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Reinforcing its commitment to widening the accessibility to and innovation in the area of deep learning, NVIDIA has created a free, self-paced, online Deep Learning Institute (DLI) course, “Getting Started on AI with Jetson Nano.” The course's goal is to build foundational skills to enable anyone to get creative with the Jetson Developer Kit. Please be aware that this kit is for those who already own a Jetson Nano Developer Kit and want to join the DLI Course. A Jetson Nano is not included in this kit. Included in this kit is everything you will need to get started in the “Getting Started on AI with Jetson Nano” (except for a Jetson Nano, of course), and you will learn how to Set up your Jetson Nano and camera Collect image data for classification models Annotate image data for regression models Train a neural network on your data to create your own models Run inference on the Jetson Nano with the models you create The NVIDIA Deep Learning Institute offers hands-on training in AI and accelerated computing to solve real-world problems. Developers, data scientists, researchers, and students can get practical experience powered by GPUs in the cloud and earn a competency certificate to support professional growth. They offer self-paced, online training for individuals, instructor-led workshops for teams, and downloadable course materials for university educators. Included 32 GB microSD Card Logitech C270 Webcam Power Supply 5 V, 4 A USB Cable - microB (Reversible) 2-Pin Jumper Please note: Jetson Nano Developer Kit not included.

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What's with the silkscreen labels? They're all over the place. We decided to label the pins as they are assigned on the Apollo3 IC itself. This makes finding the pin with the function you desire a lot easier. Have a look at the full pin map from the Apollo3 datasheet. If you really need to test out the 4-bit SPI functionality of the Artemis, you're going to need to access pins 4, 22, 23, and 26. Need to try out the differential ADC port 1? Pins 14 and 15. The RedBoard Artemis ATP will allow you to flex the impressive capabilities of the Artemis module. The RedBoard Artemis ATP has the improved power conditioning and USB to serial that we've refined over the years on our RedBoard line of products. A modern USB-C connector makes programming easy. A Qwiic connector makes I²C easy. The ATP is fully compatible with SparkFun's Arduino core and can be programmed easily under the Arduino IDE. We've exposed the JTAG connector for more advanced users who prefer to use the power and speed of professional tools. If you need a lot of a GPIO with a simple program, ready to go to the market module, the ATP is the fix you need. We've added a digital MEMS microphone for folks wanting to experiment with always-on voice commands with TensorFlow and machine learning. We've even added a convenient jumper to measure current consumption for low power testing. With 1 MB flash and 384k RAM, you'll have plenty of room for your sketches. The Artemis module runs at 48 MHz with a 96 MHz turbo mode available and with Bluetooth to boot! Features Arduino Mega Footprint 1M Flash / 384k RAM 48MHz / 96MHz turbo available 6uA/MHz (operates less than 5mW at full operation) 48 GPIO - all interrupt capable 31 PWM channels Built-in BLE radio 10 ADC channels with 14-bit precision with up to 2.67 million samples per second effective continuous, multi-slot sampling rate 2 channel differential ADC 2 UARTs 6 I²C buses 6 SPI buses 2/4/8-bit SPI bus PDM interface I²S Interface Secure 'Smart Card' interface Qwiic Connector

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Plug a reader into the headers, use a Qwiic cable, scan your 125kHz ID tag, and the unique 32-bit ID will be shown on the screen. The unit comes with a read LED and buzzer, but don't worry, there is a jumper you can cut to disable the buzzer if you want. Utilizing SparkFun's handy Qwiic system, no soldering is required to connect it to the rest of your system. However, we still have broken out 0.1"-spaced pins if you prefer to use a breadboard. Utilizing the onboard ATtiny84A, the Qwiic RFID takes the six byte ID tag of your 125kHz RFID card, attaches a timestamp to it, and puts it onto a stack that holds up to 20 unique RFID scans at a time. This information is easy to get at with some simple I²C commands.

