Neural networks are a powerful tool for processing noisy and unstructured sensor data like camera frames, accelerometer or biometric readings, which makes them perfect for preprocessing or decision making on edge devices, where...
With a rapid increase in interest in adding edge Machine Learning capabilities to consumer-facing as well as industrial devices - brought about by the rapid advances in deep learning and now also LLMs, the increasing compute...
Kenning helps develop real-world Machine Learning solutions for ARM and RISC-V platforms such as NVIDIA Jetson AGX Orin, Google Coral or HiFive Unmatched by seamlessly interconnecting different underlying optimization and deployment...
AI processing of complex data such as images, text, and sound can be used in a factory environment to vastly simplify tasks like classification, counting, tracking, quality assurance, or anomaly detection. Making large-scale...
Based on internal R&D efforts, research projects like VEDLIoT and practical applications in a variety of customer cases, Antmicro is constantly working on improving Kenning, its open source framework for creating deployment...
Machine learning typically operates on large amounts of data which often has to be moved back and forth between processing nodes and storage. This generates bottlenecks and costs in terms of both power and bandwidth. One trend...
OLDER