“With the introduction of Drive Core, we are accelerating and simplifying our customers’ software development while reducing their commercial complexity in supplier management,” said Patrick Will, Senior Director at Infineon. “Drive Core offers a seamless user experience throughout the R&D journey by pre-integrating our partners’ and our own software components and toolchains, thereby minimizing migration efforts with a single click.”

Infineon launches the first five software bundles for Embedded World 2025, spanning across AURIX, TRAVEO T2G and PSOC 4 HV. They are available under a three-month evaluation license:

AURIX Drive Core AI: TC4x PPU model-based development

The AURIX Drive Core AI bundle integrates third-party tools and software components, enabling developers to efficiently evaluate the TC4x Parallel Processing Unit (PPU) – a high-performance computing platform tailored to the requirements of e-mobility and autonomous driving. The solution ensures an easy and fast setup of the model-based design flow with MATLAB Simulink and the AURIX Hardware support package.

Besides the required compiler tools, compute and neural network libraries, the bundle also contains ready to use Simulink examples and a comprehensive tutorial.

Developed in collaboration with Infineon’s ecosystem partners, including HighTec, MathWorks and Synopsys, the bundle offers powerful simulation and design capabilities with the PPU for automotive engineers.

AURIX Drive Core AUTOSAR: TC4x with Vector MICROSAR and Tasking compiler

The AURIX Drive Core AUTOSAR software bundle is designed to streamline AUTOSAR-based projects for different kinds of safety applications, such as ADAS or zone controllers. The embedded software components include Infineon’s MCAL driver and MICROSAR Classic, a pre-integrated real-time capable base software stack from Vector. Tasking provides their latest certified development toolchain for TC4x.

AURIX Drive Core for NeuSAR: TC4x with NeuSAR cCore from our development partner Neusoft Reach

The AURIX Drive Core NEUSAR bundle, which is targeting the Chinese automotive market, comes with all required tools and software to develop a full AUTOSAR classic solution with TC4x. It includes NeuSAR cCore 4.0, an AUTOSAR software platform according to R21-11, including a full-stack security solution and a bootloader – certified according to ISO 21434 ASIL-D. The software platform is pre-integrated with Infineon’s AUTOSAR MCAL drivers and C/C++ compiler tools from HighTec. Developers can immediately start their work with different example projects. A comprehensive documentation in Chinese and English addresses local requirements.

TRAVEO T2G Drive Core Graphics: Graphics Driver and QT graphics stack

The TRAVEO T2G Drive Core Graphics bundle allows customer to evaluate the TRAVEO T2G for cockpit applications. It provides a hardware abstraction layer and graphics drivers from Infineon, an IAR compiler and is enhanced through advanced graphics capabilities and AUTOSAR readiness of Qt for MCUs graphics stack. Furthermore, the bundle includes the TRAVEO T2G, Infineon’s MCAL and QT’s graphics.

PSOC 4 HV Drive Core Control: APDL with Vector OS

Infineon introduces a bundle with Vector’s product MICROSAR IO, used as the basic software. MICROSAR IO is a lightweight, secured and efficient base layer for small mechatronic electronic control units in automotive applications. Designed for automotive subsystems such as battery management, parking sensors and HVAC systems, MICROSAR IO emphasizes cost efficiency, reusability and OEM independence. In combination with Infineon’s PSOC 4 HV microcontroller, the bundle provides a resource-efficient solution, reduces the overall system cost and ensures reliable functionality in mission-critical domains.

Availability

The described first software bundles will be presented at embedded world 25 in Nuremberg from March 11 to 13. Further information is available at www.infineon.com/drivecore.

Infineon at Embedded World

Embedded World will take place in Nuremberg, Germany from 11 to 13 March, 2025. Infineon will present its products and solutions for decarbonization and digitalization in hall 4A, booth #138 and virtually . For press inquiries please contact media.relations@infineon.com . Industry analysts interested in a briefing can email   MarketResearch.Relations@infineon.com. Information about the Embedded World show highlights is available at  www.infineon.com/embedded-world.

STM32CubeProgrammer 2.18 brings new features to improve our developers’ experience. For instance, as we close 2024, flashing and debugging STM32 microcontrollers is more straightforward and intuitive. For instance, the new software leverages STM32 security firmware update (root security system extension binaries), helps change multiple option bytes more efficiently through a synthetic view, and port user configuration settings more easily. It is, therefore, the most user-friendly version yet, as it aims to make development on STM32 feel less like work and more like flow.

What’s new in STM32CubeProgrammer 2.18?

New MCU Support

While nearly every version of STM32CubeProgrammer comes with new MCU support, 2.18 is particularly noteworthy for the number of added devices. Users can now work with the STM32WL3 announced just a few weeks ago, the STM32N6 launched a few days ago, the new STM32C0 devices with 64 KB and 256 KB of flash.

