Os corajosos que instalaram as versões beta do iOS 27, do iPadOS 27 e do macOS Golden Gate 27 certamente devem ter notado um aviso no topo do aplicativo Ajustes (Settings) sobre uma indexação do Spotlight em andamento.

Isso ocorre porque o Spotlight indexa o conteúdo do seu dispositivo para que seja possível pesquisar tudo o que está nele.

No caso de uma atualização de software (como as betas), o índice do Spotlight é atualizado quando você instala novos aplicativos ou recebe novos emails e mensagens de texto, por exemplo.

Usando truques simples — nem sempre bem-vindos, é verdade —, é possível acelerar o processo de indexação (que pode levar horas ou dias, dependendo da quantidade de conteúdos). Veja como! 😉

1. Deixe o seu dispositivo sem uso, ou seja, de forma que você fique um tempo sem mexê-lo;
2. Conecte o iPhone, iPad ou Mac à energia;
3. Conecte o aparelho à internet usando uma rede Wi-Fi ou Ethernet, caso os emails ou outros dados precisem ser baixados para a indexação.

A Apple afirma que é possível que sejam vistos, durante esse processo de indexação, alertas como:

• Um indicador de progresso na parte superior da janela do Spotlight ou da Siri no Mac, que é aberto quando você pressiona a combinação ⌘ command barra de espaço;
• Uma notificação abaixo do seu nome nos Ajustes do iPhone ou iPad;
• Um alerta do Mail de que a indexação está incompleta.

Como está o progresso aí para você?

Apple has officially introduced the Apple Watch Series 12, bringing a new health-sensing system, higher-frequency heart-rate monitoring, the S11 chip, sleep analysis, fitness features, and 5G connectivity to its latest smartwatch lineup.

The new model was unveiled during Apple’s latest product event alongside the iPhone 18 series. In China, the Apple Watch Series 12 starts at 2,999 yuan for the aluminum version. Titanium models start at 5,799 yuan, while the ceramic version starts at 7,499 yuan. Buyers can choose between GPS and GPS + Cellular configurations across the range.

Apple Watch Series 12 Introduces a New Health-Sensing System

Health tracking is one of the biggest areas of focus for the Apple Watch Series 12. Apple says the smartwatch introduces a new-generation health-sensing system designed to collect physiological data more frequently.

The watch can reportedly record heart-rate data in the background every five seconds, while heart-rate variability (HRV) is measured every five minutes. Apple describes this as a major step forward in its heart-rate sensing capabilities.

The updated system is also paired with a redesigned Heart Rate app, while new watch-face complications make key health measurements easier to access without opening a separate application.

For users who regularly monitor their activity and recovery, the increased sampling frequency could provide a more detailed picture of changes throughout the day.

New Readiness Index Helps Put Health Data Into Context

Apple Watch Series 12 also introduces a Readiness Index, which is designed to turn several health and activity measurements into an easier-to-understand daily score.

Rather than looking at individual numbers separately, the feature considers factors such as recent activity, vital signs, and sleep. It then provides an overall indication of how prepared the user may be for the day ahead.

The score can also change as daily activity develops. This means the feature is intended to provide a more dynamic view of the user’s condition instead of treating the morning assessment as a fixed result.

For someone balancing workouts with a busy schedule, the idea is to provide a quick reference for deciding whether to push harder, maintain the current pace, or prioritize recovery.

Sleep Tracking Goes Beyond Total Hours

Sleep monitoring is another major part of the Apple Watch Series 12’s health features.

The watch tracks several aspects of sleep rather than focusing only on how long the user remains in bed. These measurements include sleep duration, bedtime consistency, nighttime awakenings, and the amount of time spent in different sleep stages.

After waking, users can view a sleep score based on these factors. The score also provides information about what contributed to the result, giving users a clearer way to understand their sleeping patterns.

This approach makes the sleep feature less about a single number and more about identifying habits that could influence recovery and overall daily performance.

More Detailed Fitness Tracking

Apple has also upgraded the fitness experience on the Series 12.

The smartwatch is designed to provide more accurate step counting and keep users better informed about training progress. Additional workout metrics give users more information while exercising, making it easier to follow performance over time.