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The SparkFun MicroMod mikroBUS Carrier Board takes advantage of the MicroMod, Qwiic, and mikroBUS ecosystems making it easy to rapidly prototype with each of them, combined. The MicroMod M.2 socket and mikroBUS 8-pin header provide users the freedom to experiment with any Processor Board in the MicroMod ecosystem and any Click board in the mikroBUS ecosystem, respectively. This board also features two Qwiic connectors to seamlessly integrate hundreds of Qwiic sensors and accessories into your project. The mikroBUS socket comprises a pair of 8-pin female headers with a standardized pin configuration. The pins consist of three groups of communications pins (SPI, UART and I²C), six additional pins (PWM, Interrupt, Analog input, Reset and Chip select), and two power groups (3.3 V and 5 V). While a modern USB-C connector makes programming easy, the Carrier Board is also equipped with a MCP73831 Single-Cell Lithium-Ion/Lithium-Polymer Charge IC so you can charge an attached single-cell LiPo battery. The charge IC receives power from the USB connection and can source up to 450 mA to charge an attached battery. Features M.2 MicroMod (Processor Board) Connector USB-C Connector 3.3 V 1 A Voltage Regulator 2x Qwiic Connectors mikroBUS Socket Boot/Reset Buttons Charge Circuit JTAG/SWD PTH Pins Downloads Schematic Eagle Files Board Dimensions Hookup Guide Getting Started with Necto Studio mikroBUS Standard Qwiic Info Page GitHub Hardware Repo

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Onboard each moto:bit are multiple I/O pins, as well as a vertical Qwiic connector, capable of hooking up servos, sensors and other circuits. At the flip of the switch, you can get your micro:bit moving! The moto:bit connects to the micro:bit via an updated SMD, edge connector at the top of the board, making setup easy. This creates a handy way to swap out micro:bits for programming while still providing reliable connections to all of the different pins on the micro:bit. We have also included a basic barrel jack on the moto:bit that is capable of providing power to anything you connect to the carrier board. Features More reliable Edge connector for easy use with the micro:bit Full H-Bridge for control of two motors Control servo motors Vertical Qwiic Connector I²C port for extending functionality Power and battery management onboard for the micro:bit

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This carrier board combines a 2.4" TFT display, six addressable LEDs, onboard voltage regulator, a 6-pin IO connector, and microSD slot with the M.2 pin connector slot so that it can be used with compatible processor boards in our MicroMod ecosystem. We've also populated this carrier board with Atmel's ATtiny84 with 8kb of programmable flash. This little guy is pre-programmed to communicate with the processor over I²C to read button presses. Features M.2 MicroMod Connector 240 x 320 pixel, 2.4" TFT display 6 Addressable APA102 LEDs Magnetic Buzzer USB-C Connector 3.3 V 1 A Voltage Regulator Qwiic Connector Boot/Reset Buttons RTC Backup Battery & Charge Circuit microSD Phillips #0 M2.5 x 3 mm screw included

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The Arduino Pro Mini is a microcontroller board based on the ATmega328P. It has 14 digital input/output pins (of which 6 can be used as PWM outputs), 6 analog inputs, an on-board resonator, a reset button, and holes for mounting pin headers. A six pin header can be connected to an FTDI cable or SparkFun breakout board to provide USB power and communication to the board. The Arduino Pro Mini is intended for semi-permanent installation in objects or exhibitions. The board comes without pre-mounted headers, allowing the use of various types of connectors or direct soldering of wires. The pin layout is compatible with the Arduino Mini. The Arduino Pro Mini was designed and is manufactured by SparkFun Electronics. Specifications Microcontroller ATmega328P Board Power Supply 5-12 V Circuit Operating Voltage 5 V Digital I/O Pins 14 PWM Pins 6 UART 1 SPI 1 I²C 1 Analog Input Pins 6 External Interrupts 2 DC Current per I/O Pin 40 mA Flash Memory 32 KB of which 2 KB used by bootloader SRAM 2 KB EEPROM 1 KB Clock Speed 16 MHz Dimensions 18 x 33.3 mm (0.7 x 1.3") Downloads Eagle files Schematics