STM32CubeProgrammer also brings additional feature support for the STM32H7R3/7S3/7R7/7S7, all STM32 MPUs, and the STM32U5. For instance, the STM32H7R/S MCUs can now perform Secure Firmware Installation, while the STM32MP25 gets a GUI to manage PMIC registers and export settings to a binary file, which makes porting them to another project a breeze. And the STM32U5 can now restore its option byte configuration to factory settings if developers make an error that gets them stuck.

New improvements to the user experience

ST also continues to increase the number of supported features when using the SEGGER J-Link probe and flasher. In version 2.18, STM32CubeProgrammer adds the ability to securely install the Bluetooth stack on an STM32WB via a J-Link probe. Hence, developers can use their SEGGER tool for more use cases, making these features more widespread.

We are also introducing new improvements to the user experience, such as a project mode that allows users to save and restore configuration and connection settings, option byte values, firmware lists, external flash loaders, security firmware updates (root security system extension binaries), stack install settings for the STM32WB, and automatic mode parameters. In a nutshell, we want developers to collaborate more efficiently by importing and exporting major project elements so they can focus on their code rather than ticking boxes and applying the same settings repeatedly.

STM32CubeProgrammer 2.18 also adds a new synthetic option byte view to see and edit multiple option bytes on a single row instead of having to scroll through detailed lists. For expert users who know exactly what they want to do, this synthetic view makes changing an option byte a lot quicker. Finally, to facilitate updates to RSSe binaries, STM32HSM-V2 personalization files, and option bytes templates, these elements are now delivered separately in the X-CUBE-RSSe expansion package supported by both STM32CubeProgrammer and Trusted Package Creator tools. Consequently, these elements are no longer part of the lastest version of CubeProgrammer and should be downloaded separately.

What is STM32CubeProgrammer?

An STM32 flasher and debugger

At its core, STM32CubeProgrammer helps debug and flash STM32 microcontrollers. As a result, it includes features that optimize these two processes. For instance, version 2.6 introduced the ability to dump the entire register map and edit any register on the fly. Previously, changing a register’s value meant changing the source code, recompiling it, and flashing the firmware. Testing new parameters or determining if a value is causing a bug is much simpler today. Similarly, engineers can use STM32CubeProgrammer to flash all external memories simultaneously. Traditionally, flashing the external embedded storage and an SD card demanded developers launch each process separately. STM32CubeProgrammer can do it in one step.

Another challenge for developers is parsing the massive amount of information passing through STM32CubeProgrammer. Anyone who flashes firmware knows how difficult it is to track all logs. Hence, we brought custom traces that allow developers to assign a color to a particular function. It ensures developers can rapidly distinguish a specific output from the rest of the log. Debugging thus becomes a lot more straightforward and intuitive. Additionally, it can help developers coordinate their color scheme with STM32CubeIDE, another member of our unique ecosystem designed to empower creators.

What are some of its key features?

New MCU support

Most new versions of STM32CubeProgrammer support a slew of new MCUs. For instance, version 2.16 brought compatibility with the 256 KB version of the STM32U0s. The device was the new ultra-low power flagship model for entry-level applications thanks to a static power consumption of only 16 nA in standby. STM32CubeProgrammer 2.16 also brought support for the 512 KB version of the STM32H5, and the STM32H7R and STM32H7S, which come with less Flash so integrators that must use external memory anyway can reduce their costs. Put simply, ST strives to update STM32CubeProgrammer as rapidly as possible to ensure our community can take advantage of our newest platforms rapidly and efficiently.

SEGGER J-Link probe support

To help developers optimize workflow, we’ve worked with SEGGER to support the J-Link probe fully. This means that the hardware flasher has access to features that were previously only available on an ST-LINK module. For instance, the SEGGER system can program internal and external memory or tweak the read protection level (RDP). Furthermore, using the J-Link with STM32CubeProgrammer means developers can view and modify registers. And since version 2.17, we added the ability to generate serial numbers and automatically increment them within STM32CubeProgrammer, thus hastening the process of flashing multiple STM32s in one batch.

We know that many STM32 customers use the SEGGER probe because it enables them to work with more MCUs, it is fast, or they’ve adopted software by SEGGER. Hence, STM32CubeProgrammer made the J-Link vastly more useful, so developers can do more without leaving the ST software.

Exporting option bytes and editing memory fields

Other quality-of-life improvements aim to make STM32CubeProgrammer more intuitive. For instance, it is now possible to export an STM32’s option bytes. Very simply, they are a way to store configuration options, such as read-out protection levels, watchdog settings, power modes, and more. The MCU loads them early in the boot process, and they are stored in a specific part of the memory that’s only accessible by debugging tools or the bootloader. By offering the ability to export and import option bytes, STM32CubeProgrammer enables developers to configure MCUs much more easily. Similarly, version 2.17 can now edit memory fields in ASCII to make certain section a lot more readable.

