Tag Archives: natural language processing

8 big proclamations from Google I/ O 2018

Google kicked off its annual I/ O developer conference at Shoreline Amphitheater in Mountain View, California. Here are some of the most important notices from the Day 1 keynote. There is even more to come over the next got a couple of daylights, so follow along on everything Google I/ O on TechCrunch.

Google goes all in on neural networks, rebranding its study division to Google AI

Just before the keynote, Google announced it is rebranding its Google Research division to Google AI. The move signals how Google has increasingly focused R& D on computer imagination, natural language processing, and neural networks.

Google obliges talking to the Assistant more natural with “continued conversation”

What Google announced: Google announced a” continued speech” revise to Google Assistant that stirs talking to the Assistant feel most natural. Now, instead of having to say “Hey Google” or “OK Google” every time you want to say a dominate, you’ll simply “re going to have to” do so the first time. The firm also is adding a brand-new peculiarity that allows you to ask multiple questions within the same petition. All this will roll out in the coming weeks.

Why it’s important : When you’re having a usual conference, stranges are you are asking follow-up interrogates if you didn’t get the answer you missed. But it can be jarring to have to say ” Hey Google” every single season, and it separates the whole overflow and clears the process appear fairly unnatural. If Google wants to be a significant participate when it is necessary to singer interfaces, the actual interaction has to feel like a dialogue — not just a series of queries.

Google Photos gets an AI raise

What Google announced: Google Photos already establishes it easy for you to correct photos with built-in editing implements and AI-powered aspects for automatically composing collages, movies and stylized photos. Now, Photos is getting more AI-powered sticks like B& W photo colorization, brightness chastening and suggested spins. A brand-new form of the Google Photos app will hint quick fix and nips like rotations, brightness corrections or adding papas of color.

Why it’s important : Google is working to become a hub for all of your photos, and it’s able to woo potential consumers by offering powerful tools to revise, sort, and modify those photos. Each additional photo Google gets offers it more data and helps them get better and better at portrait recognition, which in the end not only improves the user ordeal for Google, but also becomes its own tools for its services better. Google, at its nature, is a exploration corporation — and it needs a lot of data to get visual examine right.

Google Assistant and YouTube are coming to Smart Displays

What Google announced : Smart Displays were the talk of Google’s CES push this year, but we haven’t heard much about Google’s Echo Show competitor since. At I/ O, we got a little more insight into the company’s smart expose attempts. Google’s first Smart Displays will propel in July, and of course is likely to be powered by Google Assistant and YouTube. It’s clear that the company’s expended some resources into building a visual-first form of Assistant, apologizing the additive of a screen to the experience.

Why it’s important: Users are increasingly going accustomed to the idea of some smart design sitting in their living room that will answer their questions. But Google is looking to create a system where a consumer can ask questions and then have an option to have some kind of visual display for actions that only can’t be resolved with a voice interface. Google Assistant treats the tone part of that equation — and having YouTube is a good service that leads alongside that.

Google Assistant is coming to Google Maps

What Google announced : Google Assistant is coming to Google Maps, may be consulted in iOS and Android the summer months. The addition is meant to provide better recommendations to users. Google has long is endeavouring to oblige Maps seem more personalized, but since Maps is now about far more than merely directions, the company is innovating brand-new peculiarities to give you better recommendations regarding local places.

The delineates integrating likewise blends the camera, computer image technology, and Google Maps with Street View. With the camera/ Maps combination, it actually looks like you’ve climbed inside Street View. Google Lens can do concepts like relate houses, or even dog makes, exactly by objecting your camera at the object in question. It will also be able to identify text.

Why it’s important: Maps is one of Google’s biggest and most important makes. There’s a lot of exhilaration around augmented reality — they are able to point to phenomena like Pokemon Go — and companies are just starting to scratch the surface of the proper use examples for it. Figuring out attitudes seems like such a natural apply lawsuit for a camera, and while it was a bit of a technical feat, it commits Google yet another perk for its Maps users to keep them inside the service and not switch over to alternatives. Again, with Google, everything coming through to the data, and it’s able to capture more data if consumers stick around in its apps.

Google announces a new generation for its TPU machine learning hardware

What Google announced : As the crusade for creating customized AI hardware heats up, Google said that it is rolling out its third generation of silicon, the Tensor Processor Unit 3.0. Google CEO Sundar Pichai said the brand-new TPU is 8x more powerful than last year per pod, with up to 100 petaflops in accomplishment. Google connects pretty much every other major companionship in looking to create habit silicon in order to handle its machine operations.

Why it’s important: There’s a race to create best available machine learning tools for developers. Whether that’s at the framework level with tools like TensorFlow or PyTorch or at the actual hardware rank, the company that’s be permitted to fasten developers into its ecosystem will have an advantage over the its competitors. It’s especially important as Google ogles to build its cloud platform, GCP, into a massive business while going up against Amazon’s AWS and Microsoft Azure. Giving developers — who ever adopting TensorFlow en masse — a practice to speed up their operations can help Google continue to woo them into Google’s ecosystem.

MOUNTAIN VIEW, CA- MAY 08: Google CEO Sundar Pichai gives the keynote address at the Google I/ O 2018 Conference at Shoreline Amphitheater on May 8, 2018 in Mountain View, California. Google’s two day developer conference passes through Wednesday May 9.( Photo by Justin Sullivan/ Getty Images)

Google News gets an AI-powered redesign

What Google announced : Watch out, Facebook. Google is also planning to leveraging AI in a revamped form of Google News. The AI-powered, redesigned word end app will” allow users to keep up with the word they care about, understand the full story, and enjoy and support the publishers they trust .” It will leverage ingredients found in Google’s digital publication app, Newsstand and YouTube, and introduces brand-new boasts like “newscasts” and “full coverage” to help people get a summary or a more holistic idea of a news story. Why it’s important : Facebook’s central concoction is literally called ” News Feed ,” and it helps as a major source of information for a non-trivial section of countries around the world. But Facebook is embroiled in a gossip over personal data of as many as 87 million useds resolving up in the handwritings of a political research conglomerate, and there are a lot of questions over Facebook’s algorithms and whether they surface up lawful datum. That’s a huge hole that Google could exploit by offering a better bulletin concoction and, is again, fastening consumers into its ecosystem.

Google unveils ML Kit, an SDK that obligates it easy to add AI smarts to iOS and Android apps

What Google announced : Google unveiled ML Kit, a brand-new application development kit for app developers on iOS and Android that allows them to integrate pre-built, Google-provided machine learning representations into apps. The frameworks support text acknowledgment, look detecting, barcode scan, portrait labeling and landmark recognition.

Why it’s important: Machine learning tools have enabled a new wave of use occurrences that include use subjects built on top of persona recognition or pronunciation detection. But even though frameworks like TensorFlow have seen it easier to build applications that tap those tools, it can still take a high level of expertise to get them off the floor and guiding. Developers often figure out the best use subjects for new implements and devices, and change paraphernaliums like ML Kit assistance lower the barrier to entry and give developers without one tonne of expertise in machine learning a playground to start figuring out fascinating apply subjects for those appliocations.

So when will you be able to actually play with all these brand-new peculiarities? The Android P beta is available today, and you can find the upgrade here .

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