Quantum simulation; impedance modeling; AI and DSP in automotive; surveillance camera simulation.
Synopsys’ Igor Markov points out how numerical simulation tools advance quantum computing R&D by capturing both quantum-mechanical behavior and classical electromagnetic effects so researchers can evaluate design alternatives before fabrication and gain insight into how devices operate under realistic conditions.
Siemens’ Stephen V. Chavez finds that impedance modeling and control are mission-critical to avoid signal distortion, power loss, electromagnetic interference, or instability.
Cadence’s Vinod Khera highlights how AI-driven DSP technologies in automotive system design transform how vehicles operate, from ADAS and safety to in-cabin sensing and infotainment.
Arm’s Suraj Gajendra suggests that AI inside the car is quietly redefining vehicle design and powering a shift from on-device intelligence to cloud-to-car integration, where bridging the two environments’ architectures and tools will be necessary to speed development and deployment.
Ansys’ Emily Gerken checks out how optical simulation is used in the design of video surveillance cameras, modeling how light interacts with lenses and other optical components to explore different configurations and predict how designs will perform in real-world conditions.
Keysight’s Elif Liebert checks out the Megawatt Charging System (MCS), a new charging standard for heavy-duty electric vehicles with battery capacities ranging from 500 to 1000 kWh that enables charging power of up to 3.75 MW (3000 A at 1250 V DC).
SEMI’s Sungho Yoon observes that while AI-related demand is driving the latest semiconductor rebound, this recovery differs fundamentally from past expansionary booms, characterized by an efficiency-driven adjustment phase in which capital expenditure has shifted focus from expansion to process upgrades and optimization.
Plus, check out the blogs featured in the latest Systems & Design newsletter:
Technology editor Brian Bailey observes that disruption is always seen as the way to make big gains, but when you look back, the large gains often come from a lot of small changes.
Siemens EDA’s Reetika describes a flexible approach for RDC verification that allows skip-depth to be defined on a per-path basis.
Synopsys’ Suresh Babu Barla and Rimpy Chugh explain why it’s important to fix as many design issues as possible in RTL while ensuring the implementation flow does not introduce new problems.
Arteris’ Andy Nightingale contends that performance is no longer just about achieving more speed at any cost and efficiency will define the future of data movement.
Cadence’s Felipe Gonçalves shows the benefits of retransmitting only relevant data to optimize link efficiency in PCIe 6.0.
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