Rohde & Schwarz announces on-wafer device characterization test solution

Rohde & Schwarz now offers a test solution for full RF performance characterization of the DUT on-wafer which combines the powerful R&S ZNA vector network analyzer from Rohde & Schwarz with industry-leading engineering probe systems from FormFactor. As a result, semiconductor manufacturers can perform reliable and repeatable on-wafer device characterization in the development phase, during product qualification, and in production.

5G RF front-end designers aim to ensure proper RF capabilities for frequency coverage and output power while optimizing energy efficiency. An important phase in this process is investigating the RF design, to get feedback on the design as early as possible and assess the performance and capabilities already on the wafer level. Characterizing a DUT in an on-wafer environment requires a measurement system that includes a vector network analyzer (VNA), a probe station, RF probes, cables or adapters, a dedicated calibration method as well as calibration substrates for the particular DUT or application.

To perform these essential measurements, Rohde & Schwarz is supplying the high-end R&S ZNA vector network analyzer, which characterizes all RF qualification parameters at coaxial and waveguide levels, as well as frequency extenders for application ranges above 67 GHz. FormFactor addresses the wafer contact with manual, semi-automated, and fully automated probe systems including thermal control, high-frequency probes, probe positioners, and calibration tools. The calibration of the complete test system, including the R&S ZNA, is fully supported in the FormFactor WinCal XE calibration software.

In the test setup, the user has access to all test capabilities of the R&S ZNA thanks to the fully calibrated setup. Generic S-parameter tests allow characterization for filters and active devices, but distortion, gain and intermodulation tests can also be performed to qualify power amplifiers. Frequency translating measurements for mixers with phase characterization across the bandwidth of the device are another example of the supported measurement applications of the joint solution. The fully calibrated setups also allow all results to be directly taken from the VNA without postprocessing as the calibration data are applied directly to the VNA. Frequency extenders from Rohde & Schwarz open up sub-THz frequencies such as D-band, currently the focus of 6G research. The extenders will be integrated into the probe station to ensure the shortest cabling and enable optimal dynamic range while avoiding losses due to cabling to the probe tip.

For further information about qualifying RF characteristics on wafer-level and how the solutions from FormFactor and Rohde & Schwarz work together, read the app card: https://www.rohde-schwarz.com/_56279-1241099.html

LILYGO 8-channel T-Relay board with Espressif ESP32-WROVER-E module

LILYGO T-Relay Board

As an upgraded version of LILYGO’s four-channel relay board, the company has announced a new 8-channel relay board with an onboard Espressif ESP32-WROVER-E module for wireless connectivity. LILYGO T-Relay board has a unique programming tool– T-U2T automatic downloader to upload the program– looks just like a dongle with a connector male to the board and a connector female to the USB Type-C cable. It is important to note that if you do not own a T-U2T dongle, then you would require one to upload the program to this 8-channel T-Relay board.

At the heart of the relay board is the ESP32-WROVER-E powerful microcontroller module supporting Wi-Fi and Bluetooth Low Energy wireless connectivity. Primarily designed for low-power sensor networks and also targets heavy workload tasks, such as voice encoding, music streaming, and MP3 decoding. The hardware comes with a PCB antenna featuring a 4MB SPI flash storage and an additional 8MB SPI Pseudo static RAM. There are two CPU processing cores that can be controlled independently and the CPU clock frequency is adjustable from 80MHz to 24MHz. The chip also has a low-power co-processor that can be used to replace the CPU to save power on light tasks that do not require heavy computing.

Specifications of LILYGO 8-channel T-Relay board:

  • Microcontroller board: Espressif ESP32-WROVER-E module with an ESP32-D0WD-V3 chip and has an adjustable CPU frequency from 80 MHz to 240 MHz
  • Wireless connectivity: Wi-Fi IEEE802.11b/g/n and Bluetooth LE v4.2
  • Relays: 8-relays through integrated HRS4H-DC5V relay and has 8 blue LED relay work indicators.
  • Expansion: 16 expansion GPIOs
  • USB ports: 1x USB Type-C for prog
  • Power supply: Operating at a power supply of 12V to 24V DC input
  • Dimensions: 17×8.5×1.8 cm

 

LILYGO T-Relay Board Specs
LILYGO T-Relay Board Specifications [Image Credit: Hackster News]
The T-U2T dongle tool is required to upload the program which connects to the onboard USB Type-C port. Tx and Rx in the T-U2T are connected inside the dongle and the reference pictures have more information. For software support, the manufacturer has provided detailed documentation on using Arduino IDE and PlatformIO in the official GitHub repository.

