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AI models are rapidly evolving, outpacing hardware capabilities, which presents an opportunity for Arm to innovate across the compute stack. Recently, Arm unveiled new chip blueprints and software tools aimed at enhancing smartphones’ ability to handle AI tasks more efficiently. But they didn’t stop there – Arm also implemented changes to how they deliver these blueprints, potentially accelerating adoption. Arm is evolving its solution offerings to maximise the benefits of leading process nodes. They announced the Arm Compute Subsystems (CSS) for Client, their latest cutting-edge compute solution tailored for AI applications in smartphones and PCs. This CSS for Client promises a significant performance leap – we’re talking over 30% increased compute and graphics performance, along with an impressive 59% faster AI inference for AI, machine learning, and computer vision workloads. While Arm’s technology powered the smartphone revolution, it’s also gaining traction in PCs and data centres, where energy efficiency is prized. Though smartphones remain Arm’s biggest market, supplying IP to rivals like Apple, Qualcomm, and MediaTek, the company is expanding its offerings. They’ve launched new CPU designs optimised for AI workloads and new GPUs, as well as software tools to ease the development of chatbots and other AI apps on Arm chips. But the real gamechanger is how these products are delivered. Historically, Arm provided specs or abstract designs that chipmakers had to translate into physical blueprints – an immense challenge arranging billions of transistors. For this latest offering, Arm collaborated with Samsung and TSMC to provide physical chip blueprints ready for manufacturing, which was a huge time saver. Samsung’s Jongwook Kye praised the partnership, stating their 3nm process combined with Arm’s CPU solutions meets soaring demand for generative AI in mobiles through “early and tight collaboration” in the areas of DTCO and PPA maximisation for an on-time silicon delivery that hit performance and efficiency demands. TSMC’s head of the ecosystem and alliance management division, Dan Kochpatcharin echoed this, calling the AI-optimised CSS “a prime example” of Arm-TSMC collaboration helping designers push semiconductor innovation’s boundaries for unmatched AI performance and efficiency. “Together with Arm and our Open Innovation Platform® (OIP) ecosystem partners, we empower our customers to accelerate their AI innovation using the most advanced process technologies and design solutions,” Kochpatcharin emphasised. Arm isn’t trying to compete with customers, but rather enable faster time-to-market by providing optimised designs for neural processors delivering cutting-edge AI performance. As Arm’s Chris Bergey said, “We’re combining a platform where these accelerators can be very tightly coupled” to customer NPUs. Essentially, Arm provides more refined, “baked” designs customers can integrate with their own accelerators to rapidly develop powerful AI-driven chips and devices. https://www.artificialintelligence-news.com/2024/05/31/arm-unveils-new-ai-designs-and-software-for-smartphones/

Here's what you shouldn't expect: hardware. Not only is Apple’s Worldwide Developers Conference typically focused on software, but serial Apple tipster and Bloomberg reporter Mark Gurman claims there’ll be no new products at WWDC 2024. So if you’re into slick Apple tech, does that mean you should skip the event's coverage and our how to watch WWDC 2024 guide? Of course not. That’s because, rather obviously, software needs hardware to run upon it, and the potential upgrades and tweaks to the likes of iOS, iPadOS, and watchOS could breathe new life into existing hardware. There are hints of a hefty Siri AI upgrade that could transform the rather lackluster virtual assistant — at least in comparison to the Google Assistant and Amazon Alexa — into a genuinely useful tool complete with generative AI capabilities; think of it as coming up with holiday plans based on your bookings and air travel tickets or neatly summarizing calls and meetings. If such Siri machinations come to pass, that could mean a big upgrade for the likes of the iPhone 15 and recent iPads. But it could also hint that the iPhone 16 range could be a far more AI-centric phone, with generative AI-powered features to take on the likes of the Google Pixel 8 and Samsung Galaxy S24. And AI is likely to play a big part in WWDC 2024 overall, especially as we’ve seen the new iPad Air and iPad Pro models come with the M4 chip that’s been designed to be more efficient for AI workloads. From there we can posit there’ll be macOS upgrades or future features that will have AI and automation at their core; think AI-assisted editing in Final Cut Pro or AI-powered virtual instruments in GarageBand. Don’t expect any Mac hardware refreshes, as we’ve recently had new MacBooks and desktop Macs. It would be nice to see a reworked iMac with a 27-inch screen but that’s wishful thinking. I’d also like to see Apple throw some AI into its audio-visual kit. I'd like to see smarter AI control and tools for tuning things like audio balance with AirPods Pro and AirPods Max, or combining various sensors in the headphones and connected iPhone to provide information on things like wellness tracking without needing an Apple Watch. Any developments on this side could also hint at what we could expect from the rumored AirPods Pro 3 and AirPods Max 2 — both of which I suspect will have smarter features for their upgrades rather than huge steps up in audio quality. https://www.techradar.com/tech-events/what-not-to-expect-at-wwdc-2024

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