Abstract As cameras become ubiquitous in applications such as surveillance, mobile, drones, and automotive systems, achieving clear vision 24/7 under any condition—including extreme low light and high dynamic range scenarios—has become essential. By leveraging… Can AI make cameras see in the dark?
As electronic systems continue to become more complex and integrate greater functionality, SoC developers are faced with the challenge of developing more powerful, yet more energy-efficient devices. The processors used in these applications must be… Synopsys Processor IP Summit 2024: RISC-V, DSP and NPU IP for Your Diverse SoC Processing Needs
Multi-die SoC containing multiple RISC-V clusters, GPU, NPU, accelerators and DNN have considerable benefits for applications in automotive, space and industrial. Architecture exploration of the chiplet-based SoC requires multiple interconnect protocol models, and multiple coherent… Optimizing Chiplet architectures of RISC-V clusters, GPU and DNN using System-Level IP
For over a decade, CPU and GPU design companies have been using Synopsys VC Formal Datapath Validation (DPV) app with its HECTOR™ technology to verify their data processing elements because traditional verification methods cannot exhaustively… Using Formal Datapath Validation to Verify AI Processor Computations