Your Apple phone has some new AI powers with iOS 26 and Visual Intelligence. Breakthroughs, discoveries, and DIY tips sent every weekday. By now you should've upgraded to iOS 26 on your iPhone, and the update is a big one. In addition to rolling out an entirely new look (called Liquid Glass), iOS 26 introduces a host of new and upgraded features, from a new battery saving mode to a mobile version of the classic Preview Mac app . Another change ushered in by iOS 26 is the introduction of an expanded Visual Intelligence tool, part of Apple Intelligence.

Breakthroughs, discoveries, and DIY tips sent every weekday. Apple announced the upcoming iOS 26 software for iPhone back on June 9, 2025, with a revamped Liquid Glass look and a host of new features. Those additions include live translations, AI-powered visual search, a new Games app, and better security, and you can read about those new features here. Almost straight after the update was announced, Apple started a beta program for developers and early adopters. Since then, we've seen even more upgrades added to the iOS 26 that weren't mentioned during the announcement.

Breakthroughs, discoveries, and DIY tips sent every weekday. You've unwrapped your new Mac desktop or laptop and you're ready to dive in: Where should you start? Modern-day macOS is designed to be intuitive and straightforward, but it's also stuffed with options and features you can tweak to fit your needs. Here we'll look at some of the fundamental settings that you should change first, to ensure you're getting the best possible experience. All of these options can be found by opening the Apple menu in the top left corner of the macOS interface, then choosing System Settings.

Apple typically pushes out major iOS upgrades every September, alongside new iPhones--you may recall the launch of iOS 18. Those big software upgrades are followed by'point' releases that squash outstanding bugs, improve security and stability, and occasionally introduce new features. That's the case with iOS 18.4, which brings more with it than most minor iOS updates. From extra tools in Image Playground, to ambient music to relax you or send you off to sleep, here's what's new in the iOS 18 update. Apple Intelligence can now prioritize iPhone notifications, selecting which you need to see first and create AI-written summaries.

Machine learning models have achieved, and in some cases surpassed, human-level performance in various tasks, mainly through centralized training of static models and the use of large models stored in centralized clouds for inference. However, this centralized approach has several drawbacks, including privacy concerns, high storage demands, a single point of failure, and significant computing requirements. These challenges have driven interest in developing alternative decentralized and distributed methods for AI training and inference. Distribution introduces additional complexity, as it requires managing multiple moving parts. To address these complexities and fill a gap in the development of distributed AI systems, this work proposes a novel framework, Data and Dynamics-Aware Inference and Training Networks (DA-ITN). The different components of DA-ITN and their functions are explored, and the associated challenges and research areas are highlighted.

As cities strive to address urban mobility challenges, combining autonomous transportation technologies with intelligent infrastructure presents an opportunity to transform how people move within urban environments. Autonomous shuttles are particularly suited for adaptive and responsive public transport for the first and last mile, connecting with smart infrastructure to enhance urban transit. This paper presents the concept, implementation, and evaluation of a proof-of-concept deployment of an autonomous shuttle integrated with smart infrastructure at a public fair. The infrastructure includes two perception-equipped bus stops and a connected pedestrian intersection, all linked through a central communication and control hub. Our key contributions include the development of a comprehensive system architecture for "smart" bus stops, the integration of multiple urban locations into a cohesive smart transport ecosystem, and the creation of adaptive shuttle behavior for automated driving. Additionally, we publish an open source dataset and a Vehicle-to-X (V2X) driver to support further research. Finally, we offer an outlook on future research directions and potential expansions of the demonstrated technologies and concepts.

Digital twins (DTs) have emerged as a promising enabler for representing the real-time states of physical worlds and realizing self-sustaining systems. In practice, DTs of physical devices, such as mobile users (MUs), are commonly deployed in multi-access edge computing (MEC) networks for the sake of reducing latency. To ensure the accuracy and fidelity of DTs, it is essential for MUs to regularly synchronize their status with their DTs. However, MU mobility introduces significant challenges to DT synchronization. Firstly, MU mobility triggers DT migration which could cause synchronization failures. Secondly, MUs require frequent synchronization with their DTs to ensure DT fidelity. Nonetheless, DT migration among MEC servers, caused by MU mobility, may occur infrequently. Accordingly, we propose a two-timescale DT synchronization and migration framework with reliability consideration by establishing a non-convex stochastic problem to minimize the long-term average energy consumption of MUs. We use Lyapunov theory to convert the reliability constraints and reformulate the new problem as a partially observable Markov decision-making process (POMDP). Furthermore, we develop a heterogeneous agent proximal policy optimization with Beta distribution (Beta-HAPPO) method to solve it. Numerical results show that our proposed Beta-HAPPO method achieves significant improvements in energy savings when compared with other benchmarks.

Apple's most anticipated iOS update yet will launch in just a few weeks. But if you're already dying to know what cool new features will come with iOS 18 - you're in luck. Content creator and former Apple Sales Specialist Tyler Morgan downloaded the beta version of iOS 18 and posted a TikTok revealing his favorite features. 'The update is great,' he wrote in the video caption. The update is packed with a bunch of new AI-powered features, like the ability to create custom emojis - or'Genmojis' - intelligent writing tools, and big upgrades to Siri.

Controllable text generation (CTG) seeks to craft texts adhering to specific attributes, traditionally employing learning-based techniques such as training, fine-tuning, or prefix-tuning with attribute-specific datasets. These approaches, while effective, demand extensive computational and data resources. In contrast, some proposed learning-free alternatives circumvent learning but often yield inferior results, exemplifying the fundamental machine learning trade-off between computational expense and model efficacy. To overcome these limitations, we propose FreeCtrl, a learning-free approach that dynamically adjusts the weights of selected feedforward neural network (FFN) vectors to steer the outputs of large language models (LLMs). FreeCtrl hinges on the principle that the weights of different FFN vectors influence the likelihood of different tokens appearing in the output. By identifying and adaptively adjusting the weights of attribute-related FFN vectors, FreeCtrl can control the output likelihood of attribute keywords in the generated content. Extensive experiments on single- and multi-attribute control reveal that the learning-free FreeCtrl outperforms other learning-free and learning-based methods, successfully resolving the dilemma between learning costs and model performance.

While Apple's new AI features might have been centre stage at WWDC, the company also introduced several major changes to the iPhone's operating system. Due to launch in autumn this year, iOS 18 is set to give Apple users even more options to customise their devices. But from the ability to lock or hide apps to new ways to send messages, some of these features have left Apple fans divided. While some tech fans have praised the'mind boggling' new tools, others say they will make cheating in relationships easier. One commenter on X, formerly Twitter, even wrote: 'The new Apple iOS is designed purely for cheating'.