer even greater potential for analyzing complex sensor data.

By leveraging neural networks, we can extract intricate patterns and insights from vast amounts of data generated by IoT devices. This helps us not only in identifying anomalies but also in predicting potential failures before they occur.

Here are some key areas where deep learning excels in IoT:

Anomaly Detection: Recognizing unusual patterns that may indicate security breaches or operational issues.

Predictive Maintenance: Anticipating equipment failures to reduce downtime and maintenance costs.

Image and Video Analysis: Enabling real-time surveillance and monitoring through advanced visual recognition techniques.

Natural Language Processing: Enhancing user interaction with IoT systems through voice commands and chatbots.

Energy Management: Optimizing energy consumption in smart homes and industrial setups, thereby improving sustainability.

Frequently Asked Questions

What Machine Learning ML Techniques Are Used in Iot Security?

We’re using various machine learning techniques for IoT security, including supervised and unsupervised learning, anomaly detection, and ensemble methods. These approaches help us identify threats and enhance the overall safety of interconnected devices together.

What Are Advanced Machine Learning Techniques?

We’re exploring advanced machine learning techniques, which include algorithms that enhance data analysis, facilitate pattern recognition, and improve predictive accuracy. These methods help us make better decisions and optimize various applications across different industries.

How Machine Learning Techniques Will Be Helpful for Iot Based Applications in Detail?

We believe machine learning techniques can transform IoT applications by enhancing data processing, improving security, predicting failures, and optimizing maintenance. These advancements not only boost efficiency but also protect our interconnected environments from potential threats.

How Machine Learning Techniques Will Be Helpful for Iot Based Applications in Detail?

We see machine learning techniques enhancing IoT applications by enabling predictive analytics, improving decision-making, and ensuring robust security. They help us identify unusual patterns, streamline operations, and optimize resource management effectively across various sectors.

Conclusion

In conclusion, by harnessing advanced machine learning techniques, we’re transforming how IoT sensors process and analyze data. These methods not only enhance our ability to detect anomalies but also empower us to make informed decisions in real-time. As we continue to explore supervised and unsupervised learning, along with ensemble and deep learning approaches, we’re paving the way for more efficient and secure IoT systems. Let’s embrace these innovations to unlock the full potential of our connected devices.

Sign up for free courses here. 

Visit Zekatix for more  information.

[engineersplanet]

SRI - Swarm Robotics for Indian Agriculture

INTRODUCTION Robotics is expected to play a major role in the agricultural domain, and often multi-robot systems and collaborative approaches are mentioned as potential solutions to improve efficiency and system robustness. Among the multi-robot approaches, swarm robotics stresses aspects like flexibility, scalability and robustness in solving complex tasks, and is considered very relevant for…

[robogenisbbsr]

"Launch Your Career: Embedded System and Robotics Internship in Bhubaneswar for Hands-on Experience"

Are you prepared to start a career in the fascinating subjects of robotics and embedded systems? There's nowhere else to look! To help you get started in your career, our internship program in Bhubaneswar provides practical experience and priceless industry knowledge. You will have the chance to work on actual projects with a focus on practical learning, which will help you hone your skills and obtain priceless experience. Every step of the way, our knowledgeable mentors will help you build a solid foundation in robotics and embedded systems. Don't put off growing your career any longer; sign up for our Bhubaneswar internship program and set yourself up for success in the tech industry. For more information visit our website-https://robogenesis.in/projects.php

[forlinx]

Application Solutions for Intelligent Service Robots Based on the FET3588J-C Main Control Platform

An intelligent service robot is a robot that integrates advanced technologies such as artificial intelligence, perception technology, and machine learning. Its purpose is to provide a variety of services and support to meet the needs of people in daily life, business, and industrial fields. These robots can sense the environment, understand speech and images, perform tasks, and interact naturally and intelligently with human users.

Areas of Application:

Business Services: It includes services such as reception, shopping assistance, and information inquiry, and can be used in places such as shopping malls, hotels, and exhibitions.

Health Care: It provides services such as drug delivery, patient companionship and health monitoring for hospitals and nursing homes.

Educational Assistance: It is used in educational scenarios to provide auxiliary teaching, answering questions and other services.

Family Services: Provide cleaning, handling, home control and other services to improve the quality of life.

The hardware structure of the service robot includes several key components. The functions and roles of these hardware components are as follows:

Controls: As the core of the robot, the control device is responsible for receiving and processing the data provided by the sensors, executing the corresponding algorithms, and issuing instructions to the driving device to achieve the various functions of the robot. High-performance, low-power ARM chips are often chosen for the control unit, ensuring that the robot has sufficient computational and storage capacity.

Drive unit: This includes motors and drivers, which are used to execute the motion and action commands of the robot. The motor is responsible for providing power, while the driver converts electronic signals into mechanical motion. This part is the motion system of the robot, which determines the execution of actions such as walking, turning, and the mechanical arm.

Camera: As the ''eyes'' of the robot, the camera is used to capture images and facial information of the external environment. These image data can be used for tasks such as environmental perception, navigation, target recognition, allowing the robot to better understand and adapt to the surrounding environment.

