Apple’s Neural Engine and the generative AI game

In a VAE, a single machine learning model is trained to encode data into a low-dimensional representation that captures the data’s important features, structure and relationships in a smaller number of dimensions. The model then decodes the low-dimensional representation back into the original data. Essentially, the encoding and decoding processes allow the model to learn a compact representation of the data distribution, which it can then use to generate new outputs. AIMultiple informs hundreds of thousands of businesses (as per similarWeb) including 60% of Fortune 500 every month. Cem’s work has been cited by leading global publications including Business Insider, Forbes, Washington Post, global firms like Deloitte, HPE, NGOs like World Economic Forum and supranational organizations like European Commission.

In addition, we look at the increasingly tangible 15-inch MacBook Air with the M2 chip, which Apple could launch as soon as April. In February last year, Apple purchased an AI start-up focused on auto-generated music, but the company is publicly missing from the current race to innovate in the generative AI space. We look at where Apple may have advantages that it could leverage for AI, potential integrations in features like Siri and Spotlight search, and where we could see the first Apple generative AI tools emerge. MacRumors attracts a broad audience of both consumers and professionals interested in the latest technologies and products. We also boast an active community focused on purchasing decisions and technical aspects of the iPhone, iPod, iPad, and Mac platforms. Reuters, the news and media division of Thomson Reuters, is the world’s largest multimedia news provider, reaching billions of people worldwide every day.

Popular Free Generative AI Apps for Art

Unlike some competitors who use a cloud-based approach, Apple prefers running software on-device for better privacy and performance. However, Apple’s LLMs, including Ajax GPT, are quite large, which makes it difficult to fit them onto the iPhone due to their size and complexity. Currently, Apple is planning to integrate LLMs into Siri, its voice assistant. This would allow users to automate complex tasks using natural language, similar to Google’s efforts to improve their voice assistant. Apple believes its advanced language model, Ajax GPT, is better than OpenAI’s GPT 3.5. Apple has been bringing out some amazing AI-based solutions in the last couple years, including object recognition in the Photo app.

During the question-and-answer session with analysts, Cook was asked by analyst Shannon Cross of Credit Suisse for the Apple CEO’s take on generative AI overall, and more specifically on how the technology will fit into Apple’s products. As spotted by 9to5Mac, one of the listings is for a Visual Generative Modeling Research Engineer. The role will be part of « a group that will shape the way generative AI technologies transform Apple’s mobile computing platforms », the description says. “I think if they talk about it the way everyone else has, then it seems more ‘Me too’ than is typical of Apple,” he says.

Image-to-image conversions

Apple executives could offer more clues on how the iPhone maker views generative AI and how it fits into the broader business. At WWDC, Apple typically introduces new software for the iPhone, Apple Watch, iPad and so on, and it’s possible that Apple could bake more AI into those updates. These are all computationally intensive tasks, both rely on on-device intelligence rather than the cloud, and are designed to maintain privacy and make use of the dedicated AI cycles inside every Apple device. The company has dedicated huge resources to Neural Engine improvements since it first appeared in 2017.

Apple is an equal opportunity employer that is committed to inclusion and diversity. Learn more about your EEO rights as an applicant (Opens in a new window) . Apple Yakov Livshits has worked with AI for several years now, but DA Davidson analyst Tom Forte predicts that it’s not the company’s style to launch a big, splashy AI product of its own.

Will Apple Enter the Generative AI Race? All Eyes Are on WWDC

Yakov Livshits
Founder of the DevEducation project
A prolific businessman and investor, and the founder of several large companies in Israel, the USA and the UAE, Yakov’s corporation comprises over 2,000 employees all over the world. He graduated from the University of Oxford in the UK and Technion in Israel, before moving on to study complex systems science at NECSI in the USA. Yakov has a Masters in Software Development.

