Silicon is the heart in every aspect of daily life of humans. The emerging mega market trends is seeking a symbiotic ecosystem relationship from silicon to chip and integrated software to innovate products and services. Artificial intelligence (AI) is the key accelerator to realize this market need.
ICURO has made significant investments in developing and deploying AI platforms with applications ranging from design-for-silicon to silicon production process. The silicon functional and technical AI practitioners at ICURO have deployed innovative and integrated platforms and modular systems to transform and realize key outcomes across each and every stage of the silicon value chain.
Every chip starts life as a software program before it is fabricated. The processes that transform design code into “sand in the hand” silicon are on the vanguard of chip innovation. ICURO has launched the industry’s first artificial intelligence (AI) platform that adapts to various stages from silicon design to wafer production process by applying deep learning techniques. The only company with functional and technical expertise on the entire silicon innovation lifecycle from silicon design, synthesis to silicon, testing, wafer production, and packaging. Our platform simplifies the integration with silicon design and analysis toolkit, semiconductor manufacturing equipment, lithography, and measurement and testing systems. This platform of platforms has revolutionized the semiconductor production and workforce to leap forward meeting the surging global demand of chips.
The no-code AI vision platform with a user-friendly visual builder provides precision analysis and measurement of desirable features in silicon. It is a self-learning AI system embedded in the manufacturing process to deliver extreme high precision and accuracy by eliminating manual steps at every stage of the silicon manufacturing innovation process.
The platform empowers the lab technicians, quality engineers, and production managers with a rapid inline visual analysis and active feedback system to advance yield improvements. Some of the features include the following
The adaptive AI technology platform integrates with silicon design and analysis toolkit, semiconductor manufacturing equipment, metrology, and visual inspection and measurement subsystems. The adaptive AI techniques remove the extensive labeling of thousands of images or unstructured data that is typically required for a supervised learning pipeline. The production-grade and scalable AI models are best suited for the design lab and shop floor technicians to augment their analysis and reduce manual efforts.
The ready-to-deploy extensible multimodal addresses the following
The intelligent workflow automates every stage from silicon design to semiconductor manufacturing process. It empowers the workforce with digital tools and real time knowledge to adapt, collaborate, and excel in fast-changing conditions. In the wafer manufacturing process, the entire pipeline consisting of contour extraction, template matching, and alignment eliminates the manual steps for characterizing semiconductor geometry and features by applying advanced deep learning to automate measurements of wafer microscopy images. The adapters developed for image capture from atomic force microscope, scanning electron microscope, and transmission electron microscope camera manufacturers. The end-to-end AI pipeline offers both real-time and batch processing for wafer images and measurement of key specifications.
Production yield is the key critical success factor in controlling wafer processing costs. It affects output per unit of input resources, waste generation, environmental and financial sustainability, time to market, and costs. Yield improvements provides significant competitive advantages, which are critical in unpredictable economic environments. Production yield improvement can provide cost competitiveness through optimum resource utilization along with waste reduction and achieving sustainable operations. The AI platform has demonstrated consistent business outcomes in the following three critical success factors.
Associate Member of SEMI, the global industry association representing semiconductor and electronics manufacturing and design supply chain. ICURO contributes to SEMI Smart Initiatives that advances technology around semiconductors, electronics and imaging systems, the Internet of Things, MEMS, sensors, devices, displays, and other digital technologies used in the electronics industry.
As an Associate Member of SEMI, ICURO is an active innovation partner to the following SEMI Smart Initiatives:
Strategic Partner of AMD MIVisionX, the comprehensive toolkit consisting of computer vision and machine intelligence libraries, utilities, and applications bundled into a single toolkit. AMD MIVisionX delivers highly optimized conformant open-source implementation of the Khronos OpenVX™ and OpenVX™ Extensions along with Convolution Neural Net Model Compiler & Optimizer supporting ONNX, and Khronos NNEF™ exchange formats. The toolkit allows for rapid prototyping and deployment of optimized computer vision and machine learning inference workloads on a wide range of computer hardware, including small embedded x86 CPUs, APUs, discrete GPUs, and heterogeneous servers.
As a strategic partner, ICURO has been applying AMD Radeon Open Compute (ROCm) and MIVisionX to deliver advanced accelerators to effectively use OpenVX for feature detection and OpenCL for GPU acceleration in Simultaneous Localization and Mapping (SLAM) applications. SLAM is a computational problem for constructing a 3D map of an unknown area while still knowing where the machine or robot exists in the map and this accelerator developed by ICURO is used for a wide range of applications such as 3D perception for machines, robots, and drones.
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