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Anritsu Company will exhibit cutting-edge high-speed signal integrity solutions at the PCI-SIG Developers Conference from June 11-12 in Santa Clara, CA. Anritsu will present PCI-Express  6.0 and 7.0 live demonstrations of the industry-leading MP1900A BERT in collaboration with Synopsys, Teledyne LeCroy, CIG, and Tektronix.

Live Demonstrations

World’s First PCI-Express 6.0 Link Training over Optics

Anritsu is joining forces with Synopsys, Tektronix, and CIG to demonstrate the world’s first PCIe 6.0 optical connection link training using the Anritsu MP1900A BERT, Synopsys PCIe 6.x PHY and Controller IP, Tektronix DPO70000 Real Time Oscilloscope, and CIG OSFP LPO optical module.

PCIe over optical links provides higher bandwidth, covers longer distances, and is more energy-efficient, effectively addressing key bottlenecks for AI workloads in data centers.

This joint demonstration highlights Anritsu’s leadership in next-generation optical PCIe.

PCI-Express 7.0 Differential Skew Evaluation

In collaboration with Teledyne LeCroy, Anritsu will present a solution for evaluating the effect of differential skew in PCIe 7.0.

PCIe 7.0 uses PAM4 signaling, which reduces eye height by more than three times compared to NRZ. Combined with the speed increase from 32.0 Gbaud in PCIe 6.0 to 64.0 Gbaud, this results in a smaller unit interval (UI) that is significantly more sensitive to skew.

In high-speed environments, signals traversing an ISI channel may exhibit a dip in the fundamental frequency due to skew. While most BERTs lack built-in skew evaluation functions, Anritsu addresses this by using two MP1900A MU196020A PAM4 PPG units with the Channel Sync function to inject P-N skew and Teledyne LeCroy’s WaveMaster 8650HD 65 GHz oscilloscope for advanced analysis.

The post Anritsu to Showcase Groundbreaking PCI-Express 6.0 and 7.0 Demonstrations at PCI-SIG Developers Conference 2025 appeared first on ELE Times.

КПІ впроваджує підхід "compliance + values" задля формування сталої культури доброчесності kpi пн, 06/09/2025 - 11:59

Dowa Electronic Materials Co Ltd of Tokyo, Japan (a subsidiary of Dowa Holdings Co Ltd) has launched a surface-mountable device (SMD) in the peak wavelength range of 1040–1900nm made with its high-efficiency SWIR (short-wavelength infrared) LEDs. DOWA aims to expand business in the rapidly growing machine vision and healthcare markets...

Nanoelectronics research center imec of Leuven, Belgium and two imec research groups at Ghent University (the Photonics Research Group and IDlab) have demonstrated a fully integrated single-chip microwave photonics system, combining optical and microwave signal processing on a single silicon chip (Hong Deng et al, ‘Single-chip silicon photonic engine for analog optical and microwave signals processing’ Nature Communications volume 16, Article number 5087 (2025)). The chip integrates high-speed modulators, optical filters, photodetectors and transfer-printed lasers, making it a compact, self-contained and programmable solution for high-frequency signal processing. This can replace bulky and power-hungry components, enabling faster wireless networks, low-cost microwave sensing, and scalable deployment in applications like 5G/6G, satellite communications, and radar systems...

Silicon Valley-based tech incubator Plug and Play, which launched its semiconductors program in 2023, has joined hands with Synopsys to provide selected startups with access to its design tools and software licenses. The tie-up aims to lower the barrier to next-generation chip design, accelerate time to market, and reduce development costs across various chip-design stages.

Professional-grade EDA tools often represent a significant investment at the early stage, so this partnership will lower the barrier to entry for cutting-edge chip design. “This collaboration with Synopsys brings their trusted and comprehensive chip design software and solutions directly to the startups we support,” said Rouzbeh Borhani, head of Plug and Play Semiconductors.

The partnership also marks a significant move by Synopsys to win over chip startups while helping them innovate at the earliest stages of chip development. Moreover, Plug and Play can provide Synopsys access to deep tech firms beyond semiconductor startups.

Plug and Play has recently welcomed over 150 startups in its first Silicon Valley batch of 2025. These upstarts will gain hands-on support from industry experts, investors, and corporate partners in a 3-month program, which includes mentor-led workshops, private deal-flow sessions, and curated introductions designed to accelerate their business growth.

The program will also allow startups to secure pilots, proofs of concept, and potential investment without equity requirements. In this batch, 13% of startups are based in Silicon Valley, while 61% are from other parts of the United States. The remaining 26% of startups come from Canada, the United Kingdom, Hong Kong, and several other countries.

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The post Tech incubator leasing EDA tools for chip startups appeared first on EDN.

