Новини світу мікро- та наноелектроніки

This two images i took a long time ago are from a smd led, its curious to se the two little wires connecting the led!. submitted by /u/aguilavoladora36 [link] [comments]

Lumentum Holdings Inc of San Jose, CA, USA (which designs and makes photonics products for optical networks and lasers for industrial and consumer markets) plans to establish a new US manufacturing facility in Greensboro, North Carolina. The 240,000ft2 facility will produce indium phosphide (InP)-based optical devices that serve as critical components in the world’s largest AI data centers...

implemented the whole thing on a PYNQ-Z2 FPGA + an Arduino UNO (probably a clone lol). made my own custom keyboard using ~30 pushbuttons, connected them to a 32:5 encoder (which is made using 4* 8:3 encoders and some AND gate ICs) resulting in a 5 bit input to the fpga. fpga then debounces the input, decodes the 5bit signal back to 30 buttons, which are then connected to the internal keyboard of the fpga. now, every button pressed results in the insertion of a character into the calc's input buffer. could be a number, operator, function, decimal, comma, parenthesis, one of the 2 constants pi & e each character is repersented by a unique 8 bit ID when "evaluate" signal is sent, the gears start spinning first, the numbuilder converts the seperate tokens of a number, like : 9 . 0 1 8 3 9 1 into a single number: 9.018391 Represented in a type, sign, mantissa, signed exponent format, so: 2+1+34+7 = 44 bits in total then comes the infix to postfix converter then the postfix evaluator and when it's done evaluating, the final SPI master takes the initial input buffer, and the final answer as inputs, and sends them to an arduino via the SPI protocol. (unidirectional, since the arduino dosen't have to talk back to the FPGA) then the arduino displays the buffer and the final answer on the 16*2 LCD display using preexisting libraries (grossly oversimplified the whole flow, but yea these are all the modules in the picture) im still a beginner but im proud to be a digital electronics enthusiast, there's still alot i need to learn!! submitted by /u/Rude_Parfait_3194 [link] [comments]

To strengthen its global competitiveness, deposition equipment maker Aixtron SE of Herzogenrath, near Aachen, Germany is to build a new manufacturing facility in Malaysia in order to tap into the fast growing semiconductor equipment ecosystem in South East Asia...

STMicroelectronics and Leopard Imaging have introduced an all-in-one multimodal vision module for humanoid and other advanced robotics systems. Combining ST imaging, 3D scene-mapping, and motion sensing with the NVIDIA Holoscan Sensor Bridge technology, the module integrates natively with NVIDIA Jetson and NVIDIA Isaac open robot development platform, simplifying and accelerating vision system design within the size, weight, and power constraints of humanoid robots.

“Humanoid robotics is moving beyond research projects and demonstrations to deliver powerful new machines for a wide range of roles in manufacturing and automotive factories, logistics and warehousing, as well as retail and customer service,” said Marco Angelici, Vice-President of Marketing and Application for Analogue Power MEMS and Sensors, at STMicroelectronics. “Our collaboration with Leopard Imaging brings market-leading ST sensors and actuators, seamlessly integrated into the NVIDIA robotics ecosystem, to accelerate the deployment of physical AI applications with human-like awareness.”

“Accessing ST sensors and actuators directly within the ecosystem has allowed us to standardise and streamline data acquisition and logging for humanoid robot vision across the HSB interface,” said Bill Pu, CEO of Leopard Imaging. “Robot builders can use our multi-sensing vision module with Isaac tools to accelerate learning and quickly bridge the ‘sim-to-real’ gap.”

Powered by the NVIDIA Holoscan Sensor Bridge, the new module integrates seamlessly with NVIDIA Jetson over Ethernet for real-time sensor data ingestion and NVIDIA Isaac open robot development platform, which offers open AI models, simulation frameworks and libraries for developers. The new module includes a build system and application programming interfaces (APIs), artificial intelligence (AI) algorithms curated for mobile robots, sample applications, domain randomisation, and a simulation environment containing sensor models.

ST continues to integrate its sensors, drivers, actuators, controllers, and development tools into the NVIDIA robotics ecosystem as a key NVIDIA robotics and edge AI partner, including high-fidelity models and proof-of-concept modules.

Technical information

The Leopard Imaging Systems vision module incorporates:

For vision-based sensing, the ST VB1940 automotive-grade RGB-IR 5.1-megapixel image sensor has combined rolling shutter and global shutter modes. ST has also released a mass market and industrial version V**943, part of the ST BrightSense product family, existing in monochrome or RGB-IR, in die or packaged sensor.

For motion sensing, the LSM6DSV16X 6-axis inertial measurement unit (IMU) embeds ST machine-learning core (MLC) for AI in the edge, sensor-fusion low-power (SFLP), and Qvar electrostatic sensing for user-interface detection.

For 3D depth sensing, the VL53L9CX dToF all-in-one LiDAR module, part of the ST FlightSense product family, provides 3D depth sensing with accurate ranging up to 9 meters. With its resolution of 54 x 42 zones (nearly 2,300 zones) combined with a wide 55°x42° FoV providing 1° angular resolution, short and long-distance measurements and small objects detection are achievable at up to 100 fps.

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