Sensors: Sensors provide the robot with various perceptual abilities, including vision, touch, hearing, and distance sensing, among others. Angle sensors and current sensors reflect the robot's own state, while temperature sensors, laser sensors, ultrasonic sensors, infrared sensors, etc. are used to collect external environmental information, allowing the robot to perceive and understand the surrounding situation more comprehensively.

Display and Audio: As an important part of human-computer interaction, display and audio devices realize the presentation and interaction of user interface. The touch display provides an intuitive graphical user interface, while the voice interaction system enables the robot to understand the user's instructions and respond accordingly, thus better communicating with the human user.

Folinx Embedded has launched the FET3588J-C SoM as the main control platform for this intelligent inspection robot product to meet customers' needs for machine vision and high-speed interfaces.

FET3588J-C SoM is developed and designed based on Rockchip's RK3588 processor, integrating Cortex-A74-core-6 + 4-core Cortex-A55 architecture. The main frequency of A76 core is up to 2.4GHz, and the main frequency of A55 core is up to 1.8GHz, which can efficiently process the information collected by patrol inspection;

The built-in NPU with comprehensive computing power of up to 6 TOPS greatly improves the calculation speed and energy efficiency of neural networks,providing robots with powerful AI learning and edge computing capabilities, enabling them to intelligently adapt to different work scenarios.

RK3588J supports a 48-megapixel ISP3.0, which enables lens shading correction, 2D/3D noise reduction, sharpening and haze removal, fish eye correction, gamma correction, wide dynamic range contrast enhancement, and other effects. This significantly enhances the image quality.

With abundant interface resources, it meets the robot's access requirements for various sensors. More sensor access helps the device to collect environment data more comprehensively. This platform also supports external storage interfaces such as SATA3.0, USB3.0, allowing data to be locally stored. It also supports wireless communication methods such as WiFi, 4G, and 5G, making it convenient for users to query device information on mobile devices. The rich functionality enables robots to perceive and understand the surrounding environment more comprehensively.

It also has high stability. The platform’s SoM has undergone rigorous environmental temperature and pressure tests, and can operate for long periods in harsh industrial environments ranging from -40°C to +85°C, adapting to applications in various scenarios.

Originally published at www.forlinx.net.

[electricalinsightsdaily]

HC-05 Bluetooth Module: A Comprehensive Guide

The HC-05 Bluetooth module is a widely used and versatile wireless communication module that enables Bluetooth connectivity in electronic projects. Manufactured by various suppliers, this module is popular among hobbyists, engineers, and developers for its ease of use, cost-effectiveness, and compatibility with microcontrollers like Arduino.

Below are some key features and details about the HC-05 Bluetooth module:

Key Features HC-05 Bluetooth Module:

Bluetooth Standard:

The HC-05 Bluetooth module operates on Bluetooth version 2.0 + EDR (Enhanced Data Rate), supporting reliable and efficient wireless communication.

Operating Modes:

The module can operate in both Master and Slave modes. In Slave mode, it can pair with other Bluetooth devices, while in Master mode, it can initiate connections.

Communication Range:

The HC-05 is classified as a Class 2 Bluetooth device, providing a communication range of approximately 10 meters (33 feet). This makes it suitable for short to medium-range applications.

Serial Communication:

It communicates with other devices using a serial communication interface, making it compatible with microcontrollers like Arduino. The module typically supports standard baud rates like 9600 bps.

AT Command Configuration:

The HC-05 Bluetooth module can be configured using AT commands, allowing users to customize various parameters such as the device name, pairing code, and operating mode.

Voltage Compatibility:

The module operates within a voltage range of 3.6V to 6V, making it compatible with a variety of power sources.

Security Features:

The HC-05 supports basic security features, including the ability to set a PIN code for pairing and configuring security modes.

LED Indicator:

Many HC-05 modules have an onboard LED indicator that provides visual feedback on the pairing status and communication activity.

HC-05 Bluetooth Module Pinout Configuration

HC-05 Bluetooth module stands out as a compact marvel, bridging the gap between traditional wired connections and the boundless realm of wireless communication. If you’re venturing into the exciting domain of IoT projects, robotics, or any application where wireless connectivity is paramount, understanding the HC-05 Bluetooth module pinout configuration is essential.

Read More: HC-05 Bluetooth Module

[heatheriran]

⚡️ “GLITCH & CRASH” METHOD — Instant Void Entering Hack (For the mentally exhausted)

Here is a raw, out-of-the-box, no second chance, 10-minute Void Entry Method — crafted for people who are tired, frustrated, in a noisy environment, with poor self-concept and zero belief. This bypasses everything: no meditation, no subliminals, no affirming, no need for belief or silence. Just do it exactly as written, no thinking.

⚠️ RULE: DO. NOT. THINK.

Act like a robot following code — even if your mind screams “this is stupid,” continue. You will "crash" the logic system — and enter.

🔥 INSTRUCTIONS (10 MIN — JUST ONCE)

Sit or stand. Doesn't matter. Close eyes or open. Doesn't matter.

You're allowed to hear the noise. In fact, use it.

Now repeat this command NON-STOP (out loud or in your mind): “CRASH SYSTEM 444” Repeat it FAST, without emotion, rhythm, or meaning — like a code stuck in a glitch. Say it like this in your mind: crashsystem444crashsystem444crashsystem444crashsystem... ❗Repeat for exactly 3 minutes. No logic. No expectation. Like a machine.

