The Pixel 2 had arguably the best smartphone camera on the market, and Google wants to make sure it stays that way. During its Pixel unveiling today, it introduced a raft of new camera features for the Pixel 3 and Pixel 3XL smartphones, including an improved zoom, wider-angle camera, smile and blink detection, bokeh control and more -- all with just a single lens on the back. The quality is apparently good enough for Terrence Malick, who shot a video that was featured at the event, so it might be good enough for the rest of us, too. Some of the features are enabled with the fresh hardware, to be sure. There's a brand new 12.2-megapixel sensor on the back, with a sharper wide-angle lens to allow for zooming.

With over 2 billion active Android devices and over 1 billion active iOS users, the mobile market provides the most engaging and profitable market to build and sell new digital solutions. There are less than 4 million unique applications for each of these operating systems, with most of them performing the same or related functions. However, the arrival of cloud-based and device-based artificial intelligence tools provides a unique opportunity to recreate the mobile experience for existing apps, as well as build entirely new mobile apps that can only be possible through the use of AI-powered tools. There are a few challenges with harnessing this opportunity of mobile apps with AI capabilities, some of which include knowing what problems to solve, what applications to build, and how to tailor these applications so that existing app users can have improved mobile experiences. Below, I'll be sharing 5 exceptional mobile apps ideas made possible by integrating AI into the mobile experience.

Google's new Pixel 3 smartphones attempt to push the computational photography envelope, challenging Apple's new iPhone XS and Samsung's Galaxy S9. As with last year's Pixel 2, Google is further flexing its artificial-intelligence muscle, with more and more local AI-driven features across every facet of the device, from the camera and smart Gmail replies to battery life and device control. "We've been very thoughtful about how we design phones, thinking about their purpose for consumers," said Mario Queiroz, head of Google's Pixel. "We want to make sure we have a the right balance between being really helpful but not intrusive, being delightful but not controlling, simple but not cumbersome." The Pixel devices look familiar on the outside, with a two-tone back that is now all glass with two finishes – polished at the top and etched at the bottom.

When Samsung revealed the Galaxy Note 9 back in August, it showed off new AI-powered camera features, like flaw detection and a scene optimizer to tune the exposure and color of a shot before you've captured it. When Apple launched the iPhone XS and XS Max last month, it talked a lot about how the new phone's AI-specific neural processor enabled better photos, especially Portrait pics. Now, it's Google's turn to boast about its AI-enhanced smartphone camera--and show how its software smarts and access to vast networks of data give it a leg up on the competition. Earlier today Google announced its new Google Pixel 3 and Pixel 3 XL smartphones. The new phones were expected (and had been leaked weeks beforehand), but since Google makes the vast majority of its revenue from digital advertising, any new hardware launch from the company piques a particular kind of interest. Google may not sell nearly as many phones as its flagship competitors do, but it knows that if it's going to compete at all in the high-end smartphone market, it has to have a killer camera.

An artificial intelligence system that can tell the difference between real and fake news -- often with better success rates than its human counterparts -- has been developed by researchers at the University of Michigan. Such a system may hep social media platforms, search engines, and news aggregators filter out articles meant to misinform. "As anyone else, we have been disturbed by the negative effect that fake news can have in major political events [and] daily life," Rada Mihalcea, a UM computer science professor who developed the system, told Digital Trends. "My group has done a significant amount of work on deception detection for nearly ten years. We saw an opportunity to address a major societal problem through the expertise we accumulated over the years."

Voice technology interviews hosted by Carl Robinson. This show brings you the latest research and developments in the field of voice technology, through a series of entertaining, inspirational, and informative conversations with voice technology experts. You'll hear about the latest products and concepts in voice, get new ideas for your own voice projects, and learn about the tools and techniques that will turn those ideas into reality. I conduct interviews with people who've actually implemented voice technologies in a project, including academic researchers, CTOs, engineers and software developers, voice interface designers, product managers, human computer interaction experts and more. We delve into all aspects of voice technology, including the enabling technologies such as speech recognition such as speech-to-text (STT) and speech-to-intent; voice synthesis such as text-to-speech (TTS); transformation of identity/emotion; AI, machine learning and data science related to voice audio; and natural language processing (NLP).

Much like a blockbuster movie poster or a photo on a book of donut recipes, a magazine cover is an essential opportunity to grab a reader and tell them what delicious stories are inside, with as much wit and visual persuasion possible. And while the Bengali typhoon of the digital revolution may have wiped away the importance of a print cover to sell magazines, the cover is still very important to us as a piece of design work and a symbolic representation of the issue. Planning the ultimate cover is an insane process. We always seem to have so much time for it … until we don't. You would think a month would always be enough, but no. Sometimes we know months in advance what the cover story is going to be; other times we don't find out until a couple weeks before we ship an issue to the printer. The same goes with cover art.

In a bid to combat fake news, researchers at the MIT's CSAIL and Qatar's Computing Research Institute have built an artificially intelligent system that is capable of scanning not the news per say, but its source to identify for falsehood. The AI, which is still under development, uses machine learning algorithm which has been trained using Media Bias/Fact Check's analysis of over 2,000 news outlets to look for the linguistic cues of sites that push fake or distorted news, Engadget reported. Additionally, the machine learning approach is also capable of drawing links between a site's authenticity and its Wikipedia page or web addresses. However, the system is not perfect yet, and can only detect accuracy with 65 percent effectiveness and bias with 70 percent.

We are on the verge of the AI gold rush. Like the prospectors of the infamous historical gold rush, however, only a few leading organizations will strike gold. Real economic growth will be achieved by the companies selling the equivalent of picks, food, supplies, shovels, and jeans for artificial intelligence and machine learning. Think of all the tools required: training data, governance tools, consulting and integration services, and most critical, the creation of new sustainable revenue models. Startups, incumbent tech companies, and corporate innovation centers have already started using artificial intelligence and machine learning to solve real business problems across nearly every industry, including manufacturing, healthcare, transportation, and energy.

H2O.ai, the open source leader in AI, today announced the latest additions to the speaker lineup for H2O AI World London, a two-day interactive event featuring deep-dive technical sessions, talks on real-world business use cases and hands-on training. With speakers from PwC, Barclays, NVIDIA, IBM, Citi and more, the conference will bring together data scientists, business analysts and executives across multiple industries to discuss the latest trends in artificial intelligence, machine learning and data science, important use cases and the biggest challenges currently facing the industry. Join H2O.ai in London to connect with the community and learn how to harness the full value of AI, ML, deep learning and data science from industry-recognized speakers and hands-on training sessions. Register here to secure your spot. On day one of the conference, sessions will focus on hands-on technical training for H2O.ai's groundbreaking products, H2O Driverless AI, H2O-3 and Sparkling Water, to empower data scientists and analysts of all levels to work on projects faster and more efficiently through automation and state-of-the-art computing power.