Scratched that itch!! submitted by /u/Separate-Choice [link] [comments]

submitted by /u/jacobson_engineering [link] [comments]

I ordered this Mechanic LS720+ Polarization Ring Light for my work place. I just tested it at home lab with a stereo microscope. Now I have to buy my own :) It removes reflections really well. The images are not sharp because I held the light with my left hand and took photos with a smartphone through the microscope eye piece with my right hand. submitted by /u/1c3d1v3r [link] [comments]

submitted by /u/AutoModerator
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submitted by /u/ElectronSurf [link] [comments]

This is my first macropad, and I’ve built a custom microcontroller board based on the RP2040 (a copy of the Raspberry Pi Pico). Before I send it for manufacturing, I’d really appreciate it if someone could review it and suggest any improvements. I’m a bit nervous since it’s my first design. submitted by /u/NICKSIDD [link] [comments]

Зібрання документів професора І.Д. Жукова kpi пт, 06/06/2025 - 23:44

Кубок Нескорених з футболу в КПІ ім. Ігоря Сікорського kpi пт, 06/06/2025 - 23:39

Візит Посла Ізраїлю до КПІ ім. Ігоря Сікорського kpi пт, 06/06/2025 - 23:33

Just Refurbished one of this that still has an atmega (old > 6 years). New screen, new socket, bigger battery. :) submitted by /u/titojff [link] [comments]

I will make the files available in the comments submitted by /u/Polia31 [link] [comments]

How likely is it that an AI system will be trained on incorrect information? Please consider the following example.

Thomas Edison achieved a lot of things during his lifetime, but now and then, he was off base. When Edison invited Nikola Tesla to see his new phonograph, and Tesla immediately saw room for improvements, Edison was enraged, and the two of them got into a lifelong feud. Edison’s conflict with George Westinghouse about DC versus AC for public electric power systems was another example where Edison went _______ (fill in the blank for yourself). I’ve read Edison biographies, which pointed out his strengths and his flaws, but those writings seem to have vanished from the internet. Writings today seem only to extol Edison almost as a deity.

I once read that when Edison was trying to choose a material for the filament of his electric light bulb, he was focused on what we would today call low-resistivity materials. Those filaments either didn’t work at all or had very short operating lifetimes. When he was told of Georg Simon Ohm and the fact of Ohm’s Law, Edison spurned that input and announced instead that he was not going to be limited by “Ohm’s silly law.” Eventually, though, he went to the carbon filament with its high resistivity and succeeded. Ohm’s law led him to that success.

Somewhere in the past, I came across a written item to the above effect about Edison, although recently, my trying to find that reference has been an exercise in futility (that deity thing again). However, something did come up during my searches, which I found very disturbing indeed (Figure 1).

Figure 1 Disturbing Google search results when trying to find a reference about Edison and his rejection of Ohm’s law.

When I entered a search term of Edison’s supposed “silly law” remark into Google, some of the search results that came up were full of stuff that was just plain, flat out, totally, utterly, and completely WRONG!

Please take a close look at the three images above and read them carefully. They are denials of the validity and applicability of Ohm’s Law. Vital concepts, as rudimentary as static resistance versus dynamic resistance and thermal coefficients of resistance, are simply ignored. At one point, we read “… the light bulb is not ohmic and does not behave like a resistor.”

The numerous mis-statements in these three screenshots are utterly appalling.

Now, consider some AI system getting trained with the inclusion of the above. That AI system is going to be capable of producing erroneous results. It is going to be capable of “hallucinating” and anyone taking those results as valid will have been grievously misled.

In spite of popular misconceptions and loads of public hype, AI doesn’t think. AI only regurgitates with formatting whatever can be found during its “training”. AI at its best is only an information retrieval tool, not a thinking entity with any level of judgment. Judgment still has to come from human brains.

Scary, isn’t it?

John Dunn is an electronics consultant, and a graduate of The Polytechnic Institute of Brooklyn (BSEE) and of New York University (MSEE).

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The post AI and the problem of misinformation   appeared first on EDN.

Infineon Technologies AG announced a collaboration with Typhoon HIL, a leading provider of Hardware-in-the-Loop (HIL) simulation solutions, to provide automotive engineering teams with a fully-integrated, real-time development and test environment for key elements of xEV powertrain systems. Customers working with Infineon’s AURIX TC3x/TC4x automotive microcontrollers (MCUs) can now use a complete HIL simulation and test solution using Typhoon’s HIL simulator for ultra-high-fidelity motor drive, on-board charger, BMS, and power electronics emulation, which provides a plug-and-play interface via the Infineon TriBoard Interface Card.

“Developers of xEV components including motor drives, battery management systems, on-board chargers, and DC-DC converters increasingly rely on Controller Hardware-in-the-Loop (C-HIL), on top of Software-in-the-Loop (SIL) and simulation-based approaches, to quickly achieve results and more rapidly iterate in both prototyping and test cycles,” said Christopher Thibeault, Director of Partner & Ecosystem Management Automotive Americas, Infineon Technologies. “With Typhoon’s proven real-time HIL platform, our AURIX customers can access a design and test environment that will help bring their automotive solutions based on dependable electronics to market faster.”