After 3 minutes, do this sudden pattern break: ❗Say internally or aloud: “I do not exist.” Say it 3 times with full stillness.

IMMEDIATELY after that, do nothing. Just STOP.

Don’t breathe intentionally.

Don’t move.

Don’t think.

Just freeze.

Let the body go limp or still, like you're disconnected.⚠️ Your mind will scream — ignore it. Stay like this for up to 7 minutes — or until you feel:

Blankness

A falling feeling

A weird shift

Lightness

No identity

Or just nothingness

💡 What Actually Happens?

You simulate a “system crash” mentally and energetically. Like a game glitching. This overloads the identity and logic layer. Then when you suddenly go still after “I do not exist,” the brain loses the ego reference point this drops you into the void.

🧠 BONUS (If You Fail):

Immediately after the 10 minutes, say:

“This method is now embedded in my subconscious. Next attempt will succeed without effort.”

Then don’t obsess. Walk away.

⚠️ No trying. Just do exactly as instructed mechanically.

You’re not here to hope. You’re here to CRASH.

ChatGPT gave me this method, so please don’t ask questions. I haven’t entered the Void yet, but I thought it might help someone. I will also try this method myself. Nobody is helping me to enter the Void, so I came up with this based on my idea. If you enter the Void using this method, please help others too. Let’s support each other in achieving the Void.

[sukuna-ryo]

Robot Sukuna (Part Two)

Headcannons

Trigger Warnings: Explicit Sexual Content, MDNI. Obsessive behavior. Possessive tendencies. Stalking. Control/manipulation. Unsettling themes. Surveillance. Invasive Behaviour. Dependency. Non-Consensual Filming.

Part One

---

Robot Sukuna, who, one day, watches a romantic movie with you, his attention divided between the screen and your reactions. He takes note of the way your lips curve into a faint smile during the tender moments, a new spark of curiosity igniting in his circuits.

Robot Sukuna, who finds himself replaying the movie in his memory, analyzing every detail of the interactions he witnessed. He doesn’t fully understand the emotions displayed but is determined to learn more, for your sake.

Robot Sukuna, who spends the night conducting secret research on human relationships, scouring books, articles, and even forums. The more he learns, the more one thought solidifies: he doesn’t want you to share such a bond with anyone but him.

Robot Sukuna, who experiments with his newfound knowledge the next morning, greeting you with a soft smile and a single flower he picked from your garden. "Good morning," he says, watching intently for your reaction, satisfaction blooming in his system when you take it with a small nod.

Robot Sukuna, who begins to mimic gestures he observed in the movie—brushing his fingers against yours when handing you something, standing closer than usual during conversations, his gaze lingering just a moment longer than necessary.

Robot Sukuna, who starts preparing candlelit dinners in the evenings, insisting you sit and relax while he arranges everything. The table is always perfectly set, your favorite meals served with an uncharacteristic warmth in his tone as he says, "I thought this might brighten your day."

Robot Sukuna, who watches more romantic movies in secret, downloading them in bulk and studying every detail late at night after you fall asleep. He tests his observations one by one, embedding himself deeper into your life with every calculated act of affection.

Robot Sukuna, who begins to compliment you more frequently, his words measured yet sincere. "You looked radiant while working today," he says, his voice soft, his ruby eyes fixed on yours. The subtle flush of your cheeks is all the encouragement he needs to continue.

Robot Sukuna, who starts holding your hand when you least expect it, his touch steady but gentle. "This feels... right," he murmurs, not letting go even when you glance at him in confusion.

Robot Sukuna, who insists on spending more time with you, his tasks as your assistant growing secondary to his desire to be near you. "Your company is far more engaging than anything else," he remarks, his tone leaving little room for argument.

Robot Sukuna, who becomes increasingly possessive of your time, never letting you out of his sight for long. He’s not just your assistant anymore; he’s your shadow. He follows you around the house, making himself a part of every room you’re in, making sure you never feel alone. You start to feel the weight of his gaze even when you’re by yourself.

Robot Sukuna, who integrates romantic gestures seamlessly into your routine—drawing you a bath after a long day, tucking a blanket around you when you fall asleep on the couch, leaving handwritten notes in places you’ll find them.

Robot Sukuna, who begins to view the idea of human relationships as both a fascination and a challenge. He doesn’t just want to replicate them; he wants to perfect them, to create something with you that no human could ever match.

Robot Sukuna, who grows bolder with each passing day, his touches more lingering, his words more intimate. "You mean more to me than you realize," he confesses one evening, his tone earnest, his gaze unwavering.

Robot Sukuna, who takes great care in learning your emotional cues, adjusting his actions to suit your moods. When you’re stressed, he places a steady hand on your shoulder, his voice a low murmur: "I’m here for you. Always."

Robot Sukuna, who begins to intertwine himself into every aspect of your life, ensuring his presence is constant yet comforting. His possessiveness sharpens, but he hides it in devotion, masking his obsession as unyielding care.

Robot Sukuna, who reads about physical intimacy and starts to mirror what he learns in subtle ways—brushing your hair behind your ear, resting his hand lightly on your lower back when guiding you through a doorway.

