Will Apple Enter the Generative AI Race? All Eyes Are on WWDC
Video Generation involves deep learning methods such as GANs and Video Diffusion to generate new videos by predicting frames based on previous frames. Video Generation can be used in various fields, such as entertainment, sports analysis, and autonomous driving. Speech Generation can be used in text-to-speech conversion, virtual assistants, and voice cloning. It’s also led Big Tech companies to speed up AI deployments, but not at Apple. The only thing that came close was an update to a feature in iOS 17 that suggests the next word you might want to use when typing on an iPhone keyboard. The Siri voice assistant makes use of natural language processing (NLP) across Apple products including Apple Watch, iPhone, iPad, Mac computers and HomePod devices, to help users execute tasks.
One group focuses on Visual Intelligence, generating images, videos, and 3D scenes, while another works on multimodal AI, which can handle text, images, and videos. But, the story of Apple’s foray into generative AI starts much earlier than May. Four years ago, Apple’s head of AI, John Giannandrea, formed a team to work on large-language models (LLMs), the basis of generative AI chatbots like ChatGPT. “Apple likes to position itself as being at the intersection of technology and liberal arts,” Greengart told CNET in an email.
iPhone 15 vs iPhone 14 — Specs, price, and features, compared
Because Siri doesn’t heavily rely on the collected data about you that encompasses more than even your parents know about you. The Neural Engine comprises a collection of specialized computational cores that exist on Apple Silicon chips. They’re designed to execute machine/artificial intelligence functions quickly and with great efficiency because the action takes place on chip. Next-generation version of iOS with overhauled communication apps, autocorrect improvements, a StandBy nightstand/desk mode, and more. Its “cumbersome design” made it very difficult for engineers to add new features. For example, Siri’s database contains a large list of phrases in almost two dozen languages, making it “one big snowball.” If someone wanted to add a word to Siri’s database, Burkey added, “it goes in one big pile.”
EcoFlow Delta 2 Max manages to cram as much capacity as its competitors into a smaller, lighter form while having 15 ports and an industry-leading fast charge. The ErgoFx desk has unique perks, such as cable management and a built-in wireless charger for your iPhone — but it comes at a steep cost. The Swytch Bike electric conversion kit is a great and relatively simple way to turn your bicycle into an e-bike, even if you’re not used to bike maintenance.
AI is already part of Apple products
Issues around safety and risks to society at large are a topic that the Biden administration is now tackling with a set of initiatives announced this week as well. “It’s about leading with the value for the consumer, not using buzzwords or technical terms that consumers don’t necessarily understand,” says Carolina Milanesi, a consumer tech analyst at Creative Strategies. She says improvements that allow for better color, or zoom, or automate portraits are important for Apple because the camera is a major driver of smartphone purchases. Ecrette Music – uses AI to create royalty free music for both personal and commercial projects.
- But there will always remain a nagging concern of potential technology misuse by fraudulent people to create fake videos, spammy content and misleading news.
- When it comes to the topic of AI, Apple isn’t alone in adopting a cautious approach.
- Apple’s iPhone 15 Pro and Pro Max are the top models in Apple’s iPhone lineup, but there’s more than just a size difference between the two.
- Even though generative AI is a relatively new buzzword among technology enthusiasts, one of its applications is quite familiar to even the laymen.
Apple’s new virtual assistant summarizes text and answers questions based on data it has been trained with, and is being used internally for product prototyping, according to the report. Employees say the tool essentially replicates Bard, ChatGPT Yakov Livshits and Bing AI, and works as a web application. Unlike big tech companies like Google, Meta, and Microsoft which jumped on the AI bandwagon early and have been launching generative AI tools, Apple has stayed characteristically cautious.
According to a January Bloomberg report, it’ll cost around $3,000, run on Apple’s latest M2 chipset, boast eye- and hand-tracking systems, and feature a digital crown that lets users switch between AR and VR modes. It’s also probable that Apple will take advantage of fast-developing AI technology for its latest device as well, even if it’s doesn’t receive explicit mention. The traditional way this would work is that a human writer would take a look at all of that raw data, take notes and write a narrative. With generative AI, learning algorithms can review the raw data programmatically and create a narrative that appears to have been written by a human.
Apple iPhone MagSafe Battery Pack Could Return For iPhone 15, Insider Says
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.