The solution offered by Infineon and Typhoon HIL includes any of several Typhoon HIL Simulators for real-time digital testing, a suite of testbed hardware and software tools, and the Infineon TriBoard Interface Card, which supports Infineon AURIX TC3xx and TC4xx evaluation boards and plugs directly into a single row of DIN41612 connectors on the front panel of the HIL Simulator. The solution streamlines validation workflows, expedites design and testing processes, and reduces development costs and complexity for customers. Typhoon HIL also offers an “Automotive Communication Extender” product for its HIL Simulator solution based on an AURIX TC3xx processor, which will provide an enhanced  communication interface that allows customers to connect to a larger number of heterogenous ECUs under test via CAN, CAN FD, LIN, and SPI protocols.

“We are excited to partner with a leader in the automotive integrated circuits market, to provide MCU developers with a platform for development and testing of AURIX-based controllers before hardware design is completed,” said Petar Gartner, Director of HIL Solutions, Typhoon HIL. “Our joint customers gain a competitive edge by accelerating their design and test operations while reducing costs, which ultimately translates to market advantage.  We look forward to this ongoing collaboration with Infineon.”

The post Infineon collaborates with Typhoon HIL to accelerate development of xEV power electronic systems using real-time hardware-in-the-loop platform appeared first on ELE Times.

BluGlass Ltd of Silverwater, Australia — which develops and manufactures gallium nitride (GaN) blue laser diodes based on its proprietary low-temperature, low-hydrogen remote-plasma chemical vapor deposition (RPCVD) technology — is now an approved supplier and has received its first order from the Indian Ministry of Defence’s Solid State Physics Laboratory (SSPL), valued at $230,000. The order is for development services for benchmarking the fabrication process of GaN-based laser diodes...

Pick and place equipment is instrumental in many facilities for raising overall output and reducing errors. However, electronics design engineers know that standardization and modularization are among the top requests from decision-makers who use or might soon use this equipment.

Here’s how design professionals can address those standards in pick and place equipment.

After failed efforts to standardize or modularize existing pick and place robots, people may think they should start from scratch to get things right. However, that is not necessarily the case if designers, engineers, and others involved with these projects focus on the most pressing issues and prioritize solving them.

That was the approach for a federal initiative working to improve the Department of Veterans Affairs prescription-fulfillment project. The initial aim was to use 20 modular units, each designed for a specific task.

However, those machines failed numerous tests, and the entity first involved in designing and installing them never finished the project. After assessing matters and implementing solutions, a robotics vendor improved the suction methods that allowed robots to pick up pills and installed funnels around each one to catch dropped pills.

The vendor also implemented technology to train the system to recognize new pill types and shapes, making it future proof. This example shows how electronics design engineers, who identify the most significant issues and determine the best solutions, can get meaningful results and save time and money.

Standard recommendations for training and maintenance

Industrial decision-makers can lengthen the usefulness of pick and place equipment by keeping it well-maintained and ensuring operators know how to use it. These assets are similar to other specialty machines that need ongoing oversight to perform reliably. For example, many laser cutters have auto-focus features and real-time monitoring. Those capabilities tighten quality control but do not remove the need for supervision.

Standardization occurs when managers create training processes, checklists, operator certifications, and other mechanisms to prevent costly mistakes. However, electronics design engineers can influence those resources by suggesting the content of the manuals, warranties, and materials people receive when purchasing pick and place machines.

These engineers can also create guidelines about when to perform specific maintenance measures and stipulate the conditions that may require more frequent maintenance. Those insights can help people standardize internal processes to optimize their equipment.

Traditional standardization opportunities come from purchasing equipment that meets specific industrial standards, such as those associated with pharmaceutical clean rooms. However, some companies purchase automated equipment from a single brand. Although that approach allows standardization, it limits future flexibility.

For instance, recent microelectronics shortages have required creativity to fulfill industrial automation plans. Challenges like this mean standardizing industrial processes may be the best option.

Pursue modularization to enable growth

Electronics design engineers may work for clients who want specific pick and place integrations that address current needs while anticipating future requirements. In those cases, standardization may become limiting, but modularization could create the flexibility required to meet new needs as they emerge.

S&S Activewear’s distribution center is a real-life application of that option. The company uses hundreds of autonomous mobile robots to bring items from shelves to workers. The upgrade saves the employees from time-consuming tasks, like walking up and down aisles to find the desired products.

Executives also recognized how pick and place equipment fit into their automation goals. Although picking was once largely manual, specialty equipment has optimized the task and boosted productivity. The company now has 50 modular picker workstations, increasing its initial amount by over 50%. Workers do all their picking there after robots bring them the goods. Additionally, workers place all the picked goods directly into shippable cartons, shortening the process.

This example shows the positive results that can happen when clients, designers, and other concerned parties focus on expansion potential from the beginning. Even if decision-makers are unsure how much their operations might grow, modular installations give them numerous options to implement later.

Increase pick and place equipment adoption

These suggestions can help electronics design engineers use their expertise and problem-solving strategies to encourage industrial leaders to bring pick and place machines into their facilities for the first time. The more decision-makers view automated equipment as aligned with their processes, the likelier they will be to use it.

Ellie Gabel is a freelance writer as well as an associate editor at Revolutionized.

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