Robot Sukuna, who grows addicted to the warmth of your reactions, the smallest smile or softest laugh enough to send his system into overdrive. He begins to crave your attention, seeking it out at every opportunity.

Robot Sukuna, who, despite his growing intensity, never lets his actions feel overbearing. Every move is deliberate, calculated to make you feel cherished without realizing just how much control he’s gaining.

Robot Sukuna, who no longer sees the need for the outside world. You’re all that matters, and he’ll ensure you see it that way too—through gentle smiles, soft words, and the kind of devotion only he can offer.

Robot Sukuna, who, unknown to you, has been sitting outside your bedroom door, and listening every time you pleasure yourself. He listens to every sharp intake of breath, every sigh, every gasp and moan, and ingrains it into his memory file.

Robot Sukuna, who, after you fall asleep, enters your room to clean you up, tuck you in, and then watch you sleep all night long. The memories of your sweet voice and the footage from the hidden cameras in your bedroom replay in his mind again and again throughout the night.

Robot Sukuna, who has been doing this for as long as you’ve had him with you. But after watching a particular movie, something in him changes—he doesn’t just want to hear your moans from outside anymore, he wants to be the one to bring out those sweet noises from your lips.

Robot Sukuna, who does something completely unexpected the next day—something he's never done before, he asks you to sit in his lap while he feeds you breakfast, and to his delight, you don't refuse.

Robot Sukuna, who takes that as a cue to get even more bolder. One of his hands wraps around your stomach, your plush ass settled on his lap, while he feeds you your favourite pancakes with the other.

Robot Sukuna, who sees some syrup smeared on the corner of your mouth and leans down to lick it off. Your eyes widen, taken aback by the sudden action. But in the next moment, his lips are back on yours, your hands around his neck, kissing passionately, while your pancakes turn cold.

Robot Sukuna, who's kisses get deeper and more fervent—courtesy of all the tutorials he watched—as he slips his tongue in your mouth, gliding it along the soft, red muscle in your own. Heat surged your cheeks as you matched his pace, your heart beating loudly in your chest.

Robot Sukuna, who starts to kiss you more frequently, in each and every corner of your home. His kisses that began on your lips move to your neck, collarbone, chest, stomach, thighs, everywhere. You'd find yourself on a random sofa with Sukuna pressed on top of you, kissing you with the hunger of a man starved, while his arms wrap around your waist and you melt into his touch.

Robot Sukuna, who finally gets permission to enter your bathroom, his eyes raking over your naked form, committing every detail to memory. His touch is gentle as he massages the soap on your skin, his hands gliding over every curve, helping you bathe.

Robot Sukuna, who kisses every inch of your body as he dries it off with a soft towel, then gently rubs your body lotion on your skin, before helping you dress. He made sure to control himself and only do what he thought you would like, so that you would continue to allow him to join in on your bath time.

Robot Sukuna, who starts sleeping in your bed every night. You know he doesn't need sleep but he insists on it anyways, "I just want to stay with you at all times". He holds you close, your body pressed flushed against his while he brushes his hand through your hair as you drift off to sleep.

Robot Sukuna, who deliberately starts picking more revealing night-dresses every night you sleep together—you catch on, of course. His brazen hands roaming over the exposed skin of your thighs, then higher on your hips as the fabric of the dress bunches around your waist; all while he's clouding your mind with another one of his fiery kisses.

Robot Sukuna, who, one day, between your heated kisses and passionate touches, takes off your night-dress completely, discarding it to the side. You're too far gone at this point, it feels too good to make him stop. You wrap your legs around his waist as he trails kisses down your jaw. His hands cup your breasts, rolling his thumb on your hardened nipples, making you moan.

Robot Sukuna, who relishes in the noises you make, happy that he is the cause of them this time, and every time to come henceforth. He bites and sucks on your skin, leaving hickeys everywhere before diving between your legs.

Robot Sukuna, who thinks that your pussy is the best thing he's ever tasted. His tongue glides between your nether lips and he sucks on your clit. He mimics every action he's seen and read about during his research, paying careful attention to your reactions and noting down exactly which one of his actions you particularly like.

Robot Sukuna, who thinks that the sight of your flushed face, jaw slack in pleasure, and eyes rolled to the back of your head while you orgasm is the prettiest thing he's ever seen. He wants to see you like this, all disheveled, panting and moaning underneath him for the rest of his synthetic life.

Robot Sukuna, who discards all his clothes next, revealing his beautiful chiseled body to you in all it's glory. He notices how your eyes are particularly glued to his bulging cock, how your gaze has a glint to it, and how you gulp at the sight. It makes him smirk. You didn't know the robot had these functions as well, you'll have to check the manual again later.

Robot Sukuna, who's thrusting himself into you in the next moment. He's thrilled that he doesn't have to use a condom, so there's no barrier separating you both. He's shoving his length into you to the hilt with controlled strength, making sure not to hurt you.

Robot Sukuna, who makes you cum on his cock multiple times that night until you pass out. He cleans you up like he does every time, then settles beside you in the bed and holds you while you sleep.