Automating the installation of a Bluetooth LE stack

Until now, developers updating their Bluetooth LE wireless stack had to figure out the address of the first memory block to use, which varied based on the STM32WB and the type of stack used. For instance, installing the basic stack on the STM32WB5x would start at address 0x080D1000, whereas a full stack on the same device would start at 0x080C7000, and the same package starts at 0x0805A000 on the STM32WB3x with 512 KB of memory. Developers often had to find the start address in STM32CubeWB/Projects/STM32WB_Copro_Wireless_Binaries. The new version of STM32CubeProgrammer comes with an algorithm that determines the right start address based on the current wireless stack version, the device, and the stack to install.

A portal to security on STM32

Readers of the ST Blog know STM32CubeProgrammer as a central piece of the security solutions present in the STM32Cube Ecosystem. The utility comes with Trusted Package Creator, which enables developers to upload an OEM key to a hardware secure module and to encrypt their firmware using this same key. OEMs then use STM32CubeProgrammer to securely install the firmware onto the STM32 SFI microcontroller. Developers can even use an I2C or SPI interface, which gives them greater flexibility. Additionally, the STM32H735, STM32H7B, STM32L5, STM32U5, and STM32H5 also support external secure firmware install (SFIx), meaning that OEMs can flash the encrypted binary on memory modules outside the microcontroller.

Secure Manager

Secure Manager is officially supported since STM32CubeProgrammer 2.14 and STM32CubeMX 1.13. Currently, the feature is exclusive to our new high-performance MCU, the STM32H573, which supports a secure ST firmware installation (SSFI) without requiring a hardware secure module (HSM). In a nutshell, it provides a straightforward way to manage the entire security ecosystem on an STM32 MCU thanks to binaries, libraries, code implementations, documentation, and more. Consequently, developers enjoy turnkey solutions in STM32CubeMX while flashing and debugging them with STM32CubeProgrammer. It is thus an example of how STM32H5 hardware and Secure Manager software come together to create something greater than the sum of its parts.

Other security features for the STM32H5

STM32CubeProgrammer enables many other security features on the STM32H5. For instance, the MCU now supports secure firmware installation on internal memory (SFI) and an external memory module (SFIx), which allows OEMs to flash encrypted firmware with the help of a hardware secure module (HSM). Similarly, it supports certificate generation on the new MCU when using Trusted Package Creator and an HSM. Finally, the utility adds SFI and SFIx support on STM32U5s with 2 MB and 4 MB of flash.

Making SFI more accessible

Since version 2.11, STM32CubeProgrammer has received significant improvements to its secure firmware install (SFI) capabilities. For instance, in version 2.15, ST added support for the STM32WBA5. Additionally, we added a graphical user interface highlighting addresses and HSM information. The GUI for Trusted Package Creator also received a new layout under the SFI and SFIx tabs to expose the information needed when setting up a secure firmware install. The Trusted package creator also got a graphical representation of the various option bytes to facilitate their configuration.

Secure secret provisioning for STM32MPx

Since 2.12, STM32CubeProgrammer has a new graphical user interface to help developers set up parameters for the secure secret provisioning available on STM32MPx microprocessors. The mechanism has similarities with the secure firmware install available on STM32 microcontrollers. It uses a hardware secure module to store encryption keys and uses secure communication between the flasher and the device. However, the nature of a microprocessor means more parameters to configure. STM32CubeProgrammers’ GUI now exposes those settings previously available in the CLI version of the utility to expedite workflows.

Double authentication

Since version 2.9, the STM32CubeProgrammer supports a double authentication system when provisioning encryption keys via JTAG or a Boot Loader for the Bluetooth stack on the STM32WB. Put simply, the feature enables makers to protect their Bluetooth stack against updates from end-users. Indeed, developers can update the Bluetooth stack with ST’s secure firmware if they know what they are doing. However, a manufacturer may offer a particular environment and, therefore, may wish to protect it. As a result, the double authentication system prevents access to the update mechanism by the end user. ST published the application note AN5185 to offer more details.

PKCS#11 support

Since version 2.9, STM32CubeProgrammer supports PKCS#11 when encrypting firmware for the STM32MP1. The Public-Key Cryptography Standards (PKCS) 11, also called Cryptoki, is a standard that governs cryptographic processes at a low level. It is gaining popularity as APIs help embedded system developers exploit its mechanisms. On an STM32MP1, PKCS#11 allows engineers to segregate the storage of the private key and the encryption process for the secure secret provisioning (SSP).

SSP is the equivalent of a Secure Firmware Install for MPUs. Before sending their code to OEMs, developers encrypt their firmware with a private-public key system with STM32CubeProgrammer. The IP is thus unreadable by third parties. During assembly, OEMs use the provided hardware secure module (HSM) containing a protected encryption key to load the firmware that the MPU will decrypt internally. However, until now, developers encrypting the MPU’s code had access to the private key. The problem is that some organizations must limit access to such critical information. Thanks to the new STM32CubeProgrammer and PKCS#11, the private key remains hidden in an HSM, even during the encryption process by the developers.