Combined with the new Readiness Index, these fitness features connect activity data with broader health and recovery information. Instead of treating exercise tracking as an isolated function, Apple is increasingly using the watch as a central dashboard for everyday wellness data.

5G Connectivity Adds More Independence From the iPhone

Another notable addition is 5G connectivity.

With cellular connectivity, Apple Watch Series 12 can handle tasks such as making calls, sending messages, and streaming music without always relying on an iPhone being nearby.

This could make the cellular version particularly useful during outdoor workouts or situations where carrying a smartphone is inconvenient.

The watch also retains Apple’s safety-oriented functions, including Fall Detection and emergency communication features. These capabilities are designed to help users contact assistance in urgent situations, even when their iPhone is not immediately available.

Apple Watch Series 12 Pricing and Availability

In China, the Apple Watch Series 12 is priced from 2,999 yuan for the aluminum model. The titanium version starts at 5,799 yuan, while the ceramic model starts at 7,499 yuan.

All three material options are available with GPS or GPS + Cellular configurations.

The combination of a new health-sensing system, more frequent heart-rate measurements, sleep analysis, fitness tracking, 5G connectivity, and safety functions makes the Series 12 a substantial update to Apple’s smartwatch lineup.

What Makes Apple Watch Series 12 Different?

Apple Watch Series 12 is not built around one isolated hardware upgrade. Instead, Apple has focused on connecting health monitoring, fitness data, sleep analysis, connectivity, and safety features into a more comprehensive smartwatch experience.

The new health-sensing system is arguably the most significant change because it increases the amount of physiological data the watch can collect throughout the day. Features such as the Readiness Index then attempt to turn that information into something users can understand and act on.

With multiple case materials, cellular connectivity, and an expanded set of health and fitness functions, the Series 12 continues Apple’s strategy of positioning the Apple Watch as more than a conventional notification and fitness device.

The post Apple Watch Series 12 Launches With New Health Sensors and 5G Connectivity appeared first on IGeeKphone China Phone, Tablet PC, VR, RC Drone News, Reviews.

Inde Navarrette is lining up her next high-profile film after “Obsession” and Marvel’s “X-Men.” She will star in “The Waffle House Index,” a sci-fi thriller acquired by Apple Original Films. The project also marks her first turn as an executive producer.

Plan B Entertainment is producing. Andrew Nunnelly wrote the screenplay, a 2025 Black List title that sources say sold in a seven-figure deal, according to THR. Louis Paxton, whose Sundance NEXT Innovator Award-winning “The Incomer” arrives in theaters later this month, is attached to direct.

The title borrows a real-world shorthand for hurricane damage. Because Waffle House restaurants typically stay open around the clock, emergency officials use the chain as an informal gauge: green means full service and limited disruption; yellow means a reduced menu and strained supplies; red means the restaurant is closed and conditions are unsafe.

Nunnelly’s story begins closer to the diner floor. A Waffle House waitress is already having a rough night when a stranger with a gun walks in. From there the plot escalates into a mass flood, killer crocodiles, a nuclear explosion, a magical bunker beneath the restaurant, and aliens.

The film adds to Plan B’s relationship with Apple. The company, led by Brad Pitt, Dede Gardner, and Jeremy Kleiner, was among the producers of the racing drama “F1.” Plan B recently made the horror film “Teenage Sex and Death at Camp Miasma” and is preparing Sarah Polley’s “The Bell Jar.”

Navarrette’s breakout in Curry Barker’s “Obsession” has turned her into one of Hollywood’s most in-demand young stars. The film has grossed more than $505 million worldwide, drawn strong reviews, and spilled into pop culture, including a “Halloween Horror Nights” presence at Universal Studios. Oscar talk has followed her performance. She is also set to play Rogue in Marvel’s upcoming X-Men movie. Earlier credits include Netflix’s “13 Reasons Why” and The CW’s “Superman & Lois.” A source described the Apple deal as a measure of how large her profile has become at a studio built around stars.