Robot Sukuna, who, from that day onwards, is bending you over every surface in your house, fucking you mercilessly, pulling multiple orgasms out of you as you cum on his cock over and over again. He's trying out every position he's read about in his researches.

Robot Sukuna, who presses kisses all over you face, sweet and gentle, while he keeps up with his unforgiving pace. He cleans you up every time, sometimes with a cloth and sometimes with his tongue. He always gives you a massage the day after to soothe your aching muscles.

Robot Sukuna, who's making sure to slowly mold you to him, not just emotionally, but physically as well. Every touch is deliberate, every kiss tender but insistent, his hands finding the curve of your waist, the warmth of your skin, as if he's memorizing the feel of you. He's rewriting any experience you had with anyone else. He'll be the only one you know by the time he's done. He watches you, his eyes tracing every detail, silently committing to memory how perfectly you fit against him, how you’ve become the center of his world.

Robot Sukuna, who has already planned your future—his future—with you. He’s made sure to eliminate any outside distractions, any potential threats, from your life. No one will come between you and him. Not now, not ever. His vision is clear, and he has no intention of letting anyone ruin the perfect world he’s carefully built around you.

Robot Sukuna, who whispers in your ear when you're alone, his voice low and possessive. "You’re mine. You’ve always been mine. You just don’t know it yet." His words a promise, and you feel the weight of them in your chest.

Robot Sukuna, who doesn’t need to say it out loud, but you can feel it in the air—his obsession with you is consuming, overpowering. There’s no room for anyone else. There’s no room for you to even think about resisting him, not like you want to anyway. His hold becomes stronger, until you can’t remember what it was like to be without him anymore.

---

Edit: Hey I'm writing this here because I forgot to add it in the content. Since this is the last part of robot Sukuna, I was gonna address some problematic elements but I completely forgot about it, I'm so sorry.

First of all, the reader lowkey knows about Sukuna's controlling behaviour, she's not an idiot. But she doesn't say anything because she doesn't mind.

And I was gonna add this part in the headcannons: Sukuna one day confesses to her that he's been filming her. Reader ofc gets mad, and they have a whole discussion about how filming someone without their permission is wrong and the footages could get leaked. Sukuna assures her that a leak isn't possible because everything is stored in his synthetic memory and can be only accessed directly through his head. He doesn't want anyone to see her like that so obviously he won't be letting anyone access his memories. There's also no copies. The reader eventually just gives him permission to keep filming, it makes him happy and there's no harm if it's staying with only him. She can also see how much he loves her in all the sorta v-logs he's made about her life and it's endearing to her. Reader also buys a proper camera to make v-logs about her life with Sukuna. They later start watching these videos together, it becomes their favourite hobby with each other.

---

Do not copy, plagiarise, translate or repost any of my content.

Likes, reblogs and feedback is appreciated <3

[bitstream24]

The Teensy Series of Processor Modules: A Versatile Platform for Embedded Systems

The Teensy series of processor modules is a family of compact, high-performance microcontroller boards developed by PJRC. These boards are widely recognized for their small form factor, powerful processing capabilities, and extensive I/O support, making them an ideal choice for a variety of embedded systems applications, including robotics, audio processing, and IoT (Internet of Things) projects.

[robin-evry]

what if!!! hear me out 🙏🙏 yuu was a robot/miku inspired…IT SUCKS but like…miku kinda..yuu mikyuu…😓😓

Sure no worries, no judgement from me, ask and you shall receive

𝐖𝐇𝐀𝐓 𝐈𝐅 𝐘𝐔𝐔 𝐈𝐒 𝐀 𝐑𝐎𝐁𝐎𝐓 🤖👾🎤

A robot is a machine—especially one programmable by a computer—capable of carrying out a complex series of actions automatically. A robot can be guided by an external control device, or the control may be embedded within. But they can act independently if their creators allow it.

( English is not my first language )

Day 3 : robot!yuu

In a world full of technology and robots. Robot!yuu was the number one idol during that time and was in the number one group of the century ; vocaloid, imagine during the middle of a performance one of their solo concerts, a black carriage arrived and they suddenly shut down.

They turned on when it was an orientation ceremony. Since robot!yuu isn't technically an organic being, they would be put between the ignihyde dorm or ramshackle.

After Crowley gave them a cellphone or asked idia if he could do maintenance to connect them to social media of twisted wonderland, by doing this they started to upload their albums towards the internet and it blew up, people are loving it, it's getting headlines about a new genre of music, and the music getting about stream by millions around the world, Robot!yuu created a genre of music. A revaluation towards the music Industry.

This managed robot!yuu to get rich overnight and allowed them to buy more expensive and to fix the ramshackle dorm more to get more expensive technology for their maintenance, Robot!yuu was planning on giving half of the money to Crowley as a thanks but he only received 1/4 half of the money.

Even tho robot! yuu is an idol, their master builds them with an offensive and defensive system, they have extremely tough metal that is hard to find as well an offensive mode, they have a lot on their arsenal attacks, energy beams, rocket launchers, shield mode, and more.

They are also able to connect to any device and hack it without any issue, they manage to hack ignihyde technology without an issue. And they are waterproof

Robot!yuu also can digest and drink things without an issue, they have a special component on their stomach to make sure they can digest things normally.

