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Apple is launching a new search engine aimed at ending Google (and you’re already using it)

Apple is launching a search engine aimed at destroying Google and chances are, you’re already using it. What is it and how will this impact Google?

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Apple is slowly plotting their revenge on Google

After finding out that Google planned to compete with the iPhone, Steve Jobs said, “We did not enter the search business, they [Google] entered the phone business. Make no mistake; they want to kill the iPhone. We won’t let them.” Tim Cook seems to be carrying out this vendetta with their latest launch: Spotlight.

Spotlight is what happens on your Mac desktop when you press Command-space, or when you slide down your home screen on iPhone. Why would Apple want to compete with Google’s search engine and how could it possibly be successful? The answer is advertising. Google used to highlight the background of an ad with a color to distinguish it from other content, giving users a choice on whether or not to click on these ads. Over time, however, they have included smaller and smaller notes regarding ad-related content, resulting in many people being completely unaware they are clicking on sponsored content.

Spotlight looks quite Google-y

When you search for something now, the top few hits are ads on Google (more than likely). However, this isn’t true with Spotlight. Spotlight redirects you exactly where you need to be, no ads necessary. When Apple releases their latest updates in the Fall, these “instant search” features will be even richer.

For example, Spotlight will have improved integration for Siri. Since Siri has been pitted against Google Now time and again; the new integration could give it a leg up on Google’s active assistant. Spotlight, also codenamed Proactive, will have access to Siri, Contacts, Calendar, Passbook, and third-party apps, making it more contextually aware and “proactive,” rather than passively waiting for the user to speak.

With all of these innovations, Spotlight could indeed overtake Google for searches. While Google has certainly been the favorite for searches, it seems the tides may very well be changing.

#AppleSpotlight

Jennifer Walpole is a Senior Staff Writer at The American Genius and holds a Master's degree in English from the University of Oklahoma. She is a science fiction fanatic and enjoys writing way more than she should. She dreams of being a screenwriter and seeing her work on the big screen in Hollywood one day.

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2 Comments

2 Comments

  1. Ilya Geller

    June 22, 2015 at 1:50 pm

    Apple is too late.

    Being structured information can search for people itself, based on their profiles of structured data. The information does not need any intermediators, like Google, search engines, between it and people. App;e's new search enfine is obsolete even before it began to work.

    I discovered and patented how to structure any data: Language has its own Internal parsing, indexing and statistics and can be structured internally. For instance, there are two sentences:

    a) 'Sam!’
    b) 'A loud ringing of one of the bells was followed by the appearance of a smart chambermaid in the upper sleeping gallery, who, after tapping at one of the doors, and receiving a request from within, called over the balustrades -'Sam!'.'

    Evidently, that the 'Sam' has different importance into both sentences, in regard to extra information in both. This distinction is reflected as the phrases, which contain 'Sam', weights: the first has 1, the second – 0.08; the greater weight signifies stronger emotional ‘acuteness’.
    First you need to parse obtaining phrases from clauses, restoring omitted words, for sentences and paragraphs.
    Next, you calculate Internal statistics, weights; where the weight refers to the frequency that a phrase occurs in relation to other phrases.
    After that data is indexed by common dictionary, like Webster, and annotated by subtexts.
    This is a small sample of the structured data:
    this – signify – <> : 333333
    both – are – once : 333333
    confusion – signify – <> : 333321
    speaking – done – once : 333112
    speaking – was – both : 333109
    place – is – in : 250000
    To see the validity of technology – pick up any sentence.

    Do you have a pencil?

    As you can see I really structure data. All current IT industry – and Apple as well – is obsolete and must either change or die.
    Google has no this choice, I don't give it to Erich Schmidt, Sergey Brin and Larry Page – Google is dead.

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3 cool ways bug-sized robots are changing the world

(TECH NEWS) Robots are at the forefront of tech advancements. But why should we care? Here are some noticeable ways robots are changing the world.

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Bits of robots and microchips changing the world.

When we envision the robots that will (and already are) transforming our world, we’re most likely thinking of something human- or dog-sized. So why are scientists hyper-focusing on developing bug-sized (or even smaller!) robots?

Medical advances

Tiny robots could assist in better drug delivery, as well as conduct minor internal surgeries that wouldn’t otherwise require incisions.

Rescue operations

We’ve all heard about the robot dogs that can rescue people who’ve been buried beneath rubble or sheets of snow. However, in some circumstances these machines are too bulky to do the job safely. Bug-sized robots are a less invasive savior in high-intensity environments, such as mine fields, that larger robots would not be able to navigate without causing disruption.

Exploration

Much like the insects after which these robots were designed, they can be programmed to work together (think: ants building a bridge using their own bodies). This could be key in exploring surfaces like Mars, which are not safe for humans to explore freely. Additionally, tiny robots that can be set to construct and then deconstruct themselves could help astronauts in landings and other endeavors in space.

Why insects?

Well, perhaps the most important reason is that insects have “nature’s optimized design”. They can jump vast distances (fleas), hold items ten times the weight of their own bodies (ants) and perform tasks with the highest efficiency (bees) – all qualities that, if utilized correctly, would be extremely beneficial to humans. Furthermore, a bug-sized bot is economical. If one short-circuits or gets lost, it won’t totally break the bank.

