Apple's devices have always had less RAM than other types of devices, but now with Apple AI coming, the company needs to fix that problem or risk slower AI adoption.
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Yes, Space Black is very cool. Still, I don't think the new laptops were the most interesting part of Apple's Scary Fast event. In fact, Apple mostly gave us exactly what most people expected. Instead, there were two things Apple did that were both surprising, but also that make perfect sense: First, the company killed off what it once called the "world's second-most-popular laptop," the 13-inch MacBook Pro. Most people, I imagine, had no idea why Apple was still selling the old form factor with 2 USB-C/Thunderbolt ports and the Touch Bar. Obviously, there were a lot of businesses who bought it just because it had Pro in the name, but it was long past time to get rid of the MacBook Pro in name only. Instead, Apple released a 14-inch MacBook Pro with the M3 base processor, with a slightly lower starting price. Also, Apple talked--for the first time--about AI. Sure, Apple has long talked about things like "machine learning," and "on-device intelligence," but it hadn't used the phrase "AI" or "artificial intelligence" a single time since ChatGPT launched last November. Even when CEO Tim Cook was asked about it on a recent earnings call, his answer was reserved. The silence on AI was notable as tech companies have spent the last year rushing to justify a reason to add the latest buzzword to every product they make. Now, however, with the M3 chips, Apple talked about how its newest laptops are great as a tool for AI developers. I think there are a few reasons for the shift, and it's an interesting insight into the way Apple works. https://lnkd.in/g49UyupG
With the M3, Apple Is Finally Talking About A.I.
inc.com
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fastcompany.com: Apple has released a new laptop that shares similarities with the MacBook Air but has distinct features. Choosing between the two should not be difficult for most people. Thank you for reading Plugged In, Fast Company's weekly tech update. - Artificial Intelligence topics! #ai #artificialintelligence #intelligenzaartificiale
The new MacBook Pro makes so much sense. That’s no small feat
fastcompany.com
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Apple is developing its own AI chips for data centers under the internal code name "Project ACDC," aiming to leverage its decade-long expertise in chip design. This initiative is to enhance its server capabilities, particularly in running AI models for inference. Although it's uncertain when these chips will be revealed, Apple plans to showcase new AI products at its Worldwide Developer Conference in June. The development involves collaboration with TSMC. Apple's move could strategically position it against competitors like Microsoft and Meta, who have aggressively integrated AI into their operations. Apple's progress in AI has been a point of concern for its investors, especially as rivals gain from high-profile AI ventures. #ai #datacentre
Exclusive | Apple Is Developing AI Chips for Data Centers, Seeking Edge in Arms Race
wsj.com
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My favourite quote from the review... "M3 lineup looks like it's purpose-built to handle AI workloads". Attention all businesses! Now is the perfect time to explore the incredible potential of AI. ZDNET's review of the M3 MacBook Air calls it "Apple's AI computer for the masses." Discover how AI can help take your business to the next level. Check out the review of the M3 MacBook Air and see how it can handle even the most complex AI workloads. Don't miss out on this opportunity to grow your business! #M3MacBookAir #AI #businessgrowth https://lnkd.in/eFw-s8R2
M3 MacBook Air review: Apple's AI computer for the masses has arrived
zdnet.com
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AI Pioneers: Apple's M3 MacBook Air Leads the Pack-Brian Heater The Apple M3 MacBook Air retains its status as the top consumer laptop for AI tasks, leveraging its Neural Engine for machine learning capabilities. Despite minimal changes from previous models, the Air stands out in the AI landscape, boasting powerful silicon and efficient design. Apple's emphasis on AI reflects industry trends, with generative AI becoming increasingly tangible for consumers. While high-end machines may appeal to programmers, the Air's accessibility and performance make it the optimal choice for most consumers seeking AI capabilities in a laptop. Overall, it remains unrivaled as the best MacBook for AI-focused tasks. #Apple #M3MacBookAir #AI #NeuralEngine #MachineLearning #GenerativeAI #Laptop #Tech
Apple M3 MacBook Air review: Still the best Mac for most | TechCrunch
https://techcrunch.com
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#vlsi #vlsidesign #vlsijobs #vlsitraining #vlsicareer #vlsiexpert #vlsijob #vlsijobseekers #vlsiprojects #vlsiverification #vlsifreshers #vlsicourses #semiconductors #semiconductorindustry #semiconductorwave #semiconductores #semiconductormanufacturing #semiconductorjobs #semiconductorshortage #semiconductorclub #semiconductorchips #samsungsemiconductor #semiconductordevices #semiconductorchip The effort would build on Apple’s previous efforts to make in-house chips, which run in its iPhones, Macs and other devices, according to the Journal, which cited unidentified people familiar with the matter. The server project is code-named ACDC within the company, the newspaper said. https://lnkd.in/eKzxwUmC
Apple working on homegrown chips to run AI tools for data centers
business-standard.com
