Building Edge AI with IP Solutions


As AI inference moves from centralized cloud infrastructure into vehicles, factories, medical devices, and industrial systems, the decisive design challenge shifts from model quality to field-ready implementation. Deployed edge AI systems must perform reliably under a range of constraints, including fixed power budgets, stringent latency requirements, limited or intermittent cloud connectivity,... » 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

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

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

Moving Defect Detection And Classification To The Edge


The number of defects detected through inspection is exploding at each new process node. There are now millions of defects being identified on each wafer, but only a fraction of those can cause problems. Prasad Bachiraju, senior director of business development at Onto Innovation, talks about the different types of images being captured using different illumination modes at different touch poin... » read more

Research Bits: Apr. 14


Authentication for edge devices Researchers from the University of Hong Kong, Tsinghua University, and the Southern University of Science and Technology designed a privacy-preserving system for edge devices that combines physically unclonable functions and compute-in-memory. The Co-Located Authentication and Processing (CLAP) system integrates authentication and processing functions within ... » read more

5 Systems-Level Attack Surfaces That Are Architectural Consequences of Edge-Local Deployment (Imperial College London)


Researchers from Imperial College London and Bytedance released “Systems-Level Attack Surface of Edge Agent Deployments on IoT”. Abstract “Edge deployment of LLM agents on IoT hardware introduces attack surfaces absent from cloud-hosted orchestration. We present an empirical security analysis of three architectures (cloud-hosted, edge-local swarm, and hybrid) using a multi-devic... » read more

Automated MLIR-based HLS framework That Generates FPGA HW Designs From A Variety of CNN Layers (TU Dresden)


TU Dresden researchers published "MING: An Automated CNN-to-Edge MLIR HLS framework." Abstract "Driven by the increasing demand for low-latency and real-time processing, machine learning applications are steadily migrating toward edge computing platforms, where Field-Programmable Gate Arrays (FPGAs) are widely adopted for their energy efficiency compared to CPUs and GPUs. To generate high... » read more

IMC: Free-Space Optical Neural Network With High Clockrate (Berkeley, USC, TU Berlin)


A new technical paper titled "High-clockrate free-space optical in-memory computing" was published by researchers at UC Berkeley, USC,  and TU Berlin. Abstract "The ability to process and act on data in real time is increasingly critical for applications ranging from autonomous vehicles, three-dimensional environmental sensing, and remote robotics. However, the deployment of deep neural ... » read more

5 Strategic Decisions for Building a Scalable Compute Platform for Now and the Future


Artificial intelligence (AI) is no longer a “nice-to-have” technology—it’s a central driver of competitive advantage and business innovation. Across industries, enterprises are moving beyond experimentation and embedding AI into all their products, workflows, and customer experiences. But as organizations scale, many are discovering a stark reality: their compute infrastructure was not ... » read more

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