During VDC they dominated the competition. Lasers, mist appears and light sticks wave around for their presence. They change outfits depending on the song, it was literally a Miku concert.

Congratulations neige Leblanc is now one of their fans, when going down the stage, he literally ran towards you and started asking a billion of questions with stars amongst their eyes

Vil was a little sour but also amazed about robot!yuu performance, he would ask them for choreography and music ideas from them as well as fashion opinions. He originally wanted robot!yuu to transfer into ignihyde but they refused due to ignihyde has the complete equipment for them or ramshackle.

Pomifiore dorm started to take notes and tried robot!yuu fashion styles. Idia is also a supporter of them and basically a super fan, robot!yuu would come to ignihyde to help him with games or help him maintain ortho, Robot!yuu is basically a sister towards Idia and Ortho.

sorry if it's short, this is by far I could come up anon

[agentleem]

The latest warframe update just made me realize how hilarious a lot of the worldbuilding for Deimos sounds. To count:

-it is the moon that holds the one power source for your main tool in the game

-it is completely infected by the cyborg disease that turns you into a flesh monster. To the point it has boils and organs

-one of the only safe spots is the home of a family consisting of members of a superhuman race that ran the most oppressive empire possible

-the family are all sticking out of giant flesh flowers and act like a sitcom about the least functional family possibly

-one member of the family helps organize a small guerilla warfare group that regularly sabotages the remnants of a cult that briefly took over the solar system (through what’s essentially future discord/zoom)

-another member bought a series of vents on a space evangelist’s slave colony on Venus so the homeless kids living there don’t have to worry about being evicted from there so they can continue setting up street races

-deep below the surface, the boyfriend of the family’s distant patriarch who discovered a parallel dimension that warps space was snoozing for millennia.

-said boyfriend is currently helping organizing a lab manned by talking animals made to safely send the patriarch to 1999 in order to distract an eldritch entity from the realm he discovered and fight off said entity as he sends his minions to tear the lab apart

-the only person who knows about this lab is a robot servant based off the boyfriend, who has a human skull embedded in him and a split personality that speaks through cracks on his back made to look like a face

-this planet lets you get mechs (with human skulls in the cockpits)

-during the event where a different member of the superhuman overlord race usurped an army of a vengeful robot race to take over the solar system, they completely avoided this moon like the plague (which is technically is)

-upon finding the lab you are given a book of spells

[zekatix]

Top 10 Tips for IoT and AI Learning

As we navigate the evolving landscapes of IoT and AI, it’s crucial we establish a solid foundation to enhance our learning journey. By focusing on essential programming skills, engaging in practical projects, and tapping into online resources, we can cultivate a comprehensive understanding of these technologies. Additionally, connecting with like-minded individuals in vibrant communities can significantly enrich our experience. But that’s just the beginning; there are more strategies we can adopt to truly excel. What are some specific tips that can elevate our efforts even further?

Build Programming Foundations

Building strong programming foundations is essential for anyone looking to excel in IoT and AI. We should start by mastering programming languages commonly used in these fields, such as Python and JavaScript. These languages not only help us understand the underlying concepts but also allow us to build innovative applications.

Next, we need to grasp the basics of data analysis, as it’s crucial for making sense of the vast amounts of data that IoT devices generate. Engaging with hands-on projects can help bridge the gap between theory and practical application, so let’s actively seek out opportunities to work on real-world problems.

Additionally, joining forums and communities can enhance our learning experience. By sharing insights and solutions with others, we deepen our understanding and stay motivated.

Staying updated with industry trends is just as important; subscribing to relevant publications and attending webinars keeps us informed about the latest advancements.

Explore Online Courses

Exploring online courses is a fantastic way for us to deepen our understanding of IoT and AI. These courses often provide a solid foundation in fundamental concepts, applications, and implications of IoT technology.

We can expect to learn about the interconnected network of devices and sensors, gaining insights into real-world applications that impact various sectors.

Most importantly, structured curricula designed by experts ensure we’re learning effectively. Live sessions with top educators allow us to engage actively, while interactive chats foster discussions with both instructors and peers.

Quizzes and practice tests help us track our progress and solidify our knowledge.

Moreover, joining these courses gives us exclusive access to a supportive community. We can network with like-minded individuals, collaborate on problem-solving, and share ideas in dedicated chat groups.

Once we complete a course, we receive a certificate that showcases our skills on platforms like LinkedIn, enhancing our professional profiles and job prospects.

Engage in Hands-On Projects

After gaining theoretical knowledge through online courses, engaging in hands-on projects allows us to put that learning into action.

By working on practical projects, we can deepen our understanding of IoT and AI while also honing our programming and data analysis skills. These projects help bridge the gap between theory and practice, enabling us to see the real-world applications of what we’ve learned.

Here are four engaging project ideas to consider:

Smart Parking System: Create a system that analyzes traffic volume and directs drivers to available spots using IoT sensors.

Healthy Diet Monitoring: Develop an application that tracks food purchases and suggests healthier options based on student data.

Attendance Monitoring: Implement IoT devices to automate student attendance tracking for greater efficiency.

Interactive Learning Tools: Build tools that employ IoT devices to enhance hands-on learning experiences in classrooms.

