LG's S9-rival, the G7 ThinQ, has arrived in the US and is now available at various retailers and major carriers. The G7 ThinQ is one of the Korean phonemaker's latest premium devices that comes infused with AI features -- there's also the V30S ThinQ and the V35 ThinQ, which shares many of the G7's characteristics and could make LG's lineup a bit confusing. It boasts the first dedicated Google Assistant button found on an Android phone, so you don't need to say "OK, Google" to summon the voice assistant. That button can also conjure up Google Lens, which can detect text, landmarks, media and other real-life objects, giving you a way to quickly translate foreign signs or to look for info on various objects. The device's star features, however, are its AI-powered cameras: it has one wide-angle and one standard 16-megapixel cameras on the back, as well as a 5-megapixel front cam.

Your message has been sent. There was an error emailing this page. Vacuuming is one of the most loathed household chores. While it doesn't come with the ick factor of cleaning the toilet or the tedium of dusting, pushing and dragging a noisy, cumbersome vacuum is its own kind of torture. No wonder most of us only break it out the bare-minimum-recommended once a week.

Amazon is training its voice assistant to be able to tell which skill will most suit your needs if you have no idea which one to summon. The e-commerce giant has launched the beta version of a feature called CanFulfillIntentRequest, which will allow skill-makers to tell Amazon the kinds of questions their creations can answer. That way, when you ask Alexa a vague question with no particular voice app in mind, it can run it through multiple skills and use the one that can most likely answer you. For instance, if you say "Alexa, where is the best surfing today near Santa Barbara?" the assistant will use CanFulfillIntentRequest to ask various surfing skills if they have the capacity to answer that. The assistant will then use a machine-learning model to surface the best skill for the task without having to invoke it with one of its keywords or phrases.

We unwittingly encounter AI in our daily life, in simple form observed in spelling correction to more complex form as in personalized content consumption. Our world as we know it, is running on artificial intelligence. Siri manages our calendars, Facebook suggests our friends, Computers trade our stocks. We have cars that park themselves, and air traffic control is almost fully automated. So, virtually every field has benefited from advances in artificial intelligence.

An artist taught Google Assistant how to fire gun, creating an art piece that may further increase concerns on whether artificial intelligence is dangerous. While it may still be very far from the human-killing cyborgs from science fiction movies, Google Assistant firing a gun upon a voice command may already be a very scary thought for opponents of artificial intelligence. Alexander Reben, in a video that he uploaded to YouTube, showed his latest work. "OK Google, activate gun," Reben said, prompting a response of "Sure, turning on the gun" from Google Assistant. Following the voice command issued by Reben, the gun fires at the apple in front of it.

A fresh set of rumors about Google's upcoming Pixel 3 claim that the phone could look a lot like the iPhone X. Images of purported screen protectors of the Pixel 3 were shared, showing both a base model and what seems to be an XL model. The regular Pixel 3 is expected to look like the Pixel 2, while the XL will get some features that resemble the iPhone X, according to Bloomberg. It's also believed that the Pixel 3 will launch in October with Verizon as its exclusive carrier. The Pixel 3 XL is expected to feature a'nearly edge-to-edge screen', aside from thicker bezel, or'chin', at the bottom of the display, Bloomberg noted. It will also feature a notch at the top of its display that's'taller' than the one included on Apple's iPhone X. Google is reportedly hoping to remove the bezels entirely in the future, but has kept them as part of the phone's design this year to make room for stereo speakers on the front of the device.

A machine learning project to build an autonomous sailplane that remains aloft on thermal currents is impressive enough. But the work conducted by Microsoft researchers Andrey Kolobov and Iain Guilliard will also improve the decision making and trustworthiness of IoT devices, personal assistants and autonomous cars. The constraints limiting the computational resource of weight and space imposed by the airframe of the sailplane adds relevance to the many new developments in ubiquitous computing. The autonomous sailplane is controlled by a 160MHz Arm Cortex M4 with 256KB of RAM and 60KB of flash running on batteries that monitor the sensors, run the autopilot and control the servo motors, to which the researchers have added a machine learning model that continuously learns how to autonomously ride the thermal currents. In the these early days of platforms like digital assistants, IoT and autonomous vehicles, there are hundreds of open problems that will be distilled into a handful of scientific questions that first must be answered to build products that match popular visions of them.

The stereotypical salesperson - smartly dressed with their Rolodex of contacts - is an image of a bygone era. Even interacting via phone and email is starting to feel outdated thanks to advanced communication methods. Video collaboration software like Google Hangouts and Skype reduce the need for physical interactions. Social media and messaging apps also afford an instant line of communication. The ways to interact with each other seem endless, yet somehow it feels as if personal relationships are becoming more distant.

We all know that Artificial Intelligence (AI) is here to stay. We experience AI everywhere and enjoy its benefits without even realizing it. From streaming video services like Netflix, which learn our viewing behaviors and patterns so we spend our valuable time watching the shows we like best; to digital assistants like Amazon's Echo which can recognize speech patterns to follow our commands and answer our questions; to using AI-powered apps like Lyft or Google Maps to hail the closest ride or navigate around traffic and get from point A to point B, AI is now embedded in our daily lives. Each of these everyday consumer applications uses machine learning (ML) for their AI use cases. But it's not just the consumer technology giants and startups that are using ML technology to power AI-enabled applications; enterprises in virtually every industry are now exploring ML for a wide range of different AI use cases, ranging from fraud detection to medical diagnosis, stock market prediction, and autonomous driving to name just a few.

The Google Assistant was the star of Google I/O for the second year in a row. Now that the technology has been available for well over a year, Google is adding numerous features that will expand the AI's reach in Google's quest to dominate your home. In other words, expect to be talking to your phone a lot more in the coming years. Getting voice answers Google Home or your phone is fine and all, but sometimes it helps to have a visual aid. Google is leveraging Chromecast to do just that.