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The flexibility of the Artemis module starts with SparkFun's Arduino core. You can program and use the Artemis module just like you would an Uno or any other Arduino. The time to first blink is just 5 minutes away! We built the core from the ground up, making it fast and as lightweight as possible. Next is the module itself. Measuring 10 x 15 mm, the Artemis module has all the support circuitry you need to use the fantastic Ambiq Apollo3 processor in your next project. We're proud to say the SparkFun Artemis module is the first open-source hardware module with the design files freely and easily available. We've carefully designed the module so that implementing Artemis into your design can be done with low-cost 2-layer PCBs and 8mil trace/space. Made in the USA at SparkFun's Boulder production line, the Artemis module is designed for consumer-grade products. This truly differentiates the Artemis from its Arduino brethren. Ready to scale your product? The Artemis will grow with you beyond the Uno footprint and Arduino IDE. Additionally, the Artemis has an advanced HAL (hardware abstraction layer), allowing users to push the modern Cortex-M4F architecture to its limit. The SparkFun Artemis Module is fully FCC/IC/CE certified and is available in full tape and reel quantities. With 1M flash and 384k RAM, you'll have plenty of room for your code. The Artemis module runs at 48MHz with a 96MHz turbo mode available and with Bluetooth to boot!

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The Internet of Things (IoT) is a new concept in intelligent automation and intelligent monitoring using the Internet as the communications medium. The “Things” in IoT usually refer to devices that have unique identifiers and are connected to the Internet to exchange information with each other. Such devices usually have sensors and/or actuators that can be used to collect data about their environments and to monitor and control their environments. The collected data can be processed locally or it can be sent to centralized servers or to the cloud for remote storage and processing. For example, a small device at the size of a matchbox can be used to collect data about the temperature, relative humidity and the atmospheric pressure. This data can be sent and stored in the cloud. Anyone with a mobile device can then access and monitor this data at any time and from anywhere on Earth provided there is Internet connectivity. In addition, users can for example, adjust the central heating remotely using their mobile devices and accessing the cloud. This book is written for students, for practising engineers and for hobbyists who want to learn more about the building blocks of an IoT system and also learn how to setup an IoT system using these blocks. Chapter 1 is an introduction to the IoT systems. In Chapter 2, the basic concepts and possible IoT architectures are discussed. The important parts of any IoT system are the sensors and actuators and they are described briefly in Chapter 3. The devices in an IoT system usually communicate with each other and the important aspect of IoT communication is covered in Chapter 4. Chapter 5 proceeds with the features of some of the commonly used development kits. One of these, the Clicker 2 for PIC18FJ manufactured by mikroElektronika, can be used as a processor in IoT systems and its features are described in detail in Chapter 6. A popular microcontroller C language, mikroC Pro for PIC gets introduced in Chapter 7. Chapter 8 covers the use of a click board with the Clicker 2 for PIC18FJ development kit. Similarly, the use of a sensor click board is described as a project in Chapter 9, and an actuator board in Chapter 10. Chapters 11 and 12 cover Bluetooth and Wi-Fi technologies in microcontroller based systems, and the remaining chapters of the book demo the creation of a simple Wi-Fi based IoT system with cloud-based data storage. This book has been written with the assumption that the reader has taken a course on digital logic design and has been exposed to writing programs using at least one high-level programming language. Knowledge of the C programming language will be very useful. Also, familiarity with at least one member of the PIC series of microcontrollers (e.g. PIC16 or PIC18) will be an advantage. The knowledge of assembly language programming is not required because all the projects in the book are based on using the C language. If you are a total beginner in programming you can still access the e-book, but first you are advised to study introductory books on microcontrollers.

