Apple’s native Camera app in iOS 11 has plenty of tools for helping you get the right shot, but some are more hidden than others. The camera level is the perfect example of a really handy tool that many users don’t even know exists, mainly because it’s part of a feature that’s turned off by default.
If you tend to take a lot of photos from an overhead point of view, like a picture of a meal on a table, or an object lying on the floor, then you’ll want to use the camera level, as it helps you capture a balanced shot without having to use a tripod arm or mount. It’s also useful for taking shots of scenes directly above you, such as in the sky or on the ceiling.
CRISPR gene editing has been making waves over the last few years, and it’s showing no signs of stopping. It’s expected to transform our lives in many ways; everything from correcting genes to creating healthier food.
In April 2017, a team of researchers from various universities, including the Broad Institute, MIT, and Harvard, debuted a CRISPR-based diagnostic tool. The tool enabled them to perform a number of diagnostic tasks, like identifying cancerous mutations and detecting viruses through genetic samples, such as saliva, blood, and urine.
The team has been working to improve their diagnostic tool, named SHERLOCK (Specific High-sensitivity Enzymatic Reporter unLOCKing), over the last 10 months. The team debuted the new and improved SHERLOCK in their research published this week in the journal Science.The latest version of the tool has better sensitivity and can quantify the amount of the virus or mutation in the sample. Even with the improvements, the team’s research demonstrated that they were able to maintain the original version’s rapid performance and inexpensive cost.
Both versions of SHERLOCK utilize a CRISPR-associated protein called Cas13. This protein can be programmed to target a specific part of DNA or RNA — be it a viral genome, genes that help bacteria become antibiotic-resistant, or those aforementioned cancerous mutations. Once targeted, Cas13 can cut that specific piece — which can sometimes cause the target to cut other nearby DNA or RNA segments.
SHERLOCK uses strands of synthetic RNA to create a signal after it’s cut. Cas13 will chop up this RNA after cutting its original target, releasing the signaling molecule. The end result is a reading that informs the user whether or not the initial target is still present.
Previously, SHERLOCK could only identify one genetic sequence at a time. The new version can identify multiple sequences, and doesn’t need as much of a genetic sample to do so.
“With the original SHERLOCK, we were detecting a single molecule in [one-millionth of a liter], but now we can achieve 100-fold greater sensitivity,” said Omar Abudayyeh, co-first author on the research, and an MIT graduate student at Broad Institute, in a statement. “That’s especially important for applications like detecting cell-free tumor DNA in blood samples, where the concentration of your target might be extremely low. This next generation of features helps make SHERLOCK a more precise system.”
In addition to the improvements made to SHERLOCK, the team has also developed a paper test that allows diagnostic results to be seen with the naked eye. The test uses visual cues similar to those seen in pregnancy tests. When a line appears in the SHERLOCK test, it signifies whether or not the target was detected.
Though new-and-improved, SHERLOCK isn’t ready for the real world just yet. Though Feng Zhang, senior author of the research, and a core institute member at the Broad Institute, believes the tool’s latest improvements have pushed it one step closer to practical applications — which could include a lot more than detecting mutations and viruses.
“[SHERLOCK] demonstrates potential for many healthcare applications, including diagnosing infections in patients and detecting mutations that confer drug resistance or cause cancer, but it can also be used for industrial and agricultural applications where monitoring steps along the supply chain can reduce waste and improve safety,” added Zhang.
Eggplant AI software testing tool mimics user interactions to find faults in new software.
A new artificial intelligence tool could cut down on the time it takes to find bugs in applications, claims its maker.
Eggplant AI 2.0 uses AI, machine learning, and analytics to navigate applications and predict where quality issues are likely to arise. The resulting data helps product teams to identify and resolve problems quickly.
Testing times for developers
According to its maker, digital automation specialist Testplant, testing an app is “an impossibly large task”.
The company claims that there are an infinite number of ways a user can navigate through an app, which is why test teams cover “less than one percent” of possible user journeys. As a result, most apps go live with defects.
“Until now, test teams had to estimate where issues were most likely to be, then manually create automated scripts to test those user journeys,” said the company.
Eggplant AI auto-generates those tests, which “significantly increases the effectiveness and efficiency of testing”.
In any continuous development environment, some tests will become standardised and repetitive. In most cases, developers ‘smoke test’ those user journeys, regardless of how likely they are to find defects.
According to Testplant, Eggplant AI enables testers to define these ‘directed’ tests , as well as combine manually defined regression tests with advanced AI-based simulations.
Antony Edwards, CTO at Testplant, said that only companies that embrace intelligent test automation will be able to satisfy customer demands for new, and better, apps.
“Eggplant AI 2.0 is a huge leap forward in the evolution of test automation. This is the only way software and app vendors are going to keep up with the demands of users and the pace of DevOps,” he said.
Internet of Business says
As many organisations merge traditional back-end IT with customer-facing app development, the DevOps environment is becoming more and more critical to meeting strategic business goals.
Just as companies can succeed faster with smart digital programmes – moving swiftly to capture new market opportunities – so they can fail faster, too, if buggy apps are rushed to market. In a connected world, that failure may take place in full view of the public.
AI isn’t just something that can reveal new connections in data resources, or provide more personal service; it can also help organisations to help themselves.
Facebook will be launching its subscription service tool on iOS beginning March 1. The social networking giant had introduced a way for publishers to sell their subscription to readers directly through Facebook in October last year. However, Apple and Facebook could not strike a deal on this due to which the subscription service was not released for iPhone and iPad users. Continue reading → iPhone Hacks | #1 iPhone, iPad, iOS Blog