After months of anticipation, Apple has finally unveiled its next major iPhone update - iOS 26. The design overhaul, announced at Apple's Worldwide Developer Conference (WWDC), brings translucent, glass-like effects to app icons, the lock screen, and home screen. Craig Federighi, Apple's senior vice president of Software Engineering, described this so-called'Liquid Glass Design' as'gorgeous'. However, it hasn't gone down well on social media, where users have dubbed the glass-like elements as ugly and difficult to use. 'Liquid Glass Design is the ugliest thing Apple has ever done!' one user vented.

Craig Federighi's opening remarks were nearly derailed by a protester who snuck into WWDC 2025 Monday afternoon. It's not clear what the protester said while they tried to interrupt Federighi's presentation of iOS 26, CNBC reported. Several major technology events have been interrupted by protests recently, most of which supported Hamas and protested the tech industry's business ties to the Israeli government. Apple CEO Tim Cook closed out Monday presentation of the company's new operating system by announcing that iOS 26 is now available to developers for Beta testing today. That means a pre-release version of the iOS 26 operating system for iPhones is now accessible for registered Apple developers to test.

Get Apple's all-new MacBook Air, iPad Air and Mac Studio (Apple) March has already been a busy month for Apple, which unveiled a handful of new editions to its most popular products in the last week. Apple fans can now get a new version of the MacBook Air and the iPad Air, both with brand-new, high-powered chips for a faster user experience. The company also announced its most powerful Mac ever, the Mac Studio. MacBook fans can get the newest MacBook Air with an M4 chip. The chip makes all the tasks users complete on their laptop faster and more efficient.

Google, Meta, and Microsoft, as well as startups like OpenAI and Anthropic, all had well-developed strategies for generative AI by the time Apple finally announced its own push this June. Conventional wisdom suggested this entrance was unfashionably late. Its leaders say the company is arriving just in time--and that it's been stealthily preparing for this moment for years. That's part of the message I got from speaking with key Apple executives this fall about how they created what is now called Apple Intelligence. Senior vice president for software engineering Craig Federighi is a familiar character in an ongoing web series in the tech world known as keynote product launches.

Designing microchips is among the most complex tasks in the digital world. It requires vast amounts of theoretical and practical knowledge, as well as a heaping dose of creativity. There are components to select, layouts to consider, and complex software models to understand. It is safe to say that squeezing millions or billions of circuits onto a tiny silicon wafer to eke out maximum performance with minimal energy consumption pushes up against the limits of human ingenuity. Design and engineering teams increasingly are turning to both classical AI and generative AI to rethink, reinvent, and remake the modern microchip.

Apple has a history of succeeding despite being late to market so many times before: the iPhone, the Apple Watch, AirPods, to name a few cases. Now the company hopes to show that the same approach will work with generative artificial intelligence, announcing today an Apple Intelligence initiative that bakes the technology into just about every device and application Apple offers. Apple unveiled its long-awaited AI strategy at the company's Worldwide Developer Conference (WWDC) today. "This is a moment we've been working towards for a long time," said Apple CEO Tim Cook at the event. "We're tremendously excited about the power of generating models."

Today, we are excited to announce that GPT-4 is available in preview in Azure OpenAI Service. Customers and partners already using Azure OpenAI Service can join the waitlist to access GPT-4 and start building with OpenAI’s most advanced model yet. With this milestone, we are proud to bring the world’s most advanced AI models—including GPT-3.5, ChatGPT, and DALL•E 2—to Azure customers, backed by Azure AI-optimized infrastructure, enterprise-readiness, compliance, data security, and privacy controls, along with many integrations with other Azure services.

Palo Alto Networks announced new capabilities to boost its single-vendor SASE solution enabling organizations to automate their increasingly complex IT and network operations center (NOC) functions. Additionally, the company announced features to secure IoT and automate branch management. With new AI-powered capabilities, organizations can confidently rely on Prisma SASE to generate better security outcomes and unlock operational efficiencies. According to the Gartner 2022 Roadmap for SASE Convergence report1, by 2025, 80% of enterprises will have adopted a strategy to unify web, cloud services and private application access using a SASE/SSE architecture, up from 20% in 2021. "With so many organizations adopting SASE, it is important to understand that in order to reap the full benefits, they need to move towards a single-vendor SASE approach. A mix-and-match approach increases complexity and makes it challenging to be proactive or isolate issues," said Kumar Ramachandran, senior vice president for Products, SASE.

This article is a continuation of Broadcom's blog series: 2023 Tech Trends That Transform IT. Stay tuned for future blogs that dive into the technology behind these trends from more of Broadcom's industry-leading experts. It is clear that artificial intelligence, machine learning, and automation have been growing exponentially in use--across almost everything from smart consumer devices to robotics to cybersecurity to semiconductors. In 2023, there is no doubt that artificial intelligence and automation will permeate every aspect of our lives. As Michael Dell predicts, "Building systems that are built for AI first is really inevitable."

Weatherford International signed a multiyear agreement with artificial-intelligence (AI) company DataRobot to deliver advanced AI in its digital platforms, including the ForeSite production optimization and Centro well construction platforms. By forging this new relationship with DataRobot, Weatherford plans to accelerate the development of machine learning (ML) and AI-enabled offerings within its digital solutions portfolio to deliver innovative technologies to the market. Providing an integrated solution combining physics-based and AI models at scale enables understanding and leveraging large quantities of data from every corner of an asset to improve operations performance. "We began our Industry 4.0 journey in 2017 by introducing our first AI/ML-based modules in our software platforms," said Matt Foder, Weatherford's senior vice president of innovation and new energy. "This agreement with DataRobot adds a solid foundation to operationalize and scale these modules and those of our customers, providing incremental value across the energy industry space. This collaborative innovation is aligned with our promise of delivering open and flexible digital platforms to our users."