Currently unavailable on the Tindie company page, the LILYGO 8-channel T-Relay board can be bought on AliExpress starting at $25.28 including shipping. Another option is to choose the four-relay board with an onboard ESP32 module, priced at $10.37.

Arduino announced two LoRa devices in collaboration with RAKwireless

Arduino WisGate Edge Pro

Arduino and RAKwireless have collaborated to announce the launch of two industrial-grade LoRa devices– WisGate Edge Lite 2 and WisGate Edge Pro. RAKwireless WisGate offers a cost-efficient solution and acts as an LPWAN base station with multiple backhaul connectivity options. The user-friendly WisGateOS2 software also makes it one of the most popular LoRaWAN gateways available on the market.

Arduino WisGate Edge Pro provides high transmission power and two fibreglass antennas with 5dBi gain making it an ideal solution for outdoor deployments. The hardware platform supports a dual LoRaWAN concentrator to provide secure and reliable connectivity. It also includes an on-pole and DIN-rail installation kit.

“To execute Arduino Pro’s vision, it was crucial to add a strong LoRaWAN gateway offering,” said Massimo Banzi, co-founder of Arduino. “We are thrilled to have found a perfect fit in RAKwireless WisGate Edge products. We look forward to delivering compelling solutions to our customers.”

Arduino WisGate Edge Lite 2 offers coverage for indoor applications featuring an enclosed design with efficient cooling and an optional DIN rail mounting. Gateways offer high performance, leveraging a user-friendly design approach, detailed tutorials and technical documentation. The hardware provides the flexibility for implementing private networks directly connecting to the cloud platform and is also compatible with public networks.

WisGate Features

  • Secure Ethernet, Wi-Fi or LTE connectivity
  • High transmission power and dual fiberglass antennas with 5dBi gain (WisGate Edge Pro only)
  • Choose the coverage you need: WisGate Edge Lite 2 for deep coverage in multi-story buildings, or WisGate Edge Pro for IoT commercial outdoor deployment
  • Rapid setup and diagnostics, backup and data logging thanks to an SD card slot
  • WisGateOS, powered by RAKwireless™, based on the fully customizable, open-source OpenWRT
  • Ideal for implementing private networks directly connected to cloud platforms; compatible with public networks
  • Limited cabling for installation thanks to POE (Power Over Ethernet)
  • Comprehensive technical documentation by RAKwireless™
  • Easy installation: WisGate Edge Lite 2 comes with an enclosure designed for efficient cooling and optional DIN rail mounting; WisGate Edge Pro includes an on-pole and DIN-rail installation kit

On the software side, the gateways support RAKwireless WisGateOS, based on fully customizable open-source OpenWRT. As a unified operating system for WisGate Edge gateways, RAKwireless aims to replace the different firmware available in the market.

“At RAKwireless we have spent the last 8 years developing best-in-class hardware and software for the LoRaWAN ecosystem,” added Ken Yu, CEO of RAKwireless. “We are very proud to see our gateways, both indoors and outdoors, selected to join the Arduino Pro lineup. Together we will help our customers build and expand LoRaWAN infrastructures with reliable equipment.”

At the LoRa Alliance World Expo, Arduino and RAKwireless demonstrated the LoRa gateways at the RAKwireless Booth 36A. The product pages are still not up and running on the Ardunio e-commerce store, but the company has offered interested folks to contact them directly at the Arduino Pro custom support.

Pimoroni Inventor 2040 W hits the market to support the RPi Pico W community

Pimoroni Inventor 2040 W

Raspberry Pi Pico W has started to gain attention from other manufacturers to support the growing Raspberry Pi Pico community. One such example is the Pimoroni Inventor 2040 W, a battery-powered board that features support for up to six servos, a little speaker, and also comes with a battery connector. This carrier board fits the Raspberry Pi Pico W development board with a detailed look at the various functionalities which are evidently visible.

If you are looking to interface your favorite sensors to get more functionalities on the tiny form factor Raspberry Pi Pico W, the Pimoroni Inventor 2040 W looks like the ideal carrier board currently available on the market. Pimoroni Inventor 2040 W gets two JST-SH connectors for attaching motors, and a 2-pin JST-PH connector for attaching battery of input voltage 2.5V and 5.5V.

