Credits : Mysanantonio

  • Apple is rolling out an update to iOS 12 that contains a fix for charging issues.
  • Some people had reported that their new iPhone wouldn’t start charging unless they woke the display or disconnected and reconnected the Lightning charging cable.
  • The update should now be available for most — if not all — iPhone users.
Apple is rolling out an update for iOS 12 devices on Monday that contains a fix for a charging issue reported on social media and support forums by several iPhone XS and XS Max users.

Apple says the update “fixes an issue where some iPhone XS devices did not immediately charge when connected to a Lightning cable.”

These new models wouldn’t start charging if their screen was sleeping or turned off — the only way to get the iPhone to start charging was to wake the display or to unplug and replug the Lightning cable.

Lewis Hilsenteger, a popular tech YouTube creator with the Unbox Therapy channel, recently posted a video where he found that several of the nine iPhones he tested had charging issues.

The issue was problematic for some people who would plug in their new iPhone to charge overnight, only to wake up to a phone with a depleted battery.

The fix in the iOS 12 update is the only acknowledgment of the issue from Apple. It comes three weeks after it released the new iPhones.

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Credits : Nanowerk

Ames Laboratory scientist Mark Gordon, also the Francis M. Craig Distinguished Professor of Chemistry at Iowa State University, will lead the laboratory’s project. Old Dominion University, Georgia Institute of Technology, Virginia Tech, and EP Analytics are named as partner institutions in the effort.

The scientific inspiration behind the project, said Gordon, is mesoporous nanoparticles, an area of expertise for the laboratory’s Division Chemical and Biological Sciences. Full of tiny hollow cylinders called pores, they create vast surface area in a small amount of space for active sites to speed the rate of chemical reactions, called catalysis. They are a platform that can be modified for a wide variety of applications such as alternative fuels, biosensing, thermal energy storage, and more.
“Understanding these reactions is the key to customizing and expanding their potential applications,” said Gordon.
Currently, computational chemistry experts use the fragment molecular orbital method (FMO) a type of problem-solving approach that breaks complex model systems down into smaller and simpler tasks that take less time to compute. But too much simplification in a complex system leads to errors in predicting reaction mechanisms.
To solve these shortcomings and to scale software capabilities to the billion billion calculations per second that exascale computing will provide, likely early in the next decade, Ames Laboratory and its partners will improve an existing free-ware program called GAMESS, (General Atomic and Molecular Electronic Structure System). The software was developed by Gordon, members of his research group, and the computational chemistry global research community.
“Experimentalists want to understand what is happening in these pores, which are two to four nanometers wide,” said Gordon. “The number of calculations required to predict the molecular dynamics of these reactions expand exponentially with their complexity. Right now, they just aren’t feasible to do. Exascale computing will change all that.”
The project is part of a larger, $21.6 million effort funded by the U.S. Department of Energy to develop advanced software for the design of new chemicals and chemical processes for energy production and a range of other potential applications.
A key aim of the projects is to take fuller advantage of the nation’s most advanced computers, including so-called “petascale” machines currently deployed at DOE national laboratories—such as Summit at Oak Ridge National Laboratory, recently ranked fastest in the world—and the still faster “exascale” machines expected to be deployed beginning early in the next decade. Petascale machines are capable of at least one quadrillion (1015) calculations per second, while exascale machines, the first scheduled for deployment at Argonne National Laboratory in 2021, will be capable of at least one quintillion (1018) calculations.

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Credits : Adweek


When it comes to understanding how exactly people browse the web, the eyes don’t lie.

At least that’s the premise of an increasingly popular practice among web designers and advertisers: the use of biometric technology to track and test consumer’s eyes as they roam around a screen.

Proponents say these devices, which range from infrared sensors to headsets, can circumvent biases inherent to surveys and focus groups and capture nuances people don’t think to report. But some also claim expensive costs and overcomplicated systems are holding back adoption.

That’s why Swedish eye-tracking firm Tobii Pro released a web app this week designed to make its monitor attachment sensor much easier and more cost-effective for website designers to use. The device projects near-infrared light to trace the movement of a test subject’s eyes around a screen and display it on a remote computer in real-time. It’s marketed to brands as a way to fine-tune their online experiences by pinpointing user stumbling blocks and providing more context for surveys and focus groups.

“The value here is that we’re able to quickly and efficiently deliver eye-tracking qualitative insights for usability researchers that may not be using eye-tracking, aren’t familiar with eye-tracking, may have wanted to do eye-tracking in the past but it was too time-consuming or too expensive,” said Tobii marketing manager Joe Goldberg.

Tobii employs a range of more intensive hardware like virtual reality headsets and electrode armbands with robust software packages to match. But its latest offering, called Sprint, strips the tech down to its essentials—participants need only a thin bar device that attaches to the bottom of their screen and internet access.

The company says the official customers for the new app include the Swedish bank Avanza, an IT management service called Knowit and a consultancy called Claremont. H&M also said in a statement accompanying the announcement that Tobii plays a key role in its web design process.

“Sharing the objective insights in session recordings allows us to quickly convince team members and stakeholders of needed design decisions that have previously been challenging to prove,” said Liang Hiah, UX lead, H&M.

A typical session with the technology usually involves a moderator guiding the test subject through various actions on a web page, perhaps asking questions along the way to better understand why they are looking at a particular part of the screen.

Goldberg said the eye-tracking element can catch nuances about the user experience that more traditional surveys miss. For instance, the client can tell whether a participant saw a button and chose not to interact with it, whereas without the tech, one might just assume that it went unnoticed.

“One issue with self-reporting is that a lot of times, users don’t really remember what they’ve done or they may not recall correctly what has happened in a session,” Goldberg said.

A recent report from the Market Research Engine projected the eye-tracking tech space to grow about 27 percent per year through 2022, at which point it will be worth around $1.4 billion. As data analysis and biometric measurement technology improves, companies are increasingly turning to tests like eye-tracking or brain electricity monitoring as a more objective gauge to either supplement or replace traditional focus groups.

Pamela Marsh, managing director of primary research at Omnicom Media Group, said eye-tracking and other biometric tools have played an increasingly important role in the design process for new ad formats as well as other consumer research functions within the agency.

“Biometric research was so meaningful that it’s actually driving change in how we’re advising clients to connect with consumers,” Marsh said. “Before this, we could’ve deduced insights or come up with implications based on other data. But then all of a sudden, when we were able to utilize different biometric measures, we were like, ‘wow this is truly what people are thinking or doing.’”

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