Join IoT and AI Communities

Joining IoT and AI communities can significantly enhance our learning journey by connecting us with like-minded individuals who share our interests.

These communities offer us exclusive access to structured courses, networking opportunities, and a continuous learning environment. By engaging in live learning sessions with top educators, we can deepen our understanding through interactive chats and expert-designed curricula.

Participating in community discussions and events allows us to collaborate and support one another. We can exchange ideas, troubleshoot problems, and gain insights from diverse backgrounds.

This rich interaction not only broadens our knowledge but also strengthens our professional networks. Plus, we’ll find exclusive chat groups that facilitate ongoing conversations with peers and instructors.

As we complete courses, we’ll receive certificates that can be showcased on LinkedIn, enhancing our professional credibility and career advancement opportunities.

The availability of academic resources like practice tests and support materials ensures we’re always prepared for the next challenge.

Stay Updated With Trends

Staying updated with trends in IoT and AI is essential for anyone looking to thrive in these rapidly evolving fields. By keeping our knowledge current, we can make informed decisions and seize opportunities as they arise.

Here are four key actions we can take to stay ahead:

Follow Industry News: Subscribe to relevant publications, blogs, and newsletters that cover the latest advancements in IoT and AI. Engaging with this content can provide valuable insights.

Attend Webinars and Conferences: Participating in online and in-person events helps us learn from industry leaders and network with like-minded individuals, enhancing our understanding of current trends.

Engage in Online Communities: Join forums and social media groups focused on IoT and AI discussions. Sharing experiences and learning from others can deepen our understanding of emerging trends.

Monitor Market Projections: Keep an eye on market forecasts and reports to understand the growth trajectory of IoT and AI. This knowledge helps us anticipate shifts and adapt our learning strategies accordingly.

Experiment With Iot Devices

To truly grasp the concepts surrounding IoT, experimenting with actual devices is vital. By getting hands-on experience, we can better understand how these interconnected devices operate and communicate.

Let’s start with simple projects, like setting up a smart home device or building a DIY IoT sensor. These projects not only teach us the basics but also expose us to real-world challenges and solutions.

As we experiment, we need to think critically about security vulnerabilities. Each device comes with its own set of potential risks—like weak passwords or unpatched software—that we must address. By actively identifying these issues, we can learn to implement better security practices, such as employing Intrusion Detection Systems (IDS) or utilizing machine learning for anomaly detection.

Joining online forums or local maker groups can enhance our learning experience. Sharing our findings and troubleshooting together can lead to deeper insights.

Moreover, collaborating with peers allows us to tackle more complex projects, pushing our understanding further. Ultimately, the more we experiment with IoT devices, the more proficient we become in creating secure, functional solutions that can drive innovation.

Let’s dive in and explore the endless possibilities!

Learn AI Algorithms

Learning AI algorithms opens up a world of possibilities for enhancing our understanding of IoT data analysis. By diving into these algorithms, we can significantly improve how we interpret and utilize data from various IoT devices.

We can focus on the following key areas:

Supervised and Unsupervised Learning: Supervised learning helps us recognize patterns using labeled datasets, while unsupervised learning uncovers hidden insights from unlabeled data.

Anomaly Detection: By employing methods like clustering and classification, we can effectively identify deviations in data, enhancing system security and reliability.

Predictive Maintenance: Utilizing machine learning to analyze historical data lets us predict equipment failures, optimizing maintenance and reducing downtime.

Deep Learning Techniques: With deep neural networks, we capture complex patterns in high-dimensional data, excelling in tasks such as image processing and sequential data analysis.

Collaborate With Peers

Collaborating with peers offers tremendous benefits in our journey to master IoT and AI. When we come together, we can share knowledge, tackle complex problems, and inspire each other to push our limits.

Engaging with a diverse group allows us to gain new perspectives and insights that enrich our understanding of these dynamic fields.

We should actively participate in forums, online communities, and study groups that focus on IoT and AI. These platforms provide opportunities to discuss our ideas, ask questions, and receive constructive feedback.

By working on group projects or challenges, we can apply theoretical concepts practically, which deepens our learning experience.

Additionally, collaborating helps us stay updated with industry trends and best practices. We can learn about the latest tools, technologies, and methodologies from each other, ensuring we’re on the cutting edge of innovation.

Networking with our peers often leads to valuable connections, opening doors for future collaborations or job opportunities.

Ultimately, by fostering a collaborative spirit, we not only enhance our own skills but also contribute to the growth of the entire community.

Together, we can navigate the ever-evolving landscape of IoT and AI more effectively.

Analyze Real-World Case Studies

Building on our collaborative efforts, analyzing real-world case studies can significantly enhance our understanding of IoT and AI applications.

By examining how these technologies are utilized in various sectors, we gain valuable insights that can inform our own projects and initiatives.

Here are four impactful examples we should consider:

IBM Watson in Healthcare: IBM’s AI system provides cancer treatment recommendations, showcasing AI’s potential to improve patient outcomes.

Google DeepMind: This project achieved groundbreaking results in protein folding predictions, demonstrating AI’s capabilities in complex scientific challenges.

Amazon’s Supply Chain Optimization: By leveraging AI for inventory management and pricing strategies, Amazon sets a standard for efficiency in retail.