What’s next?

Something scientists have yet to replicate in robotics is the material elements that make insects so unique and powerful, such as tiny claws or sticky pads. What if a robot could produce excrement that could build something, the way bees do in their hives, or spiders do with their webs? While replicating these materials is often difficult and costly, it is undoubtedly the next frontier in bug-inspired robotics – and it will likely open doors for humans that we never imaged possible.

This is all to say that in the pursuit of creating strong, powerful robots, they need not always be big in stature – sometimes, the tiniest robots are just the best for the task.

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4 ways startups prove their investment in upcoming technology trends

(TECH NEWS) Want to see into the future? Just take a look at what technology the tech field is exploring and investing in today — that’s the stuff that will make up the world of tomorrow.

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Woman testing VR technology

Big companies scout like for small ones that have proven ideas and prototypes, rather than take the initial risk on themselves. So startups have to stay ahead of technology by their very nature, in order to be stand-out candidates when selling their ideas to investors.

Innovation Leader, in partnership with KPMG LLP, recently conducted a study that sheds light onto the bleeding edge of tech: The technologies that the biggest companies are most interested in building right now.

The study asked its respondents to group 16 technologies into four categorical buckets, which Innovation Leader CEO Scott Kirsner refers to as “commitment level.”

The highest commitment level, “in-market or accelerating investment,” basically means that technology is already mainstream. For optimum tech-clairvoyance, keep your eyes on the technologies which land in the middle of the ranking.

“Investing or piloting” represents the second-highest commitment level – that means they have offerings that are approaching market-readiness.

The standout in this category is Advanced Analytics. That’s a pretty vague title, but it generally refers to the automated interpretation and prediction on data sets, and has overlap with Machine learning.

Wearables, on the other hand, are self explanatory. From smart watches to location trackers for children, these devices often pick up on input from the body, such heart rate.

The “Internet of Things” is finding new and improved ways to embed sensor and network capabilities into objects within the home, the workplace, and the world at large. (Hopefully that doesn’t mean anyone’s out there trying to reinvent Juicero, though.)

Collaboration tools and cloud computing also land on this list. That’s no shock, given the continuous pandemic.

The next tier is “learning and exploring”— that represents lower commitment, but a high level of curiosity. These technologies will take a longer time to become common, but only because they have an abundance of unexplored potential.

Blockchain was the highest ranked under this category. Not surprising, considering it’s the OG of making people go “wait, what?”

Augmented & virtual reality has been hyped up particularly hard recently and is in high demand (again, due to the pandemic forcing us to seek new ways to interact without human contact.)

And notably, AI & machine learning appears on rankings for both second and third commitment levels, indicating it’s possibly in transition between these categories.

The lowest level is “not exploring or investing,” which represents little to no interest.

Quantum computing is the standout selection for this category of technology. But there’s reason to believe that it, too, is just waiting for the right breakthroughs to happen.

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Will AI take over copywriting roles? This tool hopes to make that a reality

(TECH NEWS) CopyAI hopes to give copywriters a run for their… well, WPM. But how much can AI fully replace copywriting skills?

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Hands typing on a laptop, working on copywriting piece.

Copywriting is an important trade. Writers are often able to breathe life into otherwise formulaic websites peddling products which, sans the copy from those writers, might very well suffer a fate of relative obscurity. However, copywriters are also expensive, and their duties—indispensable as they may be—can be replicated fairly easily by little more than basic machine learning.

The question is this: Can AI replace copywriters? That’s a question that CopyAI hopes to answer with a resounding “yes”.

CopyAI is an “AI powered [sic] assistant for writing and brainstorming marketing copy.” This makes it a powerful tool to complement human writing, at the very least; is it enough to put people like me out of a job?

From my experience with the tool, no—at least, not yet. CopyAI can’t create an engagement strategy, respond to customers, spin testimonials to evoke heart-felt reactions, or analyze its own trends.

But that doesn’t detract from how freaking cool it is in practice.

CopyAI asks for very little from its user. Upon selecting a style of copy—Facebook Market, website carousel, or even page header, for example–you are prompted to enter the title of your product and a couple of short sentences describing it in the context of your ad. CopyAI does the rest, and while the results can be hilariously out of touch, you’re able to pick the ones that sound the most like your desired copy and then generate more options that sound similar.

The service has a huge number of different options for advertisement types, and you can use multiple different copy projects in one specific campaign.

Naturally, CopyAI has a few flaws, most of which replicate the problems we’ve seen with machine learning-based writing in the past: It doesn’t sound quite human enough to be comfortable. However, that’s a problem for a skilled copywriter to solve—and quickly, thus making something like CopyAI a potentially preferable choice for mass copywriting.

So, again, we ask: Is there a way for CopyAI to replace copywriters entirely in the future? Probably not. The copy it produces is intriguing, and often close enough that underfunded campaigns might find some value in using it short-term, but it doesn’t have the punch that a real person can pack into an advertisement.

That said, combining CopyAI with a small team of copywriters to reduce burnout—and repetition—could make for some very efficient work on the back end.

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