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This highly sensitive source picoammeter is designed for measuring and logging very small currents down to the pA range – making it an ideal instrument for scientific and research applications, including physics, materials science and electron microscopy. Full-featured at an affordable price, the SPA100 combines sensitivity, accuracy and stability to allow users to measure low currents with high precision as well as conveniently source bias voltages for experimentation. SPA100 also doubles as an ultra-high resistance meter, measuring accurately into the teraohm range. The SPA100 connects to PC via USB and utilises the complimentary software SPA – enabling users to easily measure, graph and capture readings with timestamps and measurement stability information. Features Input: ±2 mA to ±200 pA in 8 ranges Accuracy and Resolution (2 Hz): ±2 mA range: ±0.1%, resolution <20 nA ±200 uA range: ±0.1%, resolution <2 nA ±20 uA range: ±0.2%, resolution <200 pA ±2 uA range: ±0.2%, resolution <20 pA ±200 nA range: ±0.5%, resolution <2 pA ±20 nA range: ±0.5%, resolution <200 fA ±2 nA range: ±1.0%, resolution <20 fA ±200 pA range: ±1.5%, resolution <2 fA Sample rate: 2 Hz (18 bit) or 10 Hz (16 bit) Adjustable filter: 1 sample to 64 samples Output voltage: -40 V to +40 V (in 1 V increments), output resistance 2.7 Kohms Resistance Measurement: ~1 Kohms to 40 Tohms (e.g 40 V source, 1 pA measure) Accuracy: >±0.5% 1 Mohm to 1 Tohm Powered via USB 2.0 (instrument uses up to 0.3 A when in-use) Included 1x SPA100 Source Picoammeter 1x USB cable Downloads Manual Software

