Please note the blue LED matrix in the photo. This is very interesting. It's not actually a product. It's: Power Flow Visualization. Demonstrating the direction of energy flow using an LED array. Because: The biggest feature of a bidirectional charger: The direction of current changes.

UNI-T is Exhibiting This Week! 📍 PCIM 2026 – Nuremberg, Germany 🏢 Booth 7-229 📅 June 9–11 📍 Hardware Pioneers MAX 26 – London, UK 🏢 Booth B3 📅 June 10–11 Visit us to explore our latest innovations in: Power Electronics Testing Oscilloscopes Spectrum Analyzers RF & EMC Solutions Electronic Test & Measurement Instruments Looking forward to meeting you! #UNIT #PCIM2026 #HardwarePioneers #Oscilloscope #SpectrumAnalyzer #TestAndMeasurement #PowerElectronics

A swept spectrum analyser is a long-exposure photo. A real-time analyser is a film. Modern spectrum is bursty — WiFi packets, Bluetooth hops, IoT chirps, TDD frames. The question is no longer which frequencies are present. It’s what happened, and when.

A core engineering challenge: the root cause of discrepancies where power electronics designs are "theoretically correct but fail in practice"—system-level simulations (e.g., in PLECS) often assume ideal switches, whereas the parasitic parameters of real-world devices determine the success of ZVS, the actual magnitude of switching losses, and whether EMI limits are exceeded. Scenarios where the ideal switch assumption fails: Assumptions of the PLECS Ideal Switch model: When the switch is ON: Vds = 0, no time delay When the switch is OFF: Id = 0, no time delay No parasitic capacitance (Coss, Crss, Ciss = 0) No body diode reverse recovery (Qrr = 0) No gate charge (Qg = 0)

This is what happens when you leave a service engineer alone with a function generator. Our service engineer Hammer was supposed to test the waveform generator. Instead, he used it to draw a dancing stick figure on the oscilloscope. Then he decided to join the dance himself. Engineering. Not always serious. Sometimes this happens. 🤣 #Oscilloscope #WaveformGenerator #EngineeringLife #Electronics #TestAndMeasurement

SoundSL v1.0 — ESP32-WROOM-32U 4× MEMS via I2S GCC-PHAT TDOA pipeline. 8-sector azimuth output. 128 samples/window at 16kHz. 200–400kB RAM. Update rate 26.7Hz. Best quadrant: 84.8%. Worst: 70.7%. Honest failure mode documentation included. University of Salerno Mid Sweden University. IEEE I2MTC 2026.

A 1976 algorithm. A microcontroller that costs less than €10. Four MEMS microphones. 80.1% direction accuracy. 7.5ms latency. Runs locally. No cloud. No neural network. I2MTC 2026, Nancy. A poster that asked the question most AI roadmaps avoid. How much compute do you actually need to make a useful decision?

I almost spent this weekend in Paris. After four days at IEEE I2MTC 2026 in Nancy, I planned to take a train to Paris, meet a few friends from the industry, and enjoy a quiet weekend. A French friend gave me a simple piece of advice: "Don't come this weekend." PSG was playing the Champions League Final. He told me that whether PSG wins or loses, parts of Paris often become chaotic afterwards. So instead, I went to Versailles. What struck me was how different the experiences were. The researchers I met in Nancy were thoughtful, polite, and passionate about measurement science. Versailles was calm, elegant, and peaceful. Yet only a short train ride away, another France was making headlines around the world. After more than 20 years in Europe, I've learned something: The country you see on television and the country you experience in person are often two very different places. Perhaps that's part of Paris' charm. Or perhaps that's simply modern Europe.

At I2MTC 2026 in Nancy, our RF demo looked almost too simple. A signal generator. A spectrum analyzer. One coax cable between them. But after standing there for a while, I realized the real question wasn’t about RF performance. It was philosophical. The signal generator defines what the analyzer should see. The analyzer tells you what the generator actually produced. So who is measuring whom? The setup: UNI-T USG5014M → UTS3084A One creates the signal. One validates it. A closed RF loop. And honestly — this is how most real engineering decisions are made. Not inside national metrology institutes. Not inside perfect calibration chains. But on benches like this. A stable spectrum trace tells you what exists now. The waterfall tells you whether it stays true over time. That difference matters more than many engineers realize. #RF #SpectrumAnalyzer #SignalGenerator #Metrology #SignalIntegrity #Engineering #EmbeddedSystems #Electronics #I2MTC #TestAndMeasurement #UNI_T

While everyone debated NVIDIA vs AMD GPUs, Lattice Semiconductor ($LSCC) quietly moved from ~$85 to ~$143 in less than 2 months. That kind of move usually means: the market is beginning to notice something structural. Not every AI problem needs a 700W GPU. Some need: low latency, deterministic behavior, sensor synchronization, real-time IO, low power consumption, industrial reliability. That’s FPGA territory. #LSCC #FPGA #EdgeComputing #IndustrialAI

At IEEE #I2MTC2026 today. Interesting contrast: Everyone talks about AI. But inside the conference halls, engineers are still focused on: signals, measurement fidelity, RF sensing, real-time acquisition, synchronization, edge processing. AI does not replace instrumentation. It amplifies the value of good instrumentation. That’s why high-quality signal acquisition still matters. #RF #Oscilloscope #AI #Engineering #SignalIntegrity #EmbeddedSystems #UNI_T

At IEEE #I2MTC2026 in France today. One thing became very clear: AI sensing does NOT start with AI. It starts with: reliable instrumentation clean signal acquisition synchronized data real-world measurement fidelity Many talks today focused on RF sensing, industrial AI, radar imaging, biomedical monitoring and edge systems. But behind every “smart” AI system, there is still a very old engineering truth: Bad signals create bad intelligence. That’s why high-fidelity measurement systems still matter. Real engineering. Real waveforms. Real systems. #AI #RF #EdgeAI #Oscilloscope #SignalIntegrity #Instrumentation #EmbeddedSystems #IEEE #Sensors #Measurement

What actually drove AMD's stock to double in a month?I think I saw it coming — back in March, at the AMD booth in Nuremberg.Four demo zones: Robotics. Medical Ultrasound. Secure Industrial Control. Automotive.Not a single word about GPUs.Everyone's asking if AMD can beat NVIDIA. Wrong question.The real AI deployment battlefield is in factories, operating rooms, and vehicles — where you need FPGA and embedded SoC, not H100s.The market took two months to price #AMD #FPGA #PhysicalAI #EmbeddedAI