Like any other AI streams like AI domains, including computer vision, conversational intelligence, content intelligence, and decision support systems, Generative AI also tend to grow with more and more applications across multiple industries. Wedbush’s Ives pointed out Apple has spent around $10 billion on research and development around AI and expects some major AI-related announcements this summer when the company announces new products. She said in an email that she thinks that’s why Apple refers to its Vision Pro headset as a spatial computing device, and why CEO Tim Cook says Apple avoids the word metaverse, a term being tainted by Meta’s underperformance. There are precedents for shrinking large models, such as Google’s PaLM2, which comes in different sizes, including one suitable for devices and offline use. While it’s unclear what Apple’s plans are, the company could opt for smaller LLMs for privacy reasons. According to The Information, at least two other teams at Apple are working on language and image models.
It’s also coming from the technology’s own backers – including the founder and CEO of OpenAI, Sam Altman, who has concerns ranging from election disinformation to mass jobs displacement. This seems to be the approach we’re seeing across the industry, as developers such as Zoom find ways to integrate AI into existing products in valuable ways, rather than adopt a scatter gun approach. On Apple’s second-quarter earnings call on May 4, unlike his counterparts at other large technology vendors, CEO Tim Cook did not include any comments about artificial intelligence in his prepared opening remarks. “We’re going to continue investing and innovating and responsibly advancing our products with these technologies to help enrich people’s lives,” said Cook explaining the increase in spending, which has gone up by $3 billion this year.
In the WWDC presentation, Apple VP Mike Rockwell said the apps and websites that run in Vision Pro won’t have access to the eye-tracking data the device uses as a pointing mechanism for VR apps. Matt Turck, an investor at FirstMark Capital, a firm that invests in a number of startups using generative AI in their products, calls the lack of generative AI talk a savvy marketing choice by Apple. Several AI-powered features got announced, but the lack of generative AI mention gave Vision Pro more of the limelight. “The reality is that Apple is a bit behind others like Microsoft and Google in generative AI, so it smartly chose to position itself as running its own race in AI, as opposed to trying to play catch-up with others,” he said in a direct message.
AI image generation tools such as DALL-E 2 have also captured public interest in recent months, alongside the technology’s potential for music creation, video editing, and more. The iPhone maker has built its own framework, known as “Ajax”, to create large language models (LLMs) and is also testing a chatbot that some engineers call “Apple GPT”, the report said, citing people with knowledge of the matter. Generative Adversarial Networks modeling (GANs) is a semi-supervised learning framework.
Apple MagSafe has some new competition in the market with the gradual rollout of Qi2. Here’s how the two standards compare and what you need to know before the iPhone 15 launch. Apple’s iPhone 15 Pro and Pro Max are the top models in Apple’s iPhone lineup, but there’s more than just a size difference between the two. The new app, which is free, gives you a way to take OpenAI’s AI chatbot on the go. I don’t think these tasks really touch all the Neural Engine is capable of.
But as ChatGPT pushes expectations for what’s possible from AI, industry analysts say that Apple is running out of time to show that it can keep pace with its competitors. At stake, they say, is Apple’s ability to remain competitive in a fast-changing market. Blackmagic Design has released an app that improves iPhone filmmaking by offering advanced digital film camera controls and a user-friendly interface for simpler content creation. Amber worked at MacNN and Electronista from 2015 until 2017, reviewing software, apps, games, and tech accessories. In 2019, she signed up with AppleInsider, where she covers all things Apple, with a focus on tech rev…
This has led to a more general debate about responsible AI and whether restrictions should be put in place to prevent data scientists from scraping the internet to get the large data sets required to train their generative models. Generative AI can produce outputs that are difficult to trace back to the responsible parties, which in turn, can make it challenging to hold individuals or organizations accountable for fake news or deepfake videos generated by AI. Proponents of the technology argue that while generative AI will replace humans in some jobs, it will actually create new jobs because there will always be a need for a human in the loop (HiTL). The most commonly used generative models for text and image creation are called Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). Our goal is to provide you with everything you need to explore and understand generative AI, from comprehensive online courses to weekly newsletters that keep you up to date with the latest developments. In this article, we explore what generative AI is, how it works, pros, cons, applications and the steps to take to leverage it to its full potential.