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Temporary Delay in the Delivery of Unitree Robots Like many other suppliers, we are currently experiencing delays in the delivery of Unitree robots. A shipment from our supplier is currently held in customs, which has unfortunately led to later-than-planned deliveries for previously placed orders. We are actively working with our supplier to resolve this issue and expect more clarity soon, but at this time, we cannot provide any guarantees. Additionally, a new shipment is already on its way, though it will take some time to arrive. Since other suppliers are facing similar challenges, switching to a different provider is unlikely to result in a faster solution. Our top priority remains fulfilling existing orders. If you have any questions or would like to update your order, please do not hesitate to contact our customer service team. We will keep you informed of any further developments. Unitree Go2 series consists of quadruped robots for the research & development of autonomous systems in the fields of human-robot interaction (HRI), SLAM & transportation. Due to the four legs, as well as the 12DOF, this robot can handle a variety of different terrains. The Go2 comes with a perfected drive & power management system, which enables a speed (depending on the version) of up to 3.7 m/s or 11.88 km/h with an operating time of up to 4 hours. Furthermore, the motors have a torque of 45 N.m at the body/thighs and at the knees, which also allow jumps or backflips. Features Super Recognition System: 4D LIDAR L1 Max Running Speed: approx. 5 m/s Peak Joint Torque: approx. 45 N.m Wireless Module: WiFi 6/Bluetooth/4G Ultra-long battery Endurance: approx. 2-4 h (long battery life measured in real life) Intelligent Side-follow System: ISS 2.0 Specifications Tracking module: Remote-controlled or automatic tracking Front camera: Image tansmission Resolution 1280x720, FOV 120°, Ultra wide angle lens deliver rich clarity Front lamp: Brightly lights the way ahead 4D LiDAR L1: 360°x90° omnidirectional ultra-wide-angle scanning allows automatic avoidance with small blind spot and stable operation 12 knee joint motors: Strong and powerful, Beautiful and simple, Brandy new visual experience Intercom microphone: Effective communication with no scenario restrictions Self-retracting strap: Easy to carry and load things More stable, more powerful with advanced devices: 3D LiDAR, 4G ESIM Card, WiFi 6 with Dual-band, Bluetooth 5.2 for stable connection and remote control Powerful Computing Core: Motion controller, High-performance ARM processor, Improved Al algorithm processor, External ORIN NX/NANO Smart battery: Standard 8000 mAh battery, Long-endurance 15000 mAh battery, Protection from over-temp, overcharge and short-circuit Speaker for music play: Listen to music as your pleasure Unitree Go2 Variants The Go2 impresses not only with its technical capabilities, but also with a modern and slim design that gives it a futuristic look and makes it a real eye-catcher. The Go2 Air is specially designed for demos and presentations. With its basic features, it offers a solid basis for demonstrating the movement capabilities and functionality of a four-legged robot. Important: The Go2 Air is delivered without a controller. This can be purchased optionally. With a powerful 8-core high-performance CPU, the Pro and Edu offer impressive computing power required for complex tasks and demanding calculations. This enables faster and more efficient data processing and makes the Pro and Edu a reliable partner for your projects. From the Edu version onwards, the Go2 is programmable and opens up endless possibilities for developing and researching your own robotics applications. The Go2 is also able to handle a step height of up to 14 cm. This makes it an ideal tool for research, education and entry into the world of robotics. The Go2 Edu comes with a remote controller that gives you easy and intuitive control. You also get a docking station with impressive computing power of 100 TOPS, which is equipped with powerful AI algorithms and offers you technical support. Go2 Edu is equipped with a powerful 15000 mAh battery that gives it an impressive runtime of up to 4 hours. This long operating time allows the robot to carry out longer exploration missions and complete demanding tasks. Model Comparison Air Pro Edu/Edu Plus Dimensions (standing) 70 x 31 x 40 cm 70 x 31 x 40 cm 70 x 31 x 40 cm Dimensions (crouching) 76 x 31 x 20 cm 76 x 31 x 20 cm 76 x 31 x 20 cm Material Aluminium alloy + High strength engineering plastic Aluminium alloy + High strength engineering plastic Aluminium alloy + High strength engineering plastic Weight (with battery) about 15 kg about 15 kg about 15 kg Voltage 28~33.6 V 28~33.6 V 28~33.6 V Peaking capacity about 3000 W about 3000 W about 3000 W Payload ≈7 kg (MAX ~ 10 kg) ≈8 kg (MAX ~ 10 kg) ≈8 kg (MAX ~ 12 kg) Speed 0~2.5 m/s 0~3.5 m/s 0~3.7 m/s (MAX ~ 5 m/s) Max Climb Drop Height about 15 cm about 16 cm about 16 cm Max Climb Angle 30° 40° 40° Basic Computing Power N/A 8-core High-performance CPU 8-core High-performance CPU Aluminum knee joint motor 12 set 12 set 12 set Intra-joint circuit (knee) ✓ ✓ ✓ Joint Heat Pipe Cooler ✓ ✓ ✓ Range of Motion Body: −48~48° Body: −48~48° Body: −48~48° Thigh: −200°~90° Thigh: −200°~90° Thigh: −200°~90° Shank: −156°~−48° Shank: −156°~−48° Shank: −156°~−48° Max Torque N/A about 45 N.m about 45 N.m Super-wide-angle 3D LiDAR ✓ ✓ ✓ Wireless Vector Positioning Tracking Module N/A ✓ ✓ HD Wide-angle Camera ✓ ✓ ✓ Foot-end force sensor N/A N/A ✓ Basic Action ✓ ✓ ✓ Auto-scaling strap N/A ✓ N/A Upgraded Intelligent OTA ✓ ✓ ✓ RTT 2.0 Image Transmission ✓ ✓ ✓ App Basic Remote Control ✓ ✓ ✓ App Data Viewing ✓ ✓ ✓ App Graphical Programme ✓ ✓ ✓ Front Lamp (3 W) ✓ ✓ ✓ WiFi 6 with Dual-band ✓ ✓ ✓ Bluetooth 5.2/4.2/2.1 ✓ ✓ ✓ 4G Module N/A CN/GB CN/GB Voice Function N/A ✓ ✓ Music Playback N/A ✓ ✓ ISS 2.0 Intelligent side-follow system N/A ✓ ✓ Intelligent detection and avoidance ✓ ✓ ✓ Secondary development N/A N/A ✓ Manual controller Optional Optional ✓ High computing power module N/A N/A Edu: 40 TOPS computing power Edu Plus: 100 TOPS computing power NVIDIA Jetson Orin (optional) Smart Battery Standard (8000 mAh) Standard (8000 mAh) Long endurance (15000 mAh) Battery Life 1-2 h 1-2 h 2-4 h Charger Standard (33.6 V, 3.5 A) Standard (33.6 V, 3.5 A) Fast charge (33.6 V, 9 A) Included 1x Unitree Go2 Edu Plus 1x Unitree Go2 Remote Controller 1x Unitree Go2 Battery (15000 mAh) 1x Unitree Docking station with 100 TOPS computing power Downloads Documentation iOS/Android apps GitHub

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