A design update brings simulation, workflows, & support across RF, digital, power, quantum & photonics, changing how systems are built and tested.

Overview: Today's high-performance cloud simulators surpass previous limits in handling qubits and accurately replicate ...

It is important to consider the use of artificial intelligence (AI) for analog test and measurement, as well as other electrical engineering activities, as it helps ensure that critical electrical ...

Analogue engineering still relies heavily on manual intervention, but that is changing with the growing use of AI/ML.

Spectrum Instrumentation has introduced a Direct Digital Synthesis (DDS) option for its 65xx series Arbitrary Waveform ...

Nvidia has also been growing its family of open source AI models, from Nemotron for agentic AI and Cosmos for physical AI to ...

Qoro Quantum's unified software stack optimizes quantum algorithms, addressing integration challenges and accelerating the ...

Qiskit and Q# are major quantum programming languages from IBM and Microsoft, respectively, used for creating and testing quantum circuits. Libraries like PyQuil and PennyLane are important for ...

A physics-based Python simulation exploring collision behavior in an AstroBlaster system, focusing on momentum transfer, impact modeling, and numerical computation techniques. #PythonPhysics ...

A computational physics approach to modeling rigid object motion using spring forces in Python. This focuses on how spring systems can approximate real-world rigid body behavior through numerical ...

Manufacturing is entering a new era where AI interacts directly with the physical world. Through robotics, sensors, ...

This study provides an important and biologically plausible account of how human perceptual judgments of heading direction are influenced by a specific pattern of motion in optic flow fields known as ...