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I help businesses integrate AI automations @digestprompt.io | Full-stack AI developer | Ex-UN Consultant | Digital Economy at WU
Apple introduces the M4 chip in the iPad Pro — But I am interested in something else! With Apple's most powerful Neural Engine yet, the new iPad Pro is a beast, performing a staggering 38 trillion operations per second. That's 60x faster than their first Neural Engine! Here’s the real scoop for developers: Core ML integration takes the spotlight, making it effortless for us to tap into the Neural Engine. This means being able to make apps to deliver phenomenal AI features locally, including running powerful diffusion and generative AI models, with great performance on the device. This is just the beginning! Wait till Apple brings it to the iPhone and the Macbook. If you are interested, have a look at the ML core documentation here: https://lnkd.in/gPrMhEKk, and feel the same thrill I feel when I imagine the possibilities and the future of mobile computing. Google has its Gemini AI package for Flutter, but it relies on the cloud. That's why I love Apple! If you are interested in looking at more Artificial Intelligence possibilities, check out our AI Automation Agency at DigestPrompt.io and follow Mohit Mrinal for more such updates! #AppleEvent #iPadPro #Innovation #TechTrends #ArtificialIntelligence #M4 #AIautomation #digestprompt
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Very interesting to listening this morning & what big company directors are pushing for?? There is a new race in artificial intelligence; the race to bring AI to the device. Apple’s rivals, Samsung and Google, have both released mobile phones with new AI assistants. And Microsoft has unveiled an AI tool for its laptops, known as Copilot, leaving Apple in the unusual position of being behind the pack. But that’s about to change. Next week, at its Worldwide Developers Conference (WWDC) in California, Apple is expected to announce a collaboration with OpenAI. The shift to the device is happening quickly as governments, investors, businesses and their employees scramble to work out how to use AI, how to regulate it, how to make money from it and how to survive it. This week on The Fin podcast, Technology editor Paul Smith and columnist and senior writer John Davidson explain how AI is moving to “the edge” and talk about what that means for jobs, energy use and investor returns. https://lnkd.in/gTgqYEWf
Why investors are watching AI’s move to ‘the edge’
afr.com
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Chief Accountability Officer @ e-Literate | Consulting on EdTech, Data for Education, and Tech-enabled Education Strategy
This is the most obvious Apple AI story that everybody is missing. Tons of stories are being written about the M4 chip, the next-gen Siri, partnerships with OpenAI, and so on. Separately, speculation is rampant about the upcoming iPad event, which Apple has taken the unusual step of making an in-person event. (Usually these ones are virtual.) There are confusing rumors about iPads having the new AI-ready M4 chips. Maybe. Which would be confusing and also break with Apple's product update rhythm. And a new stylus is expected to come out. It's all...confusing. Until you look at it from the perspective of Apple being a massively vertically integrated company. Come on, people. Look at the artwork for the event. Apple is going to unveil new AI-enhanced creative capabilities. For example, draw an apple on your iPad with the stylus, use AI to enhance it. This will be the first demonstration of Apple's on-device AI prowess and the benefits of its vertical product integration, from chip to device to peripheral to OS to applications. It will be unlike any other demonstration of AI we've seen so far, precisely because of that vertical integration. It will show Apple's vision of AI. And it will set up a rolling series of announcements and releases. The next one will be at their developer's conference in June, followed by a fast (for Apple) chip upgrade cycle across their entire product line from the second half of 2024 into the first half of 2025. By this time next year, the entire Apple product line will have AI deeply integrated into products in a way that only Apple can (though Microsoft is trying to catch up). #AI #Apple
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On-device GenAI models significantly benefit industries where real-time, reliable, and secure processing is crucial. This includes healthcare, for patient data analysis and personalized care; IT and cybersecurity, for real-time threat detection; and consumer electronics, for enhancing user experiences with smart devices. Each sector can leverage on-device AI to improve efficiency, privacy, and user engagement without the latency or security concerns of cloud-based processing.
Innovation and Product Management Executive | Senior Distinguished Engineer | Inventor | Driving impact through technology
With Apple's announcement yesterday, all major device vendors have now introduced on-device, offline GenAI models. Apple's iPhone will feature "onscreen awareness," Microsoft's Copilot can read, analyze, and store everything on your screen, and Google is following suit. The Human Computer Interface paradigms are about to shift wildly and fast. Processing AI tasks (language, visual, you name it) on the device itself removes the reliance on a network connection - the pendulum swing from something run in large clouds (and therefore local offline behavior needs to remain the same in case of network outages) to AI augmenting humans on the edge devices without requiring network connections has officially kicked off a new UX race.
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