Author: Admin

Environment: iPhone 13 Pro, iOS 26.5. Affects a single user out of many; cannot reproduce on any of our test devices. We use HKStatisticsCollectionQuery to read step counts for a statistics screen. For one specific user, the query’s initialResultsHandler appears to deliver results == nil (the success branch never runs), so our completion is never called and the screen shows an infinite spinner. func getDayHourlySteps(currentDay: Date, completion: @escaping ([HKStatistics]) -> Void) { let anchorComponents = Calendar.current.dateComponents([.day, .month, .year, .hour], from: currentDay) let anchorDate = Calendar.current.date(from: anchorComponents)! var interval = DateComponents(); interval.hour = 1 let manualPredicate = NSPredicate(format: “metadata.%K != YES”,…

Data centers and AI (artificial intelligence) are fueling one of the largest infrastructure shifts we have seen in decades. While much of the conversation centers on computing power and innovation, a bigger story is emerging behind the scenes—one that involves electricity, water, and the critical infrastructure needed to support the evolution of technology. The reality is simple: Data centers are growing at an unprecedented pace, and our infrastructure systems must evolve just as quickly. Easier said than done, right? Recent research from Gartner highlights the magnitude of the challenge. Global data center electricity consumption is expected to reach 565 terawatt-hours…

What you need to knowT-Mobile’s newest Member Month perk is a $60 limited-edition Umbro soccer jersey available through the T-Life app starting July 7.The jersey is an original Umbro x T-Mobile design, not tied to any club or national team.Existing T-Life perks aren’t going anywhere, so the Umbro collaboration is an extra option rather than a replacement.T-Mobile has been giving away everything from fuel discounts to entertainment perks for the past month, but its latest Member Month reward is taking a very different approach. Instead of another free giveaway, the carrier is joining in on soccer culture with an exclusive…

Object Oriented Programming (OOP) is a programming paradigm that is the cornerstone of modern software development. While OOP isn’t the only programming paradigm that exists, I would argue it is the most important to have a firm foundation of, and when used correctly, can lead to stronger and more robust software. But what is OOP and how can you make sure to understand it well? Let’s explore.High LevelAt a high level, in OOP there are 3 main pillars to understand for getting OOP down:Encapsulation with classesInheritancePolymorphism (the most important by far)EncapsulationEncapsulation is the ability to enclose data that describes the object and the functions…

Using excess electricity from grid bottlenecks offers a promising cost reduction pathway, though uncertainty and pricing risks remain Green energy concept (Courtesy: Shutterstock/Lucky Stepeps) Electricity grids need to be carefully balanced, with too low levels of electricity leading to blackouts and too high levels causing damage to grids. Due to the intermittent nature of renewable energy sources such as solar and wind, it is possible for specific regions (e.g. the north of Germany) to have an excess of electricity, while the power lines do not have enough capacity to transport it to higher demand regions such as cities and industrial…

Artificial Intelligence (AI) has advanced, but value realization has not  Over the past decade, insurers have steadily built the foundations for more intelligent enterprises. Modernized core systems have improved data integrity, advanced analytics have strengthened risk selection and pricing, and more recently, generative AI has accelerated how information is processed, summarized, and communicated across underwriting, claims, and servicing workflows. While the ingredients to transform workflows appear to be in place, enterprise-level value realization remains uneven.  AI is delivering measurable efficiency gains, but translating those gains into sustained operational impact remains a challenge. Work still slows at critical points in the workflow. Teams generate insights and make operational decisions, but those decisions are not always executed with the same speed, consistency, or control. The constraint is no longer intelligence; it is execution.  Insurers are encountering a structural gap between insight generation and execution within live workflows that becomes more pronounced as…

Featured Podcasts Big Technology Podcast: OpenAI’s Plan To Merge Chat And Agents — With Greg Brockman The Big Technology Podcast takes you behind the scenes in the tech world featuring interviews with plugged-in insiders and outside agitators. Subscribe to Big Technology Podcast. Channels with Peter Kafka: Encore: Inside Joe Weisenthal’s brain Media and tech aren’t just intersecting – they’re fully intertwined. To understand how those worlds work, Peter Kafka talks to industry leaders, upstarts and observers. Subscribe to Channels with Peter Kafka. The Talk Show With John Gruber: ‘Taking Drugs to Get Fat’, With John Moltz The director’s commentary track…

Every AI query, every model training run, every real-time inference request has to happen somewhere. That somewhere is a data center—and the explosive growth of artificial intelligence is pushing data center infrastructure to its limits.

Researchers led by the Institute of Cosmos Sciences of the University of Barcelona (ICCUB) have developed a new technique that could greatly improve how scientists study the expansion of the Universe and investigate the mysterious force known as dark energy. Published in Nature Astronomy, the research introduces a framework called CIGaRS that can extract far more information from Type Ia supernovae, the powerful stellar explosions used to measure vast cosmic distances. Unlike many current approaches, the method relies mainly on imaging data rather than expensive spectroscopic observations. The advance is expected to help astronomers take full advantage of the enormous…

Demand forecasting has always been at the center of retail and CPG planning. It shapes inventory decisions, informs production schedules, drives trade promotion investment, and sets the conditions for every S&OP conversation that follows. When the forecast is wrong, costs accumulate quickly, leading to stockouts, excess inventory, margin erosion, and downstream disruption that ripples through the supply chain and commercial teams alike.What has changed in recent years is not the importance of the forecast. It is the degree of difficulty.The Complexity Problem Has Outpaced the ToolsA decade ago, a demand planner working with a few thousand SKUs across a handful…