ARM

RoboticsCareer.org is a national workforce resource powered by the ARM Institute that connects civilians and military personnel with industry-vetted training programs and job opportunities in robotics manufacturing. It serves multiple audiences including individuals seeking robotics education, current workers looking for jobs or upskilling, employers seeking qualified candidates, and educators wanting to connect with students.

The ARM Institute is seeking proposals to develop an automated system integrated with RoboticsCareer.org to automate the collection, validation, and maintenance of its database of nearly 17,000 training programs. This system aims to improve accessibility, data accuracy, and analytics capabilities for robotics education and workforce development.

Arm Scalable Matrix Extension 2 (SME2) is a set of advanced CPU instructions within the Armv9-A architecture designed to accelerate matrix multiplications, which are fundamental operations in AI workloads. SME2 enables complex AI models to run directly on power-efficient mobile CPUs, significantly boosting performance and efficiency. For example, it can deliver up to 6x faster AI response times in chatbot applications without requiring developers to modify their app code, as SME2 is integrated seamlessly into popular AI frameworks and runtimes.

No, developers do not need to change any code in their existing AI applications to benefit from SME2. Arm has ensured that SME2 is integrated into leading AI frameworks and runtimes, such as XNNPack, which supports popular machine learning frameworks like PyTorch, TensorFlow Lite, and MediaPipe. This seamless integration allows AI workloads to automatically leverage SME2 acceleration on supported hardware, enabling improved performance and efficiency without requiring app modifications.

Athlete Management Systems (AMS) offer features such as data analysis, training efficiency enhancement, and integration with various devices and software. These systems are not just for record-keeping but provide comprehensive tools for managing athlete data and improving performance. They facilitate communication between coaches, athletes, and other stakeholders, which is crucial for effective athlete development.

AMS supports the growth and efficiency of sports organizations by automating administrative tasks, improving communication, and enhancing data analysis. This allows organizations to focus on developing athletes and growing their programs more effectively. Additionally, AMS can integrate with existing systems, ensuring a cohesive management experience.