Apple’s artificial intelligence and machine learning are more advanced than many realize

Apple has been working on artificial intelligence and machine learning for decades, but longtime Apple analyst Tim Bajarin believes Apple is more cautious about developing its own AI technologies given the recent controversies surrounding Microsoft’s Bing AI and Google’s Bard ChatGPT competitor. publicly promoting skills.

Apple M2 Pro Neural Engine

Tim Bajarin for Forbes:

Historically, Apple started showing off early AI models when they introduced their futuristic Knowledge Navigator in 1987. In 1990, Apple started a major speech recognition project under Kaifu Lee, who is now one of the leading researchers and experts in AI.

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

Apple doesn’t have a history of taking leadership roles in new technologies, especially when they’re not consumer-proven…

Apple not jumping into the ChatGPT battle now is reasonable given the current arrows targeting 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 these flaws headline news.

Since Apple has been researching and applying AI to many of their products since 1986, it’s likely that they already have their own version of ChatGPT, among other significant breakthroughs.

However, when and how these will be introduced as part of an Apple-specific public strategy is currently being worked on diligently.

MacDailyNews Take it: Apple has made significant strides in artificial intelligence and machine learning over the years, and its efforts are accelerating. Apple’s notable achievements include:

READ :  Certara acquires Vyasa, an artificial intelligence company

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

• Face ID: Apple’s Face ID facial recognition technology 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 best-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 proprietary Neural Engine is a chip 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 for features like Face ID and Siri.

• Machine Learning Research: Apple also conducts machine learning research, 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” that allows data to be analyzed without revealing the personal information of individual users.

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

Please support MacDailyNews. Click or tap here to support our independent tech blog. Thank you very much!

Support MacDailyNews by shopping at the Apple Store on Amazon.

READ :  Google launches suite of digital tools around medical images

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