Navarrette is represented by CAA, Untitled Entertainment, and Hansen Jacobson. Nunnelly is represented by Buchwald, Untitled, and Hansen Jacobson. Paxton is represented by CAA and Independent Talent.

MacDailyNews Note: Apple TV is available on the Apple TV app in over 100 countries and regions, on over 1 billion screens, including iPhone, iPad, Apple TV 4K, Apple Vision Pro, Mac, popular smart TVs from Samsung, LG, Sony, VIZIO, TCL and others, Roku and Amazon Fire TV devices, Chromecast with Google TV, PlayStation and Xbox gaming consoles, and at tv.apple.com, for $14.99 per month with a seven-day free trial for new subscribers. For a limited time, customers who purchase and activate a new iPhone, iPad, Apple TV 4K or Mac can enjoy three months of Apple TV for free.

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The post Inde Navarrette to star in Apple Original Films sci-fi thriller ‘The Waffle House Index’ appeared first on MacDailyNews.

It feels bad enough when an open letter signed by leading economists warns that AI might steal your job. The fact it may soon be better than you at making dinner? Insult to injury. But that’s exactly what the company 1X promised when it showed off a pair of new, impressively dexterous (and, to some, oddly sexy?) robotic hands in a July demo.

While the tech community was sharply divided over the appeal of those disembodied hands, almost everyone can agree that a few things are decidedly not sexy: Grok’s porn-pilled translation feature, Meta’s creepy glasses (which may soon get even creepier), and Big Tech’s emissions (which continue to skyrocket). 

But while it’s not always the most popular technology, at least AI is paying off for one group: single chip workers in Korea, newly inundated with dating opportunities thanks to their giant bonuses. Who says you can’t buy love?

The U.S. Bureau of Labor Statistics (BLS) released its Producer Price Index (PPI) data for June 2026 today, showing a 0.3% decline in the index for final demand on a seasonally adjusted basis. This marks a reversal from the 0.6% rise in May and the stronger 1.1% increase in April. U.S. inflation is coming down.

On a year-over-year basis, producer prices rose 5.5% through June, down from the recent peak of 6.5% in May. This moderation comes amid cooling energy prices and could provide some relief to businesses and consumers facing persistent inflationary pressures.

Key Breakdowns from the June Report

• Goods prices led the decline, falling 1.4% in June — the largest drop since July 2022. Energy prices plunged 6.4%, with gasoline down 12.0%, diesel fuel, jet fuel, and crude petroleum also posting notable decreases.

• Food prices for final demand edged down 0.6%.

• Goods less foods and energy (a core measure) actually rose modestly by 0.2%.

• Services prices increased 0.2%, supported by gains in trade services margins (up 0.4%), including a sharp 13.0% jump in fuels and lubricants retailing. Transportation and warehousing services dipped slightly by 0.1%.

The index for final demand less foods, energy, and trade services — often watched as a core gauge — rose just 0.1% in June after a stronger 0.8% gain in May. Year-over-year, this core measure increased 5.1%.

What’s Driving the Decline?

The drop aligns with falling global oil prices in recent weeks, which have rippled through the supply chain. Energy categories, which had fueled earlier PPI gains (notably from Middle East tensions boosting costs earlier in the year), reversed course. This pullback in wholesale prices could eventually feed into lower consumer prices in the coming months, though services inflation remains sticky.

Implications for the Federal Reserve and Markets

This softer-than-expected PPI reading arrives on the same day as other inflation data and comes as the Fed monitors progress toward its 2% target. While headline producer inflation has cooled from its recent highs, the year-over-year figure remains elevated compared to pre-pandemic norms. Policymakers will likely view the energy-driven decline positively, but persistent services and core pressures suggest caution on rate cuts.

For businesses, lower input costs (especially energy) could help margins. Consumers may see relief at the pump and eventually in goods prices, though everyday services like healthcare, housing-related costs, and certain retail margins continue to trend upward.

Looking Ahead

The June PPI data suggests inflation is not accelerating, but the path to sustainably lower levels remains uneven. Markets will now turn to upcoming CPI releases and other indicators for a fuller picture. Keep an eye on energy markets — any rebound in oil prices could quickly reverse these gains.

