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Microsoft announces new AI-powered search features for Bing

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Today, Microsoft announced a series of artificial intelligence-driven features for its Bing search engine to make it more conversational and nuanced. The news, unveiled at an event in San Francisco, means that Bing will make better use of object recognition, so-called machine reading (for parsing text and extracting meaning), and other techniques tuned and improved using AI training methods. Search results will now show both multiple perspectives and multiple sources, culled from a list of pre-approved news sources, to show Bing users different sides of issues ranging from the benefits and downsides of kale to the pros and cons of contentious political issues. This builds on an earlier feature, announced back in September, in which Bing added fact checks to search results in an effort to cut down on misinformation, fake news, and other distorted stories from manipulative information sources. In a new partnership with social news site Reddit, Bing will also surface information from subreddits right in search results by using algorithms to read and analyze the user-generated text across Reddit's many communities.


What happens when you use Amazon's Alexa for holiday shopping

USATODAY

Amazon Alexa has never sounded or looked better. NEW YORK – It was a few weeks before Christmas and time to put my voice assistant to the test: Could I just shout out the gifts I needed to buy without having to get on a smartphone or computer? Alexa, the virtual assistant inside my Echo Dot from Amazon, is really good at reordering stuff I already bought on the online shopping site. But asking it to order new items was trickier: I had to be precise and know exactly what I wanted to buy. There were times I had to rephrase orders until it could understand me.


How to Accelerate the Use of AI in Organizations - THINK Blog

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Open any business publication or digital journal today, and you will read about the promise of AI, known as artificial or augmented intelligence, and how it will transform your business. The fact is, AI will not only transform your entire business, whether you are in health care, finance, retail or manufacturing, but it will also transform technology itself. The essential task of information technology (IT), and how we measure its value, has reached an inflection point. It's no longer just about process automation and codifying business logic. Instead, insight is the new currency, and the speed with which we can scale that insight and the knowledge it brings is the basis for value creation and the key to competitive advantage.


20 gift ideas that are perfect for stylish techies

USATODAY

If you make a purchase by clicking one of our links, we may earn a small share of the revenue. However, our picks and opinions are independent from USA TODAY's newsroom and any business incentives. There are gifts that are practical, gifts that are functional, and then there are gifts that are just… wowsers, that's beautiful. If you're looking to impress someone with a show-stopping present, this list of gadgets has been imbued with great design, and they're all really useful to boot. Good news: Beautiful does not always mean budget-breaking (though there are a few splurge-worthy items here too).


AI Can Identify 1.8 Billion People in Seconds

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A Chinese tech firm has developed an artificial intelligence algorithm that can connect to millions of surveillance cameras in the country and instantly identify the people on screen. Yitu Technology's Dragonfly Eye has a collection of 1.8 billion photos on file through the communist government's central database, which it can access. It may also have access to photos of anyone with a Hong Kong identity card, as well as images of foreign visitors who are photographed at ports and airports. The program is meant to quickly identify and track down "criminals," which has become a little more loosely defined since Xi Jinping came to power. However, Yitu officials claim the AI has been highly successful in identifying people.


Adobe Lightroom adds AI, machine learning for better auto settings

ZDNet

Adobe on Tuesday announced its Lightroom apps are gaining better auto enhancement settings thanks to a neural network powered by Adobe Sensei, its AI and machine learning platform. AI has become one of the great, meaningless buzzwords of our time. In this video, the Chief Data Scientist of Dun and Bradstreet explains AI in clear business terms. The new auto settings create a better photo by analyzing your photo and comparing it to tens of thousands of professionally edited photos. Adobe then corrects exposure, contrast, highlights, shadows, whites, blacks, saturation, and vibrance.


Adobe Lightroom uses AI to edit your photos like a pro

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Many photo editing apps have an auto-adjust feature that can improve photos, but pros tend to steer clear of it for a reason -- it's more of a vague guess than an informed edit based on experience. Wouldn't it be nice if it learned from the pros? Adobe has released updates to Lightroom (both CC and Classic) and Camera Raw that use its Sensei AI to improve photos based on examples. The new Auto mode compares your image to "tens of thousands" of professionally edited shots and uses that wealth of info to make smarter decisions. This doesn't guarantee that you'll have Ansel Adams-grade photos with a couple of clicks, but it could limit your editing to minor tweaks.


Adobe Lightroom uses AI to edit your photos like a pro

Engadget

Many photo editing apps have an auto-adjust feature that can improve photos, but pros tend to steer clear of it for a reason -- it's more of a vague guess than an informed edit based on experience. Wouldn't it be nice if it learned from the pros? Adobe has released updates to Lightroom (both CC and Classic) and Camera Raw that use its Sensei AI to improve photos based on examples. The new Auto mode compares your image to "tens of thousands" of professionally edited shots and uses that wealth of info to make smarter decisions. This doesn't guarantee that you'll have Ansel Adams-grade photos with a couple of clicks, but it could limit your editing to minor tweaks.


Colourising Video with Serverless Machine Learning

@machinelearnbot

Earlier this year I saw a post on Mashable which had some amazing photos from World War Two. They really bring the era to life so I was thinking about how we could automate the process of colourising photos and save a ton of - it can cost up to £3k/minute to colourise video professionally. DockerCon EU was coming up and I really wanted to attend. My idea sounded like the perfect solution to my problem! Enlisting the help of my friend Oli Callaghan, we started writing code.


Pinterest Sees The Future

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It all started 16 months ago with an avocado. This particular avocado was set on a boardroom table in Pinterest's San Francisco headquarters. Surrounded by half a dozen colleagues, Albert Pereta approached the fruit and carefully aimed his phone. The creative director from Pinterest was testing the company's latest invention, a feature called Lens, which–if it performed correctly–would not only identify the fruit but also search through billions of photos that had been uploaded to the service for the past seven years to find similar images. The app took a few moments to sync with the cloud, and then pulled up the results.