Recent progress on both analog and digital simulations of quantum fields foreshadows a future in which quantum computers ...

Discover Cornell's analog chip that processes data fast, mimics brain functions, and enhances AI in devices with low power consumption.

The Sep/Oct 2025 issue of Elektor is out. The magazine explores a range of topics including short-range audio, satellite ...

As the Q2 earnings season comes to a close, it’s time to take stock of this quarter’s best and worst performers in the analog ...

Understanding the Fundamentals of Analog Computing How Analog Computing Differs from Digital Analog computing stands apart ...

With the rising interest in edge computing and the addition of artificial intelligence/machine learning functionality, nanopower circuits are in great demand to reduce the quiescent power consumption ...

When it comes to learning digital system design, hob-byists and students have a lot of options, whether it's tinkering with field-programmable gate arrays or working up a chip submission for a Tiny ...

ROHM announces REF67004, a hybrid power supply reference design combining analog and digital control for efficient 24V DC output. Features single LogiCoA™ MCU managing PFC and flyback converters at ...

AICircuit is a comprehensive multi-level dataset and benchmark for developing and evaluating ML algorithms in analog and radio-frequency circuit design. AICircuit comprises seven commonly used basic ...

FALCON (Fully Automated Layout-Constrained analOg circuit desigN) is a unified machine learning framework for end-to-end analog and RF circuit synthesis. Given a target performance specification, ...

An electronic circuit can usually be categorized as an analog circuit, a digital circuit, or a mixed-signal circuit (a combination of analog circuits and digital circuits).