Supporting new STM32 MCUs

STM32C0, STM32MP25, and STM32WB05/6/7

Since version 2.17, STM32CubeProgrammer supports STM32C0s with 128 KB of flash. It also recognizes the STM32MP25, which includes a 1.35-TOPS NPU, and all the STM32WB0s, including the STM32WB05, STM32WB05xN, STM32WB06, and STM32WB07. In the latter case, we brought support only a few weeks after their launch, thus showing that STM32CubeProgrammer keeps up with the latest releases to ensure developers can flash and debug their code on the newest STM32s as soon as possible.

Access to the STM32MP13’s bare metal

Microcontrollers demand real-time operating systems because of their limited resources, and event-driven paradigms often require a high level of determinism when executing tasks. Conversely, microprocessors have a lot more resources and can manage parallel tasks better, so they use a multitasking operating system, like OpenSTLinux, our Embedded Linux distribution. However, many customers familiar with the STM32 MCU world have been asking for a way to run an RTOS on our MPUs as an alternative. In a nutshell, they want to enjoy the familiar ecosystem of an RTOS and the optimizations that come from running bare metal code while enjoying the resources of a microprocessor.

Consequently, we are releasing today STM32CubeMP13, which comes with the tools to run a real-time operating system on our MPU. We go into more detail about what’s in the package in our STM32MP13 blog post. Additionally, to make this initiative possible, ST updated its STM32Cube utilities, such as STM32CubeProgrammer. For instance, we had to ensure that developers could flash the NOR memory. Similarly, STM32CubeProgrammer enables the use of an RTOS on the STM32MP13 by supporting a one-time programmable (OTP) partition.

Traditionally, MPUs can use a bootloader, like U-Boot, to load the Linux kernel securely and efficiently. It thus serves as the ultimate first step in the boot process, which starts by reading the OTP partition. Hence, as developers move from a multitasking OS to an RTOS, it was essential that STM32CubeProgrammer enable them to program the OTP partition to ensure that they could load their operating system. The new STM32CubeProgrammer version also demonstrates how the ST ecosystem works together to release new features.

STM32WB and STM32WBA support

Since version 2.12, STM32CubeProgrammer has brought numerous improvements to the STM32WB series, which is increasingly popular in machine learning applications, as we saw at electronica 2022. Specifically, the ST software brings new graphical tools and an updated wireless stack to assist developers. For instance, the tool has more explicit guidelines when encountering errors, such as when developers try to update a wireless stack with the anti-rollback activated but forget to load the previous stack. Similarly, new messages will ensure users know if a stack version is incompatible with a firmware update. Finally, STM32CubeProgrammer provides new links to download STM32WB patches and get new tips and tricks so developers don’t have to hunt for them.

Similarly, STM32CubeProgrammer supports the new STM32WBA, the first wireless Cortex-M33. Made official a few months ago, the MCU opens the way for a Bluetooth Low Energy 5.3 and SESIP Level 3 certification. The MCU also has a more powerful RF that can reach up to +10 dBm output power to create a more robust signal.

STM32H5 and STM32U5

The support for STM32H5 began with STM32CubeProgrammer 2.13, which added compatibility with MCUs, including anything from 128 KB up to 2 MB of flash. Initially, the utility brought security features like debug authentication and authentication key provisioning, which are critical when using the new life management system. The utility also supported key and certificate generation, firmware encryption, and signature. Over time, ST added support for the new STM32U535 and STM32U545 with 512 KB and 4 MB of flash. The MCUs benefit from RDP regression with a password to facilitate developments and SFI secure programming.

Additionally, STM32CubeProgrammer includes an interface for read-out protection (RDP) regression with a password for STM32U5xx. Developers can define a password and move from level 2, which turns off all debug features, to level 1, which protects the flash against certain reading or dumping operations, or to level 0, which has no protections. It will thus make prototyping vastly simpler.

STLINK-V3PWR

In many instances, developers use an STLINK probe with STM32CubeProgrammer to flash or debug their device. Hence, we quickly added support for our latest STLINK-PWR probe, the most extensive source measurement unit and programmer/debugger for STM32 devices. If users want to see energy profiles and visualize the current draw, they must use STM32CubeMonitor-Power. However, STM32CubeProgrammer will serve as an interface for all debug features. It can also work with all the probe’s interfaces, such as SPI, UART, I2C, and CAN.

Script mode

The software includes a command-line interface (CLI) to enable the creation of scripts. Since the script manager is part of the application, it doesn’t depend on the operating system or its shell environment. As a result, scripts are highly sharable. Another advantage is that the script manager can maintain connections to the target. Consequently, STM32CubeProgrammer CLI can keep a connection live throughout a session without reconnecting after every command. It can also handle local variables and even supports arithmetic or logic operations on these variables. Developers can thus create powerful macros to automate complex processes. To make STM32CubeProgrammer CLI even more powerful, the script manager also supports loops and conditional statements.