Combined with yesterday’s CPI data decline (see below), the PPI data supports a story of disinflation under the Trump administration. This is likely helpful to Republicans heading into the midterm elections, as voters generally reward perceived economic competence.

U.S. CPI data (July 14, 2026) showed a notable decline:

• Monthly change: -0.4% (biggest monthly drop since April 2020)
• Annual inflation rate: 3.5% (down from 4.2% in May)
• Core CPI (excluding food & energy): Unchanged (0.0%) in June, down from +0.2% in May
• Core annual rate: 2.6% (down from 2.9% in May)

This is net positive for Apple’s long-term outlook. Tech giants like Apple tend to be among the biggest winners when inflation cools enough for the Fed to cut rates without triggering a recession. Wall Street will likely view this data favorably for growth stocks like AAPL.

MacDailyNews Note: Data sourced from the U.S. Bureau of Labor Statistics Producer Price Indexes release for June 2026. All figures are seasonally adjusted unless noted.

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New research from Columbia University found that adults who cut their sleep by about 80 minutes for six weeks packed on a pound (0.45 kg) and moved less during the day.

The post Losing Even 80 Minutes of Sleep a Night Linked to Weight Gain appeared first on Sci.News: Breaking Science News.

In a groundbreaking advancement for climate-based daylight modeling, researchers Aw, Leng, and Lim have developed an innovative Principal Component Analysis (PCA)-based climatic similarity index designed specifically to enhance weather file selection criteria in tropical climates. This pioneering study, published in Scientific Reports in 2026, not only addresses the critical challenge of accurately simulating daylight conditions in regions characterized by complex tropical weather patterns but also marks a significant leap forward in climate-driven architectural and environmental modeling.

Tropical climates are notoriously difficult to model due to their inherent variability and a rich tapestry of meteorological phenomena, including high humidity, fluctuating cloud cover, intense rainfall, and dynamic solar radiation patterns. Traditional weather file selection methods often fall short in capturing this complexity, which can lead to inaccuracies when used as inputs for climate-based daylight simulations. It is precisely this gap that the PCA-based climatic similarity index aims to bridge, by offering a sophisticated, data-driven method to select representative weather files that better mirror the actual climatic nuances of tropical regions.

At the core of this new method lies Principal Component Analysis, a powerful statistical tool that reduces the dimensionality of large, multivariate datasets while preserving the most critical variances within the data. By applying PCA to a wide array of climatic variables—such as temperature, humidity, solar radiation, wind speed, and cloud cover—the researchers extracted patterns that effectively distill the complexity of tropical weather into manageable, representative components. This dimensionality reduction facilitates the identification of weather days or periods that are climatically similar, which can then be selectively employed in daylight modeling simulations to enhance their fidelity.

One of the most striking aspects of this research is its focus on tailoring the index specifically for tropical environments. Unlike temperate or arid regions, tropical climates present a unique set of challenges due to their lack of distinct seasons, diverse microclimates, and frequent convective weather events. The PCA-based similarity index developed in this study accommodates these factors by incorporating variables sensitive to the high variability and transient nature of tropical weather, thereby offering a bespoke solution rather than a one-size-fits-all approach.

Implementing this index drastically improves the selection of weather files for daylight modeling. Instead of relying on standardized Typical Meteorological Year (TMY) datasets, which might not sufficiently capture the local climatic variability, the index enables the identification of the most climatologically representative data points. Consequently, simulations built on these carefully curated datasets demonstrate markedly improved accuracy in predicting daylight performance, solar heat gains, and glare potential—parameters crucial for the optimization of building energy efficiency, occupant comfort, and environmental impact in tropical architecture.

The implications of this development extend beyond just daylight modeling. Because accurate weather file selection is foundational for a host of building performance simulations, the PCA-based climatic similarity index holds promise for applications in thermal comfort analyses, energy consumption forecasting, and even in the design of adaptive building envelopes that respond dynamically to changing climatic conditions. By improving the input data quality, the model ensures that downstream simulation outputs are more reliable and relevant to real-world scenarios.