Specifications of Pimoroni Inventor 2040 W:

  • Compatible MCU: Raspberry Pi Pico W microcontroller board with dual-core Arm Cortex-M0+ processor core running at a clock speed of up to 133MHz and integrated 264kB SRAM
  • Connector: 6-pin 2 JST-SH connector for attaching motors, 2-pin Picoblade compatible connector for attaching speaker, and 2-pin JST-PH connector for attaching a battery
  • Header pins: 6 sets of header pins for connecting 3-pin servos and 6 sets of header pins for GPIO
  • LEDs: 12x addressable RGB LEDs and Neopixels
  • Buttons: User and Reset button
  • Interfaces: 2x Qwiic and STEMMA QT connectors for attaching breakouts
  • Software support: C/C++ and MicroPython libraries

Pimoroni Inventor 2040 W Board

On the software support, the manufacturer has provided C/C++ and MicroPython libraries through a GitHub repository to provide an easy way to interface with the functions of the board. Pimoroni has also provided a detailed guide to get started with motor functions, servo functions, and also MicroPython and C++ examples.

One of the reasons to purchase this Pimoroni Inventor 2040 W carrier board is to build a wireless robot that can be remotely controlled using Wi-Fi support on the Raspberry Pi Pico W microcontroller board. With the support of attaching motors through 2 JST-SH connectors, the user can build a remote-controlled car as well.

Pimoroni Inventor 2040 W carrier board is currently on sale for £34.50 on the official product page with worldwide shipping.

Cerebra establishes a new benchmark for training largest AI models on a single processor

Cerebras Systems

Cerebras Systems recently announced a milestone of training multibillion-parameter Natural Language Processing (NLP) models, including GPT-3XL 1.3 billion models, GPT-J 6B, GPT-3 13B, and GPT-NeoX 20B, on a single CS-2 system. According to the claims made by Cerebras Systems, a single CS-2 system with a single Cerebras wafer can now train models with up to 20 billion parameters, a feat that has never been accomplished on a single device. A CS-2 machine, around 26 inches tall, may be placed into a typical data center rack.

In NLP, generally larger models trained on a larger amount of data are found to be more accurate. The conventional method of training a large NLP model involved splitting up the model onto a number of GPUs. Cerebras decreases the system-engineering time required to run big NLP models from months to minutes by allowing a single CS-2 to train these models. Additionally, it eliminates one of the most obnoxious NLP features—partitioning the model among thousands or hundreds of tiny graphics processing units (GPUs).

Cerebras Systems

As quoted by Kim Branson, SVP of Artificial Intelligence and Machine Learning at GSK,

“GSK generates extremely large datasets through its genomic and genetic research, and these datasets require new equipment to conduct machine learning. The Cerebras CS-2 is a critical component that allows GSK to train language models using biological datasets at a scale and size previously unattainable. These foundational models form the basis of many of our AI systems and play a vital role in the discovery of transformational medicines.”

The scale and computing power of the Cerebras Wafer Scale Engine-2 (WSE-2) and the Weight Streaming software architectural upgrades made accessible by the introduction of version R1.4 of the Cerebras Software Platform combined to achieve this engineering feat in the field of Artificial Intelligence. Cerebras’ WSE-2 has 2.55 trillion more transistors and has 100 times as many compute cores as the largest GPU, making it the largest processor ever built. Even the biggest neural networks can fit on the WSE-2 due to their size and computing power. Memory and computation are separated by the Cerebras Weight Streaming architecture, allowing memory (which is used to store parameters) to expand independently of computing. So a single CS-2 may handle models with trillions of parameters.

Meet SmartBond DA1470x Family of Bluetooth Low Energy ― the World’s Most Integrated SoC for Wireless Connectivity

Renesas Electronics Corporation, a leading global provider of microcontrollers, has combined its expertise in embedded processing, analog, power, and connectivity, to build the world’s most advanced integrated System-on-Chip family for wireless connectivity.

The SmartBond™ DA1470x Family of Bluetooth® low energy (LE) solutions is an advanced chip that enables small form factor IoT product designs. With its small form factor, integrated with 2D graphics processors, voice activity detector, power management, and Bluetooth LE connectivity, the new family of SoCs provides smart IoT devices with the most advanced sensor and graphical capabilities as well as seamless, ultra-low power always-on audio processing.

