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Apple avoids “AI” hype at WWDC keynote by baking ML into products

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Summary

At the WWDC 2023 keynote event, Apple did not mention the term "AI" during their presentation, opting instead to focus on terms like "machine learning" and "ML." Despite this, AI was still a part of the presentation, as demonstrated by the use of transformer language models for autocorrect and dictation, the use of the Neural Engine to accelerate machine learning applications, the use of machine learning for personalized volume, creating personalized journal suggestions, and creating 3D avatars for the Apple Vision Pro.

Q&As

What did Apple focus on at the WWDC 2023 keynote event?
Apple focused on terms like "machine learning" and "ML" at the WWDC 2023 keynote event.

What is the transformer architecture and how is it used in natural language processing?
The transformer architecture is a type of neural network architecture used in natural language processing (NLP) that employs a self-attention mechanism, allowing it to prioritize different words or elements in a sequence.

What is the Neural Engine and how is it used by Apple?
The Neural Engine is a special portion of Apple Silicon chips (and earlier Apple chips, starting with the A11 in 2017) designed to accelerate machine learning applications.

How does Apple use AI in its new Journal app?
Apple uses on-device machine learning in its new Journal app to create personalized suggestions of moments to inspire writing.

What is the Apple Vision Pro and what role does machine learning play?
The Apple Vision Pro is a new product revealed at the WWDC 2023 keynote event. Machine learning is used to create a special 3D avatar by scanning the user's face.

AI Comments

👍 This article provides an interesting insight into how Apple is using machine learning and AI to deliver smarter, more efficient products. It's great to see Apple staying ahead of the curve and investing in innovation.

👎 Apple's decision to avoid using the term "AI" and instead focus on terms like "machine learning" and "ML" is highly misleading. It's a way to downplay the potential impact of AI and shift attention to their other products.

AI Discussion

Me: It discusses how Apple avoids using the term "AI" in their WWDC keynote, but still uses machine learning and ML in their products. They even mentioned the AI term "transformer" during the presentation.

Friend: Interesting. What are the implications of this?

Me: Well, it suggests that Apple is trying to stay away from the hype surrounding AI, and instead is focusing on using it in the background. It also suggests that they are taking advantage of the latest AI technologies, as they mentioned the "transformer" model during the keynote. They also mentioned that they are using machine learning to power their new products, such as autocorrect, dictation, and avatar creation. So this article implies that Apple is using AI and machine learning to improve their products, but without the hype.

Action items

Research the transformer architecture and its applications in natural language processing.
Explore the Neural Engine and its capabilities for accelerating machine learning applications.
Experiment with the new features in iOS 17, such as autocorrect and dictation, to understand how machine learning is being used in the background.

Technical terms

AI (Artificial Intelligence): Artificial intelligence is a branch of computer science that focuses on creating machines that can think and act like humans.
ML (Machine Learning): Machine learning is a type of artificial intelligence that uses algorithms to learn from data and make predictions.
Transformer Model: A transformer model is a type of neural network architecture used in natural language processing (NLP) that employs a self-attention mechanism, allowing it to prioritize different words or elements in a sequence.
Neural Engine: A special portion of Apple Silicon chips (and earlier Apple chips, starting with the A11 in 2017) called the Neural Engine, which is designed to accelerate machine learning applications.