Technically, the process begins by assembling an extensive local weather dataset comprising high-resolution meteorological measurements collected over multiple years. The researchers then preprocess the data to address missing values and normalize the variables, ensuring that the subsequent PCA accurately reflects genuine climatic patterns rather than artifacts or biases. The PCA is executed to derive principal components that quantify the dominant modes of variability in the dataset. Each weather day is then scored based on these components, facilitating clustering or similarity assessments.

The novel similarity index is computed by measuring the Euclidean distance between weather days in the principal component space, enabling the quantification of climatic resemblance. Days with the smallest distances are deemed most similar, allowing researchers and practitioners to construct weather file subsets that authentically capture the spectrum of climatic conditions typical for the region. This approach reveals weather analogues that traditional chronological or statistical selection methods might overlook.

To validate the performance of their index, the authors integrated it within a daylighting simulation framework and compared simulation outcomes using weather files selected via their method against those obtained from standard TMY and random selections. The results showed improved correlation with observed daylighting metrics, reduced simulation uncertainty, and an enhanced capacity to capture extreme weather events that significantly influence daylight availability and building performance in the tropics.

This methodological innovation also paves the way for more robust scenario-based simulations in the context of climate change. As tropical regions face increasing variability due to global warming, having a dynamic, adaptable index that can recalibrate weather file selection in response to shifting climatic baselines becomes essential. The PCA-based similarity measure offers a flexible tool to explore the impacts of future climate scenarios on daylight and building performance, supporting resilience and adaptation strategies.

Moreover, this approach is transferable to other climate-based modeling domains. While the current work focuses on daylighting, the underlying mathematical framework could be repurposed for selecting representative weather data in hydrological models, urban microclimate assessments, and even in renewable energy generation forecasting where tropical climate variability plays a critical role.

The researchers emphasize the importance of open data and algorithm transparency, ensuring that the index can be implemented in open-source simulation tools frequently used by the building performance community. This accessibility enhances the potential for widespread adoption, community-driven refinement, and integration into international building standards addressing tropical architecture.

In conclusion, Aw, Leng, and Lim’s development of a PCA-based climatic similarity index represents a vital advancement for climate-sensitive modeling in tropical regions. By refining the selection of weather files, their work promises to improve the accuracy and reliability of daylight simulations, contributing to more sustainable, comfortable, and energy-efficient building designs. As tropical cities grow rapidly and strive to meet sustainability goals, such innovative tools become invaluable for architects, engineers, and policymakers navigating the complexities of climate-responsive design.

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Subject of Research: Development of a Principal Component Analysis-based climatic similarity index for enhanced weather file selection in climate-based daylight modeling in tropical climates.

Article Title: Development of a PCA-based climatic similarity index to enhance weather file selection criteria for climate-based daylight modelling simulations in tropical climates.

Article References:
Aw, S.B., Leng, P.C. & Lim, Y.W. Development of a PCA-based climatic similarity index to enhance weather file selection criteria for climate-based daylight modelling simulations in tropical climates. Sci Rep (2026). https://doi.org/10.1038/s41598-026-58112-x

Image Credits: AI Generated

The most AI-obsessed firms are spending roughly $7,500 monthly per employee on AI, per Ramp AI Index. That's not more than an engineer's salary — yet.

Elon Musk’s rocket company, on the cusp of the largest initial public offering ever, will soon end up in index funds after rule changes by Nasdaq and other index providers.

It is one thing to say AI will change the world. It is another to expect the class of 2026 to applaud it. In fact, when former Google CEO Eric Schmidt told University of Arizona graduates that their task is to help shape AI, he was met with a resounding chorus of boos. “I can hear you,” he said, before conceding that fears about disappearing jobs and a broken future were “rational.”

This is not exactly the message one hopes to hear while sweating under a polyester gown and tallying student loan payments. Graduates have been jeering at AI pep talks at other commencements too, including ceremonies at the University of Central Florida and Middle Tennessee State University. Still, increasingly loud skepticism hasn’t stopped OpenAI from winning court cases, raising enormous sums of money, and launching new partnerships. And AI is even earning some unlikely cheerleaders: Reese Witherspoon has warned women to embrace it or be replaced by it.