Just when digital memories become as dear as physical ones, Google again innovates with a potentially game-changing tweak to Google Photos – how you search within your ever-growing galleries of photos and videos – announced at the annual I/O event. More than 6 billion photos and videos are uploaded to Google Photos every day, making the upgrade all the more welcome: and necessary. Here’s how copy-and-paste search is transforming Google’s photo platform. The era of the digital darkroom is here. Google’s photo search has become much more accurate I/O 2018, presented 8 May in Mountain View, California, unveiled plenty of features that earned the approving (and loving) grins from attendees. Arguably, the most well-received wasn’t one of the glossy software draws everyone knows exists; it was an AI-driven search upgrade that now drives the Google Photos platform, which you’ve very likely used anytime recently that you’ve tiptoed into your photo app. In a year full of proposed AI product differentiation, no subset has been more frequently mentioned than search and users’ expression of frustrations with its ease and utility in the online world. Think clunky responses powered in part by brute-force matching of keywords with customers’ often-contradictory requests. Think sifting through text when pictures can normally solve the problem. Google is largely credited as pioneering copy-and-paste search, but AI-enhanced copy-and-paste search in the image context is an entirely different concept.
The eyes of the world were on an announcement that could change forever the way we experience digital memories: on the latest Google I/O conference call, Sundar Pichai, CEO of Google, had announced an AI-driven revamp of the experience of searching for photos and videos within Google Photos. Rather than enter search terms into Google Photos, users can simply say something like 'Show me pictures with the dog' and the app will take you to all those scenes. This tech advance was made possible with Google’s new AI, named Gemini. At long last, we can organise and find our digital photos much more effectively.
Imagine yourself at an airport, forgetting your licence plate number. With the new search capabilities, you can ask 'What was my licence plate number again?' and expect a correct answer. There is nothing like this type of domain-specific photo search. It is astonishing, but speaks volumes for the development of AI and machine learning within Google’s ecosystem.
A second example that Pichai recounts shows how this update unleashes the sentimental possibilities. Asking Google Photos: 'When did Lucia learn to swim?' leads the AI to sift past the images of swimming itself, which is clearly not the user query here – perhaps swimming certificates were achieved as part of an overall set of successes – and to dig into records of the milestone event as well. This more nuanced ability understands that the user isn’t asking for all the images of swimming per se, but is really wanting to look at all the images showing her (or his) ability to swim. Being able to anthropomorphise the AI in search is such a powerful thing; the more it starts to understand our human nuance and what we’re trying to find, the richer the experience can get.
Behind the scenes, though, it must arrive at some explanation for why exactly it should retrieve those photos or videos from the keyword phrasing of my query – details of that sort Google understandably isn’t keen to make public. But what Pichai’s confidence indicates overall is that some form of AI in Google’s pipeline will be making considerable efforts to get context – to understand relevancy, connections, and the ebb and flow of human memory. Such advances represent another important step on Google’s pathway to technology that feels increasingly human.
Such developments aren’t taking place in a vacuum within Google; it’s not as if the world beyond is impervious to AI. The fact that Google has a competitor in OpenAI – which has also built general-purpose versus narrow AI, and illustrated that it can be used in everything from search to virtual assistants – speaks to the richness of AI development among competitors. But the fact that we tend to hear about Google’s photosearch developments over the AI applications of other companies speaks to the fact that Google has committed itself not just to advancing technology, but to using it to make the human experience better.
For users, this update of Google Photos represents one more step toward how digital memories can be archived, made searchable, and relived – and how conversational queries mean more time with important images and less scrolling through album archives. This is what happens as AI evolves from being a mere utility to becoming the gateway to our digitised lives.
As Google improves and develops its AI, we can expect digital content to become increasingly responsive and immersive. Photo search will soon be a barely discernible transition between our brains and technology.
Gizmogo is the convenient way to sell your old tech—everything from Google products to other gadgets—that make recycling easy and green.
But selling your Google gadget on Gizmogo can be as easy as: √ Visit gizmogo.com, find model from the suggestions and find the device you are selling.√Get an offer.√Accept and send your device registered on their website.√Have your inspector receive your device.√Get paid if your device inspected ok.
Whether your device is new, displays some wear and tear or is broken, Gizmogo will buy it from you. You’ll receive a quote according to the listed condition and model of your device, so don’t hold off if your device is somewhat damaged.
Through Gizmogo, you also ensure that your former Google devices are recycled, reused, and refurbished – instead of finding their way to a landfill. This spares the planet resources and shrinks our prodigious demand for new stuff.
Gizmogo buys all phone and tablet brands, including Apple. While this article concentrates on Google products in particular, it’s important to note that Gizmogo lets you sell electronic gadgets made by all sorts of other brands too. This could be smartphones, tablets, laptops or other electronic devices. You can sell any kind of electronic object.
The latest refinements to Google Photos’ search methods reflect the wider evolution of Google’s aims to bring powerful technology and intuitive ease together in everyday life. Whether it’s empowering the AI-fuelled Gemini or its wider array of user-facing apps, Google is continuing to try to build a future in which technology is hidden behind a veil of simplicity and readability, which seems destined to grow ever thicker. It’s early days on the AI adventure, but Google’s latest efforts hint at the beginnings of a future in which even more technology can possess an impossible quality – that of knowing us better than we know ourselves.
More Info:
© 2024 UC Technology Inc . All Rights Reserved.