A unifying experience

STM32CubeProgrammer aims to unify the user experience. ST brought all the features of utilities like the ST-LINK Utility, DFUs, and others to STM32CubeProgrammer, which became a one-stop shop for developers working on embedded systems. We also designed it to work on all major operating systems and even embedded OpenJDK8-Liberica to facilitate its installation. Consequently, users do not need to install Java themselves and struggle with compatibility issues before experiencing STM32CubeProgrammer.

Qt 6 support

Since STM32CubeProgrammer 2.16, the ST utility uses Qt 6, the framework’s latest version. Consequently, STM32CubeProgrammer no longer runs on Windows 7 and Ubuntu 18.04. However, Qt 6 patches security vulnerabilities, brings bug fixes, and comes with significant quality-of-life improvements.

As a melting pot of culture, education, and technology, Pune represents the ideal locale for Elfonze’ s expansion, mirroring the company’s ethos of diversity, learning, and innovation. Celebrating an impressive trajectory of 400% growth and over 50 global clients, Elfonze is poised to leverage Pune’s dynamic talent pool to scale new heights in technology solutions.

The Pune centre will not only enhance Elfonze’ s service capabilities but will also serve as an incubator for cutting-edge research and development. It’s a hub where traditional wisdom coalesces with futuristic innovation, enabling Elfonze to offer comprehensive IT services, Consulting, and turnkey projects with a focus on Oracle Suite and digital technologies.

Marking this landmark occasion, Elfonze Technologies will host a pioneering job fair on November 26th and 27th, specifically targeting the vibrant pool of IT and electronics professionals in Pune. This initiative reaffirms Elfonze’ s dedication to fostering local talent and contributing to the city’s reputation as a cradle of technological advancement.

Elfonze Technologies invites aspirants to join its growing family that now boasts a robust network of over 200 employees and extensive institutional and channel partnerships. The Pune centre promises to be a bastion of creativity, collaboration, and tech-driven progress.

Embrace the opportunity to be part of a globally recognized leader right in your city. Be at the forefront of innovation with Elfonze Technologies, where the future is not just imagined but engineered.

STM32Cube.AI v7.2, released recently, brings support for deeply quantized neural networks, thus enabling more accurate machine learning applications on existing microcontrollers. Launched in 2019, STM32Cube.AI converts neural networks into optimized code for STM32 MCUs. The solution relies on STM32CubeMX, which assists developers in initializing STM32 devices. STM32Cube.AI also uses X-CUBE-AI, a software package containing libraries to convert pre-trained neural networks. Developers can use our Getting Started Guide to start working with X-CUBE-AI from within STM32CubeMX and try the new feature. The added support for deeply quantized neural networks already found its way into a people-counting application created with Schneider Electric.

STM32Cube.AI: From Research to Real-World Software

What Is a Neural Network?

In its simplest form, a neural network is simply a series of layers. There’s an input layer, an output layer, and one or more hidden layers in between the two. Hence, deep learning refers to a neural network with more than three layers, the word “deep” pointing to multiple intermediate layers. Each layer contains nodes, and each node is interconnected with one or more nodes in the lower layer. Hence, in a nutshell, information enters the neural by the input layer, travels through the hidden layers, and comes out of one of the output nodes.

What Are a Quantized Neural Network and a Binarized Neural Network?

To determine how information travels through the network, developers use weights and biases, parameters inside a node that will influence the data as it moves through the network. Weights are coefficients. The more intricate the weight, the more accurate a network but the more computationally intensive it becomes. Each node also uses an activation function to determine how to transform the input value. Hence, to improve performance, developers can use quantized neural networks, which use lower precision weights. The most efficient quantized neural network would be a binarized neural network (BNN), which only uses two values as weight and activation: +1 and -1. As a result, a BNN demands very little computational power but is also the least accurate.

Why Deeply Quantized Neural Networks Matter?

The industry’s challenge was to find a way to simplify neural networks to run inference operations on microcontrollers without sacrificing accuracy to the point of making the network useless. To solve this, researchers from ST and the University of Salerno in Italy worked on deeply quantized neural networks. DQNNs only use small weights (from 1 bit to 8 bits) and can contain hybrid structures with only some binarized layers while others use a higher bit-width floating-point quantizer. The research paper1 by ST and the university researchers showed which hybrid structure could offer the best result while achieving the lowest RAM and ROM footprint.

The new version of STM32Cube.AI is a direct result of those research efforts. Indeed, version 7.2 supports deeply quantized neural networks to benefit from the efficiency of binarized layers without destroying accuracy. Developers can use frameworks from QKeras or Larq, among others, to pre-train their network before processing it through X-CUBE-AI. Moving to a DQNN will help save memory usage, thus enabling engineers to choose more cost-effective devices or use one microcontroller for the entire system instead of multiple components. STM32Cube.AI thus continues to bring more powerful inference capabilities to edge computing platforms.