“The DA1470x family expands on our successful strategy of integrating more functions, including greater processing power, expanded memory and improved power modules, along with VAD for the always-on wake and command word detection,” said Sean McGrath, Vice President of the Connectivity and Audio Business Sector. “This feature-packed SoC product family enables developers to push the boundaries of connected consumer and industrial applications and future-proof their IoT products to fit the needs of multiple applications, while optimizing their bill of materials.”

With the chip, engineers can have: 

  • Significant cost savings on the Bill of materials thus allowing for cost-effective solutions
  • A reduction in component count on the PCB enables small form factor designs
  • More space for additional components or larger batteries
  • Improved reliability of the system, and eventually,
  • A reduction in the total cost of goods sold of the end product.

The DA1470x family of SoCs is suitable for a number of devices including: 

  • consumer medical devices
  • industrial automation and security systems
  • wearables like smartwatches and fitness trackers
  • home appliances with display
  • glucose monitor readers
  • Bluetooth consoles like e-bikes and gaming equipment

Features and Specifications of the DA1470x Wireless System-on-Chip Include:

  • Arm® Cortex®-M33 processor (main application core) and Cortex -M0+ (sensor node controller).
  • Integrated 2D GPU & Display controller supporting DPI, JDI parallel, DBI and Single, Dual or Quad SPI interfaces.
  • Integrated low quiescent current SIMO DC/DC converter of the PMU efficiently supplies internal system and external components
  • Ultra-low power hardware VAD enables seamless and always-on audio processing
  • Configurable MAC supporting Bluetooth Low Energy 5.2 and proprietary 2.4 GHz protocols.
  • Integrated 720mA JEITA-compliant USB charger supports rechargeable Li-ion/Li-Po batteries.

The four devices that constitute the DA1470x SoC family are already in mass production and readily available. More useful details about the devices, including links to some of the winning combinations the company made with the chipset, can be found on the product page.

ROMA Linux Laptop to Include Forthcoming Quad-core RISC-V Processor, Web3 Integration, NFT, and MetaMask Style Wallet

RISC-V International has given a tip into the release of what we can call the Industry’s first development laptop expected to feature the forthcoming quad-core RISC-V SoC for the fastest, most seamless RISC-V software development experience ever – the ROMA Linux laptop.

“The ROMA platform will benefit developers who want to test their software running natively on RISC-V. And it should be easy to transfer code developed on this platform to embedded systems,” said Mark Himelstein, Chief Technology Officer for RISC-V International. The laptop will also create a more integrated experience with future AR glasses and AI speakers operating entirely on RISC-V software. No doubt, the addition of the native RISC-V processor is a huge milestone in this project.

The Roma Linux laptop will also feature a Web3-friendly platform with NFT and integrated MetaMask-style wallet. Others include a quad core RISC-V CPU with free SoC and SoM upgrades, GPU for graphics and NPU for AI, Up to 16GB LPDDR4/DDR4X RAM, Up to 256GB eMMC flash, Arm SC300 security enclave processor, Keyboard, Display and Touchpad.

The highly integrated laptop is the result of the synergy between DeepComputing and Xcalibyte. The former focused on the engineering aspect while the latter took care of system tuning. Other companies contributing one way or the other in the development of the laptop are: PW for assembly, ECP for security, XC for crypto, Rexeen for voice, and LatticeX Foundation for PoS blockchain, and NFT.

“With built-in POS, NFT, and MetaMask-style wallet, ROMA is born for the Metaverse. It is a laptop for the future. We will spare no effort to provide the best RISC-V native development experience for developers,” said CEO of Xcalibyte and DeepComputing, Yuning Liang.

The duo already opened preorders for the hotly anticipated native RISC-V development laptop. We learned that the laptop will only come in limited quantity at launch, so it’s better to be amongst the fastest fingers to place an order if you are interested. If you are amongst the first 100 to preorder for it, you will be given a unique NFT as well as the option of engraving your name or company’s name on it. It is however important to note that preordering for this laptop goes beyond just filling out a form. You will be required to use either a company’s email address or one with your own domain name.

What’s more? The laptop will come with support for most variants of Linux OS alongside a MetaMask style wallet. Users can also get early access to the next-generation laptops and accessory upgrades for a great discount or for free.

