2024年6月10日 · The Apple foundation models and adapters introduced at WWDC24 underlie Apple Intelligence, the new personal intelligence system that is integrated deeply into iPhone, iPad, and Mac, and enables powerful capabilities across language, images, actions, and …

We present foundation language models developed to power Apple Intelligence features, including a ∼3 billion parameter model designed to run efficiently on devices and a large server-based language model designed for Private Cloud Compute.

Apple machine learning teams are engaged in state of the art research in machine learning and artificial intelligence. Learn about the latest advancements.

Apple continues to build cutting-edge technology in the space of machine hearing, speech recognition, natural language processing, machine translation, text-to-speech, and artificial intelligence, improving the lives of millions of customers every day.

2017年10月1日 · This article concentrates on the part that runs on your local device, such as an iPhone or Apple Watch. In particular, it focusses on the detector: a specialized speech recognizer which is always listening just for its wake-up phrase (on a …

2024年11月1日 · Using the Core ML framework and the optimizations described in this post, app developers can deploy LLMs to run locally on Apple silicon, leveraging the capabilities of the user’s hardware for cost-effective inference on device, which also helps protect user privacy.

At the 2024 Worldwide Developers Conference, we introduced Apple Intelligence, a personal intelligence system integrated deeply into iOS 18, iPadOS 18, and macOS Sequoia.

2024年7月17日 · MLX is a flexible array framework that is optimized for Apple silicon, and brought to you by Apple Machine Learning Research. It enables training and inference of arbitrarily complex models on Apple silicon powered devices with great brevity and flexibility.

Build amazing machine-learned experiences with Apple. Discover opportunities for researchers, students, and developers.

This paper was accepted at the Federated Learning in the Age of Foundation Models workshop at NeurIPS 2023. While automatic speech recognition (ASR) has witnessed remarkable achievements in recent years, it has not garnered a widespread focus within the federated learning (FL) and differential privacy (DP) communities.