It’s a new AI arms race, and Big Tech companies are scrambling to meet the moment. In July, we heard from Mark Gurman that Apple is internally testing a generative AI chatbot and that the company may make a “significant AI-related announcement” in 2024. Now, the latest analyst note from Ming-Chi Kuo predicts that generative AI features may not come to Apple hardware for consumers next year.

• In this blog let us try to understand what Generative AI is and its applications and limitations.
• But Generative AI is not without challenges just like any other emerging technology.
• Geoffrey Hinton, credited as the « godfather of AI, » resigned from Google in May so that he could freely share his concerns about the technology he helped create, which he says could cause the world serious harm.
• Apple is also working on a large language model of its own called Ajax, which will help it compete with the likes of Microsoft Corp.
• But as Greengart highlights, it would make sense for Apple to bring the tech to certain products that extend beyond Siri as well as its current AI-powered offerings.

Geoffrey Hinton, credited as the « godfather of AI, » resigned from Google in May so that he could freely share his concerns about the technology he helped create, which he says could cause the world serious harm. Last Tuesday, speaking before a Senate subcommittee, Altman said he’s « eager » for artificial intelligence to be regulated. He also spoke about the promise of artificial intelligence and discussed its potential harms.

In this blog let us try to understand what Generative AI is and its applications and limitations. Microsoft and Google released competing AI-powered products last week, amid a slew of other companies began announcing plans for products and services running on some type of AI. This new race —driven by the hype surrounding OpenAI’s viral ChatGPT application— has turned AI into the new battleground. Ahead of the conference, Apple previewed a slew of accessibility software features expected to make their way to its upcoming iOS 17 mobile operating system. It uses on-device machine learning to allow users at risk of speech loss to replicate a voice after about 15 minutes of training. The phone can then speak aloud typed-out phrases, and it’s compatible with FaceTime and phone calls in a feature that could be a form of generative AI for voice.

Apple has boosted its budget for developing artificial intelligence, emphasizing creating conversational chatbot features for Siri — allegedly spending millions of dollars daily on research and development. Siri, which was released 12 years ago, uses speech recognition and machine learning to understand a query and serve up an answer. In recent months, Apple debuted camera enhancements such as photographic styles and the ability to cut and paste a subject from an image, both of which depend on AI. Altman’s comments followed calls by a group of AI researchers and tech leaders, including Elon Musk and Steve Wozniak, to pause development of AI systems more powerful than GPT-4 over concerns about runaway risks without sufficient guardrails.

However, a chatbot in the vein of OpenAI’s ChatGPT or Google’s Bard is likely not in the books for Apple. The underlying technology behind those chatbots, known as large language models, has a high resource requirement for development. That means significant investment in the form of computing resources, human talent and power, rendering it a possibility for huge enterprises with vast resources. While Apple presumably has those resources, it’ll have to be a worthwhile investment for the iPhone maker. One way in which to cut the cost of this kind of AI, while reducing the size of the language model and increasing accuracy by protecting against AI-created « alternative facts, » is to limit the technology to select domains.

Reuters provides business, financial, national and international news to professionals via desktop terminals, the world’s media organizations, industry events and directly to consumers. While the buzzy term is generative AI, Cook reinforced how Apple has integrated other types of AI in its products for years, like Crash Detection in iPhones and Personal Voice in Yakov Livshits iOS 17. But Cook’s specific mention of generative AI in Apple’s R&D efforts, might mean Apple users might see more ChatGPT-esque features in the near future. Smartphones have become hard to improve on with transformative new features, and overall the iPhone 15 rollout was underwhelming, says Tuong Nguyen, director analyst at Gartner covering emerging technology.

Kuo also believes that with Vision Pro production and shipments expected to be “quite small” for 2024, it also will not benefit the Apple stock price. Moving to generative AI, Kuo says because Apple’s progress on the tech is “significantly behind its competitors” he doesn’t expect Apple to say much about the topic. As for why Apple has banned at least some employees from using ChatGPT and other similar AI tools, security and privacy are the top reasons. Apple doesn’t want any proprietary information to be compromised by third-party tools.