The laptop is not only aimed at developers who want to build and test software on a native RISC-V computer; it is surely a good lead for future laptops and devices that can help the general public. The laptop is scheduled to start shipping towards the end of this year. Other useful details on the ROMA Linux laptop can also be found on RISC-V International which also gave support for its development.

Meet the First High-Resolution Module for 3D Depth Sensing and Vision Systems

Analog Devices has unveiled a robust high resolution, indirect Time-of-Flight (iToF) module for 3D depth sensing and vision systems — the first ever in the industry.

“Machine vision needs to make the leap to perceiving smaller, more subtle objects faster in industrial environments that often include harsh conditions and multiple stimuli,” said Tony Zarola, the company’s senior director for ToF. “The ADTF3175’s unmatched resolution and accuracy allows vision and sensing systems – including industrial robots – to take on more precision-oriented tasks by enabling them to better understand the space they’re operating in and ultimately improve productivity. Bringing this to market helps bridge a major gap and accelerates deployment of the next generation of automation solutions and critical logistics systems.”

The module is designed to help accelerate time to market with its scalable, fully engineered and calibrated depth system that can be integrated into 3D sensing and vision systems. This means that there would not be any need to design specialized optics or deal with challenges that come with electromechanical integration. The module can also do well in a range of environmental settings. It leverages Lumentum Operations’ VCSEL (vertical-cavity surface-emitting laser) technology to enable sensing in a wide range of lighting conditions. It also comes pre-programmed with operating modes that cover both long and short ranges.

Key Features and Specifications Include: 

  • 1024 × 1024 ToF imager with 3.5 μm × 3.5 μm pixels
  • 75 × 75 degrees FOV
  • Imager lens subassembly with 940nm optical band-pass filter
  • Illumination subassembly with eye safety support
  • 4-lane MIPI CSI-2 Tx interface (1.5 Gbps per lane)
  • 4-wire SPI and 2-wire I2C serial interfaces for programming and operation control
  • NVM (Flash) for module boot-up sequence
  • Power regulators for local imager and illumination rails
  • Calibrated modes at 1024 × 1024 and 512 × 512 resolutions
  • 0.4m to 4m depth range
  • ± 3 mm depth accuracy
  • Dimensions: 42mm x 31mm x 15.1mm

The high-resolution module is suitable for machine learning applications ranging from industrial automation to logistics, healthcare and augmented reality. It offers a highly accurate +/-3mm iToF technology, enabling cameras and sensors to perceive 3D space in one megapixel resolution. Markets and Technology where it can be used include:

  • Design of industrial robots
  • Home theatre and gaming
  • Building safety and security solutions
  • Electronic test and measurement
  • Precision measurements
  • Disease management and wellness
  • Life science and medical instrumentation
  • Activity tracking and fall detection, etc.

The ADTF3175 module will be sold at $197 for 1000 units. Coming along with it is an open-source reference design for implementing the full system as well as access to the company’s sophisticated depth processing capabilities. Other useful details on the module can be found on the company’s website.

Innoscience : We’ve Got GaN

GaN power switching technology has been around for many years. By now, many design engineers are familiar with the technology and have redesigned their products to take advantage of GaN power devices’ key features such as fast switching, zero reverse recovery current, etc… By using GaN power devices engineers can create products that are much more efficient and smaller than what is possible with traditional Silicon technology.

With increased market demand, there is a need to provide high-volume GaN manufacturing to lower the price of GaN devices and provide security of supply. Innoscience has been addressing these matters from Day 1, and the company is stimulating GaN adoption by offering GaN in mass production at a competitive price. This means anyone can now benefit from GaN technology without paying a significant premium.

Innoscience is leading the way for GaN technology. We are the world’s largest Integrated Device Manufacturer (IDM) entirely focused on GaN technology, with 1400 engineers (300 dedicated to R&D) who are entirely committed to manufacturing the best and most reliable GaN technology, using our own fabs that are fully dedicated to the production of 8-inch GaN-on-Si power devices.

We already provide 10,000 wafers per month. This will ramp up to 14,000 8-inch wafers per month later this year, and 70,000 wafers per month by 2025.

In short: we’ve got GaN devices from 30V to 150V and up to 650V, and we’ve got lots of them.

Innoscience delivers high-performance and high-reliability GaN power devices that can be used in the most diverse applications. These include cloud computing, electric vehicles (EV) and automotive, portable devices, mobile phones, chargers and adapters.

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