From a Demo Application to Market Trends

How Makes a People Counting Demo?

ST and Schneider Electric collaborated on a recent people counting application that took advantage of a DQNN. The system ran inference on an STM32H7 by processing thermal sensor images to determine if people crossed an imaginary line and in which direction to decide if they were entering or leaving. The choice of components is remarkable because it promoted a relatively low bill of material. Instead of moving to a more expensive processor, Schneider used a deeply quantized neural network to significantly reduce its memory and CPU usage, thus shrinking the application’s footprint and opening the door to a more cost-effective solution. Both companies showcased the demo during the TinyML conference last March 2022.

How to Overcome the Hype of Machine Learning at the Edge?

ST was the first MCU manufacturer to provide a solution like STM32Cube.AI, and our tool’s performance continues to rank high, according to MLCommons benchmarks. As this latest journey from an academic paper to a software release shows, the reason behind our performance is that we prioritize meaningful research that impacts real-world applications. It’s about making AI practical and accessible instead of a buzzword. Market analysts from Gartner2 anticipate that companies working on Embedded AI will soon be going through a “trough of disillusionment.” Today’s announcement and the demo application with Schneider show that by being first and driven by research, ST overcame this slope by being at the center of practical applications and thoughtful optimizations.

Click Link: https://blog.st.com/stm32cubeai-v72/

Jul 11, 2022 – STMicroelectronics has extended support for Microsoft® Azure RTOS in the STM32Cube development environment, covering additional high performance, mainstream, ultra-low-power and wireless microcontrollers (MCUs) from the STM32 family.

Users can leverage the qualities of Azure RTOS, the convenience of STM32Cube, and the flexibility of the STM32 family to optimize MCU properties now choosing from over 700 MCUs in the STM32 Arm® Cortex®-M portfolio With this extension, there are dedicated software packages for mainstream STM32G0, ultra-low-power STM32L4, STM32L4+, STM32L5 and STM32U5, high-performance STM32G4, STM32F4, STM32F7 and STM32H7, and wireless STM32WL and STM32WB MCUs.

STM32Cube simplifies developing with Azure RTOS as a standalone package or as add-on configurable components. The Azure RTOS suite is fully supported in the STM32CubeIDE tool and the STM32CubeMX initializer, which can directly configure Azure RTOS components. ST has added free code examples that help accelerate development and includes several demonstration projects that are ready to run on STM32 Nucleo boards, Discovery kits, and evaluation boards. Code can be alternatively accessed on STMicroelectronics Github.

The Azure RTOS suite comprises a comprehensive and consistent middleware offer for embedded projects. It includes the ThreadX real-time operating system, which has a minimal memory footprint, and the FileX fault-tolerant FAT file system with LevelX wear leveling for NAND and NOR Flash memories. The suite also comes with NetX Duo industrial-grade TCP/IP stacks, and the USBX USB stack with host and device support.

Integrating Azure RTOS within STM32Cube simplifies the development of high-quality embedded projects that are robust, energy efficient, feature rich, and competitively priced. Support throughout the wider STM32 ecosystem helps quickly handle engineering challenges and includes the STM32 MCU WiKi and a dedicated Azure RTOS topic in the online ST-developer community.

For further information please visit www.st.com/stm32cube and www.st.com/content/st_com/en/campaigns/x-cube-azrtos-azure-rtos-stm32.html

You can also read our blogpost at https://blog.st.com/x-cube-azrtos

According to the State of the Network survey from VIAVI, NetOps and SecOps teams are managing the new work-from-anywhere paradigm and supporting a surge in unified communications, all while reckoning with a skills gap. The ApexNow application enables technicians with varied levels of training to quickly isolate issues by network, server, application or client domain, or by physical location. The VIAVI EUE Score is underpinned by a machine learning process providing insight into the root cause of a degradation to allow for an automated remediation process to be executed using the power of the ServiceNow Platform.

“Enterprises are grappling with increasing network complexity and security threats while facing a labor and skills gap. They need to equip their workforces with intuitive tools that will speed identification and resolution of issues from anywhere,” said Rohit Batra, head of telecommunications, media & technology product at ServiceNow. “The integration of the VIAVI EUE Score into the ServiceNow platform is a terrific example of such user friendliness and efficiency, enabling our joint customers to stay ahead of IT and service issues.”

“Over the last year, VIAVI and ServiceNow have collaborated to allow our customers to utilize our combined technologies and enhanced product capabilities in ways that are game-changing in day-to-day operations,” said Chris Labac, Vice President and General Manager, Network Performance and Threat Solutions, VIAVI. “The ApexNow App integration is one visible result of this, building on a significant partnership and a focus on bringing impactful innovations to our customers.”

