Apple's big push into AI – which the company insists stands for "Apple Intelligence" – could spark an upgrade "supercycle", with the intense processing requirements for the souped-up Siri limiting it to only the most powerful iPhones currently on the market. The company risks angering users who will update to iOS 18 this autumn to discover that even a brand-new iPhone 15 is unable to run features such as automatic transcription, image generation and a smarter, more conversational voice assistant. Apple's new AI models will run on the iPhone 15 Pro and Pro Max, the only two devices the company has yet shipped with its A17 processor. Macs up to three years old will also be able to take advantage of the upgrade, provided they have a M1, 2 or 3 chip, and so too will iPad Pros with the same internal hardware. Critics have argued that the decision to not release a slower or less competent version of the AI system for older phones is motivated by profit.

We've been hearing rumblings for months now that Microsoft was working on so-called "AI PCs." At a pre-Build event, the company spelled out its vision for AI PCs. Microsoft is calling its version Copilot PCs, which CEO Satya Nadella described as a "new class of Windows PCs." These include hardware designed to handle more generative AI Copilot processes locally, rather than relying on the cloud. That requires a chipset with a neural processing unit (NPU) and manufacturers such as Qualcomm have been laying the groundwork with chips like the Snapdragon X Elite.

The Cupertino, Calif., company said a new M4 chipset used in its Pro models contains a more powerful "neural engine" to drive features in third-party apps and its own software that rely on AI and machine learning. These engines have been part of Apple's chips since 2017 but have grown considerably more powerful since then, the company said. Tim Millet, the company's vice president of platform architecture, claimed the M4's neural engine is capable of performing 38 trillion operations per second, more than doubling operations per second compared with the base-level M3 chipset found in the company's MacBook Air, MacBook Pro and iMac.

It's only been five months since Apple released the first M3-powered Macs, but we may not have to wait long to see laptops and desktops with M4 chipsets. According to Bloomberg, Macs with M4 processors could start arriving later this year (which isn't necessarily a massive surprise given the cadence of Apple silicon chips so far). While the M3 lineup didn't offer a massive upgrade from M2 chipsets, the M4 series could be a gamechanger since Apple is said to be placing far more onus on artificial intelligence this time around. There will be at least three main versions of the M4, according to the report, and Apple is expected to update every model of the Mac with one of those chips. As things stand, Bloomberg says Apple will release iMacs, an entry-level 14-inch MacBook Pro, more powerful 14-inch and 16-inch MacBook Pros and Mac minis with M4 chips by early 2025.

Chinese gadget manufacturer Honor just teased its forthcoming flagship smartphone, the Magic 6, at Qualcomm's Snapdragon Summit. While many details of the phone remain mysterious, the company did announce that it would include built-in eye-tracking and an on-board artificial intelligence powered by a large language model (LLM.) One of the phone's key features is something called Magic Capsule, an "eye-tracking based multimodal interaction." Eye-tracking has some potential real world uses when it comes to smartphones, as the sensors and cameras can perform actions based on where you're looking. So you can open up an app or engage with content on the phone simply by staring at the right spot.

Qualcomm is no stranger in running artificial intelligence and machine learning systems on-device and without an internet connection. They've been doing it with their camera chipsets for years. But on Tuesday at Snapdragon Summit 2023, the company announced that on-device AI is finally coming to mobile devices and Windows 11 PCs as part of the new Snapdragon 8 Gen 3 and X Elite chips. Both chipsets were built from the ground up with generative AI capabilities in mind and are able to support a variety of large language models (LLM), language vision models (LVM), and transformer network-based automatic speech recognition (ASR) models, up to 10 billion parameters for the SD8 gen 3 and 13 billion parameters for the X Elite, entirely on-device. That means you'll be able to run anything from Baidu's ERNIE 3.5 to OpenAI's Whisper, Meta's Llama 2 or Google's Gecko on your phone or laptop, without an internet connection.

At its annual Snapdragon Summit on Tuesday, Qualcomm revealed its latest mobile chipset. Perhaps the biggest change in the Snapdragon 8 Gen 3 is the introduction of on-device generative AI (akin to Google's Tensor G3). The chipset's AI Engine supports multi-modal generative AI models and what Qualcomm claims is the world's fastest Stable Diffusion system with the ability to generate an image in under a second. So, you should be able to whip up backgrounds and images for social media posts in a flash. Because GAI requests are handled on-device, Qualcomm says they remain private.

RF fingerprinting is emerging as a physical layer security scheme to identify illegitimate and/or unauthorized emitters sharing the RF spectrum. However, due to the lack of publicly accessible real-world datasets, most research focuses on generating synthetic waveforms with software-defined radios (SDRs) which are not suited for practical deployment settings. On other hand, the limited datasets that are available focus only on chipsets that generate only one kind of waveform. Commercial off-the-shelf (COTS) combo chipsets that support two wireless standards (for example WiFi and Bluetooth) over a shared dual-band antenna such as those found in laptops, adapters, wireless chargers, Raspberry Pis, among others are becoming ubiquitous in the IoT realm. Hence, to keep up with the modern IoT environment, there is a pressing need for real-world open datasets capturing emissions from these combo chipsets transmitting heterogeneous communication protocols. To this end, we capture the first known emissions from the COTS IoT chipsets transmitting WiFi and Bluetooth under two different time frames. The different time frames are essential to rigorously evaluate the generalization capability of the models. To ensure widespread use, each capture within the comprehensive 72 GB dataset is long enough (40 MSamples) to support diverse input tensor lengths and formats. Finally, the dataset also comprises emissions at varying signal powers to account for the feeble to high signal strength emissions as encountered in a real-world setting.

Qualcomm just revealed its new budget-friendly mobile chipset, Snapdragon 4 Gen 2. This refresh brings plenty of improvements that will kick lower-tier smartphones up a notch. The platform is designed for excellent battery life, with the company promising "all-day use." Qualcomm also promises fast CPU speeds, 5G connectivity and the potential for upgraded visuals via integrated cameras. The chips feature the proprietary Qualcomm Kryo CPU, with peak speeds up to 2.2 GHz, which is a slight increase over the previous generation. Qualcomm's latest and greatest also boasts quick-charging technology, with the company stating that you get a 50 percent charge in just 15 minutes at the plug.

Qualcomm has unveiled its latest chipset that will power a wealth of mid-range phones starting later this month. Redmi and Realme are among the brands that will use the Snapdragon 7 Gen 2 chipset. As you might expect, the chipset isn't quite as powerful as the Snapdragon 8 Gen 2, but it appears to offer a notable upgrade over the Snapdragon 7 Gen 1. Qualcomm says the CPU will deliver a performance improvement of over 50 percent, with speeds of up to 2.91GHz. The company claims the Snapdragon 7 Gen 2 will offer improvements in GPU performance (by two times) and power efficiency (by 13 percent) as well. Moreover, Qualcomm says that "on-device AI is integrated across the entire platform."