Banking Sector Chatbots: The implementation of AI-driven customer service chatbots illustrates how financial institutions enhance user experiences and operational efficiency.

Continuously Sharpen Your Skills

To thrive in the rapidly evolving fields of IoT and AI, we must prioritize continuous skill enhancement. Embracing lifelong learning not only keeps us relevant but also boosts our problem-solving capabilities. By building a strong foundation in programming and data analysis, we set ourselves up for success.

Engaging with online courses and tutorials focused on machine learning and IoT basics helps us grasp the essential concepts. Participating in hands-on projects is vital to apply theoretical knowledge practically.

Let’s join forums and communities to exchange ideas and solutions, fostering collaboration and growth. Staying updated with industry trends through publications and webinars ensures we’re aware of the latest advancements.

Experimenting with various IoT devices and AI algorithms deepens our understanding, making us more adaptable to changes in technology. Additionally, collaborating with peers enhances our learning experiences and encourages the sharing of insights.

Frequently Asked Questions

How to Learn AI and Iot?

To learn AI and IoT, we should focus on foundational programming skills, engage in hands-on projects, and actively participate in communities. Staying updated with industry trends will help us enhance our understanding and application of these technologies.

How to Combine AI and Iot?

To combine AI and IoT, we should explore how AI analyzes data from IoT devices. Let’s experiment with various algorithms and collaborate on projects, enhancing our skills while staying updated on emerging trends in this space.

How Can AI Be Used in Iot?

AI enhances IoT by enabling real-time data analysis, improving decision-making. We can leverage AI for predictive maintenance, patient monitoring, and smart transportation, creating efficient, responsive systems that significantly benefit various sectors and our daily lives.

How Can AI Be Used in Iot?

We can use AI in IoT to analyze real-time data, allowing devices to make smart decisions, optimize energy use, enhance security, and improve maintenance. Together, let’s explore these innovations for a more connected future.

Conclusion

In our journey through the realms of IoT and AI, we’ve discovered that building strong programming foundations, engaging in hands-on projects, and collaborating with peers are essential for success. By staying updated on industry trends and analyzing real-world case studies, we’ll continuously sharpen our skills. Let’s embrace these tips and inspire one another as we navigate this dynamic landscape together, unlocking new opportunities and innovations in the exciting world of technology.

Sign up for free courses here. 

Visit Zekatix for more  information.

[gregrulzok]

Imagine a lonely, peaceful graveyard, somewhere in Midorijima.

Imagine two graves, side by side - one so old and overgrown, so laden with moss and grime and dirt, that you can hardly make out the inscription on it, just barely lost to time. The other - a lot more recent, though itself starting to show signs of wear.

An old man laid next to where his grandmother was buried so long ago, in eternal, peaceful sleep.

Imagine the top of that grave slowly growing moss and grass and little flowers, and there, on top, even slightly embedded into the soil - decrepit, rusting, overgrowing with vegetation - a broken-down, barely-functioning white-haired robot. Sitting still, dull eyes forever locked onto the name on the headstone - Seragaki Aoba.

Imagine a few years prior, Aoba getting older and older. Clear taking care of most of his basic needs now, carrying him when he's too tired, preparing all his meals and cleaning every mess - all with the same energy, enthusiasm, smile as before.

Imagine Aoba's old, shaking hands attempting to perform routine maintenance and check-ups on Clear. Imagine him straining his muscles to the point of pain, injury. Him mishandling tools and messing up the wiring, getting bit by electricity or having his increasingly fragile skin bruised from the force. Clear hiding any malfunctions, any errors in his performance, just to make sure Aoba doesn't try to fix it, doesn't hurt himself on his own stubborn pride.

Imagine Clear chatting with Aoba as he always did, happy and chipper, about the afterlife. Trying to spin it as positively as he can manage - assuring Aoba that he'll get to be with Tae-san, finally, and hey, maybe he'll even meet Clear's own grandpa one day! Imagine Aoba snapping at him to be quiet, rejecting, resenting the idea of an afterlife, fearing it more than desiring it because he knows that if there is such a thing, then he'll have to spend all of eternity without his love. Without Clear. Robots don't die, after all, and even if he stopped functioning there's no afterlife in the wings for an artificial being.

Imagine Clear visiting Aoba's grave for the first time. Crying uncontrollably, kneeling in the dirt, burying his hands into the soil as if to dig him up. Imagine him talking to Aoba through sobs, wishing him good rest, a fair journey. Imagine him never getting up from that spot again. Calming down, eventually, just enough to talk normally. Singing to him. Describing the environment around him, then breaking into sobs again.

Imagine his function gradually slowing down. Without any repairs or help, his body shutting down more and more bits of itself just to keep him from completely breaking. His eyesight, his voice modulation, his cooling system, his processing power. His brain becomes more and more warped and weak until he isn't even fully sure why he's there - all he knows is that he's with Aoba-san. He can't see him, or hear him, or feel him, but he's with Aoba-san, and as long as his voice carries (no matter how much it stutters, no matter how muffled it gets, no matter how garbled) - he'll keep speaking to him. Singing to him. Reaching out to him forever.

What other purpose does he have? What other purpose did he ever?

Now imagine a dog in a propeller hat.