However, building and maintaining this trust also means keeping and improving their records accurate and up to date at all times – something many companies struggle to do.

To maintain trust in the workplace, human resources (HR) departments are often tasked with developing comprehensive hiring processes and keeping up-to-date records on employees.

However, when it comes time to actually execute this function for their business, many companies find that they lack the right human resources information software to do so. This will lead businesses to success, growth & productivity since this form of technology enhances the management and treatment experience of employees and here are 7 ways how this can be done:

1. Save time and reduce risk

With one streamlined system for managing all of their company’s records, employers are able to save the significant amount of time they would have otherwise spent running back-and-forth between two or three separate systems.

Having such systems in place is essential when it comes to employee trust levels. As you can see here, 31% of UK employees aren’t sure or don’t trust the HR team to respect their confidentiality and privacy. 

Maintaining records in one place also reduces the risk of human error that comes with manually filling out forms.

Instead of worrying about whether or not they’ve filled out an application correctly, employees can trust that if their HR departments have good HR software, then everything is done right and is up to date. This ultimately takes a lot of pressure off of the shoulders of both managers and employees.

2. Save money

With an effective HR system in place, companies are also able to save money they would otherwise spend on something outside of work hours namely by reducing the number of time employees spend filling out redundant paper forms.

 From hiring to payroll, HR software is able to streamline processes that result in significant time and money savings for employers.

3. No inconsistencies

Having a central hub where all of the data is kept also means there are no more inconsistencies in how departments across an organisation manage their records.

When one department is manually managing its records and another has access to an entirely different system, mistakes happen.

Inconsistent data entry among those tasked with maintaining records can lead to errors in pay rates, which can ultimately boil down to the loss of significant amounts of money over time and create problems throughout the business as a whole.

4. Increased security

Keeping all data in one location also leads to increased security for an organisation’s records. This is because companies with decentralised or fragmented HR systems often store important storage locations (including physical hard drives) at many different physical locations, which can make it difficult to track and monitor those records.

5. Better insight

An authoritative HR software system is also able to provide managers with the insights they need in order to make more informed decisions as they arise. By having all of their records stored in one place (or as part of one system), managers are able to make informed choices based on comprehensive data.

6. Better decision-making

The improved insight that an authoritative HR system provides better decision-making in the long term. Having access to all of their records in one place gives managers the ability to more effectively build cohesive employee profiles, which enables them to track and monitor trends in hiring and employee retention.

7. Strength in numbers

By using an authoritative HR software system to manage all of their records, companies also avoid issues that often arise when each department has its own unique approach to handling employee information.

Final Words

Having a trusted HR system in place can also help employers establish trust with their employees. Companies are able to further establish an open line of communication with their workers, which is vital in the modern office setting.

Having access to all of their important records in one place ultimately creates a more positive work environment for everyone involved.

New Delhi, 25th August 2021 – Barco, a global leader in professional meeting room visualisation and collaboration technology, announced the launch of an updated service programme for partners and end users, reiterating the company’s commitment to superlative services and bright outcomes. The rebranded service framework and revised offerings ensure a clear, unified and strengthened service strategy that augments the Barco hardware and software portfolio and fosters enhanced business growth.

The recalibrated service framework focuses on three pillars – enable, protect and optimize – and is primed to deliver positive outcomes, from start to conclusion. The Enable offering serves a great Barco experience from the first moment, through risk-free installation and smooth first-time-right deployment. With expert support and fast resolution times, the Protect program, and its EssentialCare support packages for hardware and software, maximize the uptime and extend the lifetime of the Barco products. The third pillar, optimize, ensures access to the Barco remote management platforms, in combination with the Optimize service packages, to guarantee the optimal usage of Barco solutions. The adoption services, customer success services and managed services optimize the efficiency and return-on-investment of Barco solutions.

Offering customers everything from installation support at the set-up, to in-depth deployment trainings, the new framework features on-site assistance, remote device management platforms and other value-added services. The framework focuses on getting the solution first-time right, with easy on-boarding and setup of professional installation services, offering partners and customers ultimate peace-of-mind. The reworked structure is also expected to optimize efficiency and return on interest for all stakeholders.

“At Barco We gauge and understand the minutest needs of our partners and customers, sometimes even before they realize it, and tweak our solutions to meet future demand. In India, we have always followed an ‘In Country For Country’ approach, and this updated service framework is the latest example of our commitment towards splendid outcomes,” said Rajiv Bhalla, Managing Director, Barco India. “With the revamped service structure, we are ensuring enhanced reliability across our solutions, making sure that our partners and customers always enjoy the best results.”

Barco is further simplifying the service offering through a common framework for all of its connected platforms, under the umbrella of the Barco Management Suites. A free version of the Management Suite is already available with Barco’s devices. Now, a premium version can be acquired with a service contract for advanced functionality.

