From Circuits to Systems: Unlocking the Power of Periodic Steady-State Analysis (eBook)


RF and mixed-signal design verification is getting harder. Heterogeneous integration means sensitive RF blocks now sit next to noisy digital logic. Advanced-node CMOS means analog functions are increasingly implemented with fast-switching digital circuits. Wireless standards keep evolving, and the documentation runs hundreds of pages. Our new ebook, From Circuits to Systems: Unlocking the P... » read more

Centralized Architecture for Automotive ADAS/AD Radar Based on Raw-ADC-Data


This white paper examines the automotive industry's transition from edge-based radar to centralized processing architectures using raw ADC satellite sensors to enable advanced "Deep" or "Early" sensor fusion by overcoming the compute and memory bottlenecks. It explores the benefits of the centralized architecture and introduces Infineon’s CTRX8191F and CTRX8188F devices for best-in-class RF p... » read more

Connectivity and Compute in Next-Gen Edge Devices


AI-native Edge devices are reshaping IoT by converging AI, connectivity and compute into a single platform. This paper highlights how Synaptics SYN765x brings Wi-Fi 7, local AI processing and intelligent sensing together to reduce latency, lower costs, enhance privacy and accelerate next-generation connected device design. Read more here. » read more

GaN Power Devices Power Up


Key Takeaways: GaN devices are gaining traction due to their ability to tolerate higher voltages. New approaches such as chiplets offer faster switching with less loss. The first applications to benefit from GaN will be low-voltage consumer devices; industrial applications require more work. As electrical power displaces fossil fuels in more applications, system designers ne... » read more

Pentesting: The Required Human Ingenuity to Uncover Security Gaps


A penetration test (or more commonly, “pentest”) is a software, infrastructure, and or network attack on your organization by a skilled attack team that probes for security weaknesses and seeks to exploit them to reach your assets. The testing team surveys the breadth of potential damage that can be done in an attack and delivers a report that helps an organization prioritize its security w... » read more

Beating the Edge AI Power Wall with Low Voltage Foundation IP


Edge AI is pushing the limits of power efficiency as intelligence moves closer to the data source. Designing for ultra-low voltage operation is now essential to achieve optimal performance-per-watt—but it introduces significant complexity in modeling, variation, and design predictability. In this white paper, discover how a unified, silicon-proven Foundation IP platform approach enables relia... » read more

Using Graph Attention for Virtual Metrology in Semiconductor Manufacturing (Intel Foundry, ASU)


Researchers from Arizona State University and Intel Foundry have published “Graph Attention-Based Virtual Metrology for Film Deposition Processes in Semiconductor Manufacturing”. Abstract “Artificial intelligence-driven semiconductor manufacturing increasingly operates at nanometer and angstrom scales, where precise process control depends on accurate and timely metrology. Howeve... » read more

Surface Modification for III-V Selective Area MBE of Non-Selective Mask Materials (UT Austin, Harvard)


Researchers from University of Texas at Austin and Harvard University published “Surface Modification for III-V Selective Area Molecular Beam Epitaxy of Non-Selective Mask Materials”. Abstract Excerpt “Selective-area embedded regrowth of III-V semiconductors by molecular beam epitaxy enables the seamless integration of metals and dielectrics into crystalline material for novel... » read more

Scaling Open-Source HW Accelerator for Deep NN Inference (UDE, Fraunhofer IMS)


Researchers from University of Duisburg-Essen and Fraunhofer Institute for Microelectronic Circuits and Systems have published “OpenEye: A Scalable Open-Source Hardware Accelerator for DNNs”. Abstract “The increasing computational complexity of deep neural network inference poses significant challenges for efficient hardware acceleration on embedded platforms, particularly with respect ... » read more

Moving Intelligence Closer to the Sensor Edge (IBM Research)


A researcher from IBM Research - Europe published “Emerging Trends in Intelligent Sensing”. Abstract “The rapid proliferation of artificial intelligence, connected devices, and high speed mobile networks is driving unprecedented computational demands that challenge traditional sensor architectures. This article explores the shift toward edge computing, where computation is perfor... » read more

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