Tuesday, February 21, 2023 5:01 pmTuesday, February 21, 20235 Comments

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Apple has been working of Artificial Intelligence and Machine Learning for decades, but longtime Apple analyst Tim Bajarin believes that Apple is more cautious about publicly touting its own AI prowess in light of the recent controversies surrounding Microsoft’s Bing AI and Google’s Bard ChatGPT competitor.

Tim Bajarin for Forbes:

From a historical standpoint, Apple began showing off early AI models when they introduced their futuristic Knowledge Navigator in 1987 And by 1990, Apple started a significant speech recognition project under Kaifu Lee who today is one the top researchers and experts in AI.

Of course, Apple’s Siri employs modern-day AI and advanced machine learning to deliver answers to spoken questions or requests and is at the heart of Apple Maps.

Apple historically does not take the lead in new technologies, especially if they are not consumer proven…

Apple not jumping into the ChatGPT fray now is reasonable, given the current arrows aimed at Microsoft and Google’s AI ChatGPT solutions.

Although Bing’s ChatGPT and Google’s Bard are excellent products with great potential, it was clear that researchers and savvy media would poke holes in its capabilities and make those failures the headlines.

Given Apple has been researching and applying AI to many of its products since 1986, it is probable they already have its own version of ChatGPT, among other significant breakthroughs in the pipeline.

However, when and how to debut these around an Apple-specific public strategy is being worked on diligently now.

MacDailyNews Take: Apple has made significant strides in the fields of Artificial Intelligence and Machine learning over the years and its efforts are accelerating. Some of Apple’s notable achievements include:

• Core ML: Apple’s Core ML is a framework that allows developers to integrate machine learning models into their iOS apps. Core ML supports a variety of popular machine learning tools and techniques, such as neural networks and decision trees.

• Face ID: Apple’s facial recognition technology, Face ID, uses AI and machine learning to recognize a user’s face and authenticate their identity. Face ID is used on the iPhone and iPad, and is considered one of the most secure forms of biometric authentication.

• Siri: Apple’s voice-activated personal assistant, Siri, is one of the company’s most well-known AI applications. Siri uses natural language processing (NLP) and machine learning to understand and respond to spoken requests from users.

• Apple Neural Engine: Apple’s custom-designed Neural Engine is a chip that is used in some of the company’s devices, including the iPhone and iPad. The Neural Engine is designed specifically for machine learning tasks, and is used to power features like Face ID and Siri.

• Machine Learning Research: Apple also conducts research in the field of machine learning, with a particular focus on developing techniques that can be used to improve user privacy. For example, Apple has developed a technique called “differential privacy,” which allows data to be analyzed without revealing individual users’ personal information.

Overall, Apple has made significant contributions to the field of artificial intelligence, and continues to invest in AI research and development.

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[Thanks to MacDailyNews Reader “Fred Mertz” for the heads up.]