Since 2020, Barco has shifted its focus from just hardware to hardware plus software, services and experiences. The company, which is enabling organizations to adapt to the hybrid new normal, is focused on enabling all parts of the corporate chain, from people to operational excellence, with the aim of strengthening its global presence, technology leadership, and footprint in core markets. Enhancing service frameworks is a critical component of Barco’s long-term strategic objective as it will yield more recurring revenues for the company and allow the brand to invest more in innovations. With the strengthened service offering, Barco is really living up to the brand’s DNA which focuses on enabling the brightest outcomes for both partners and end customers.

Cartesiam, based in Toulon (France), is a software company founded in 2016, which specializes in artificial intelligence (AI) development tools enabling machine-learning and inferencing on Arm®-based microcontrollers, which today power billions of devices. Its team includes data scientists and embedded signal processing experts, with significant experience in delivering standard and custom solutions. Its flagship and patented solution, NanoEdge AI Studio, allows embedded systems designers without prior knowledge in AI to rapidly develop specialized libraries integrating machine-learning algorithms directly into a broad range of applications. Devices leveraging Cartesiam’s technology are already in production around the world included inside connected devices, household appliances, and industrial machines.

With this acquisition, STMicroelectronics reinforces its AI strategy and strengthens its technology portfolio to address the full spectrum of embedded machine-learning needs. The NanoEdge AI Studio solution is fully complementary to STMicroelectronics’ STM32Cube.AI toolset and will provide STMicroelectronics’ customers with additional flexibility to integrate machine-learning into their solution.

“Using artificial intelligence to create ever smarter solutions is one of the priorities of our customers regardless of their size or industry,” said Claude Dardanne, President, Microcontrollers and Digital ICs Group, at STMicroelectronics. “With STM32Cube.AI, STMicroelectronics already offers the ability to map and run pre-trained artificial neural networks on our broad portfolio of STM32 microcontrollers. The addition of Cartesiam’s machine learning technology to STMicroelectronics’ existing solutions will provide the best edge-AI solution portfolio on the market for any customer looking to bring additional innovation to their offering.”

The terms of the transaction were not disclosed.

Additional information is available on the ST website.

Customers can reach out to edge.ai@st.com.

HORSHAM, PA (March 11, 2021) -Aegis Software, a global provider of Manufacturing Execution Software (MES), announces significantly expanded capabilities in their latest FactoryLogix® 2021.1 release. This most recent release adds native, vendor-agnostic support for any 3D Mechanical CAD (Computer-Aided Design), including animations and annotations, interrogation of detailed part data from PLM, quality data collection against the actual digital twin, and many other new feature enhancements throughout other areas of the solution. Manufacturers can natively merge the real world with the digital world into a real Digital Twin. Thisforms a seamless bridge between the PLM that may be hosting either or both ECAD (Electronics Computer-Aided Design) and 3D mechanical engineering to the shop floor. The first singular MOM/MES platform to natively achieve a truly end-to-end Digital Thread and a Digital Twin for any form of discrete manufacturing. Accelerating time-to-market, propelling productivity, increasing revenues, and improving quality are a fraction of the benefits manufacturers can achieve.

“Manufacturers today are realizing the functional and business value of meaningful non-redundant data from their manufacturing system. We at Aegis see the true Digital Twin and Digital Thread as a critical prerequisite to achieving that. And to achieve the Digital Twin and Thread, the solution must be built upon the design data of the products being manufactured. The native support of all PCB design file types, as well as all major 3D mechanical CAD, enables our customers to use any PLM platform they wish and carry the design ‘Twin’ through the entire process and out into the field using FactoryLogix. This capability places our customers in a unique competitive position, as FactoryLogix is the only single solution able to deliver this true Digital Thread and all the benefits to analytics, traceability, and quality that come with that,” said Jason Spera, Co-Founder, and CEO, Aegis Software. “The expanded support for 3D CADintegration also further enriches FactoryLogix’ unprecedented unique ontological data model, delivering out-of-the-box contextualized analytics and providing a single source of truth.”

FactoryLogix 2021.1 utilizes the extended capabilities in many 3DCAD formats to give manufacturers abilities that ECAD cannot support. Abilities such as leveraging solid model animations that R&D built into the files, accessing detailed information about each part, enabling operators on the floor to spin, explode, explore, and cross-section the assemblies in front of them in a virtual way. It provides operators interactive and animated visual work instructions, enables capture defects right against the physical model, and merges that data with existing IIoT data feeds to provide total visibility and traceability unlike any other platform on the market today.

FactoryLogix is a holistic and modular platform that delivers leading-edge technology with easily configurable modules to support and execute a discrete manufacturer’s strategy towards Industry 4.0. FactoryLogix manages the entire manufacturing lifecycle: from product launch to material logistics, through manufacturing execution and quality management to powerful analytics and real-time dashboards. This end-to-end platform helps companies accelerate product introductions, streamline processes, improve quality and traceability, reduce costs, and gain greater visibility for competitive advantage and profitability.