When it comes to social intelligence, dogs and toddlers are of a similar standing, a new study claims. Researchers have found that dogs and 2-year-old children perform with similar success on cooperative communication tasks, both outperforming chimpanzees – one of our closest living relatives. The discovery suggests evolution may have shaped both humans and dogs in a way that favors'survival of the friendliest,' the researchers say. Researchers have found that dogs and 2-year-old children perform with similar success on cooperative communication tasks, both outperforming chimpanzees – one of our closest living relatives. Social intelligence is the ability to succeed in complex social relationships and environments.

Recently, technologies such as face detection, facial landmark localisation and face recognition and verification have matured enough to provide effective and efficient solutions for imagery captured under arbitrary conditions (referred to as "in-the-wild"). This is partially attributed to the fact that comprehensive "in-the-wild" benchmarks have been developed for face detection, landmark localisation and recognition/verification. A very important technology that has not been thoroughly evaluated yet is deformable face tracking "in-the-wild". Until now, the performance has mainly been assessed qualitatively by visually assessing the result of a deformable face tracking technology on short videos. In this paper, we perform the first, to the best of our knowledge, thorough evaluation of state-of-the-art deformable face tracking pipelines using the recently introduced 300VW benchmark. We evaluate many different architectures focusing mainly on the task of on-line deformable face tracking. In particular, we compare the following general strategies: (a) generic face detection plus generic facial landmark localisation, (b) generic model free tracking plus generic facial landmark localisation, as well as (c) hybrid approaches using state-of-the-art face detection, model free tracking and facial landmark localisation technologies. Our evaluation reveals future avenues for further research on the topic.

The word "Disagree" is seen on the hand of Julia Grabowski during a town hall meeting for Republican U.S. Senator Bill Cassidy in Metairie, Louisiana. News about President Donald Trump -- including an apparently neglected vegetable garden that once belonged to former first lady Michelle Obama -- is inescapable. As The New York Times' Farhad Manjoo wrote, "he is no longer just the message. In many cases, he has become the medium." Mental health professionals in the U.S. have reported that the all-encompassing coverage of the president has induced anxiety and depression, or post-election stress, in many of their patients.

A mother was on the phone, crying. She could not contain her gratitude: her son had just been accepted to university thanks, in part, to a new startup called SchoolApply. "We really want to open up the world for students," says Daniel Bjarne, CEO and Co-Founder of SchoolApply, which uses artificial intelligence (AI) and search functionality to help students from anywhere in the world connect with educational programs abroad that best match their needs and potential. Demand for such a service is growing fast. By 2025, some eight million students are expected to have to travel to other countries to study.

Immersive audio technologies such as Dolby Atmos and DTS:X create an incredible three-dimensional sound field that simply blows away traditional multi-channel home theater. Once you hear it, you just can't go back. If you've longed for immersive audio in your home theater, but balked at the thought of installing speakers in your ceiling, MartinLogan has a fantastic solution. The company's Motion AFX, $599 per pair, are Dolby Atmos-enabled speakers deliver all the benefits of object-oriented soundtracks such as Dolby Atmos and DTS:X without the hassle of opening your ceiling. Dolby Laboratories, the company behind Atmos, knew that most consumers wouldn't be able to install in-ceiling speakers.

HELSINKI, Finland -- February 23, 2017 -- Comptel Corporation (OMX Helsinki: CTL1V) announced today that it's Fastermind has gained significant momentum since its launch at Nexterday North in November 2016. Fastermind provides artificial intelligence capabilities to digital service providers, enabling them to recommend, predict and automate real-time decisions, particularly supporting customer engagement automation. According to new research conducted by Comptel, today's mobile customers want to be treated as individuals by their service provider. Surveying 2,000 mobile data users in the US and the UK, the research found that while more than half of mobile data customers (55 percent) are eager to receive more proactive, personalised messages and services, fewer than one in seven (13 percent) have ever actually received this kind of communication from their carrier. Operators can respond to this demand for personalisation by using Fastermind to reach their customers at the right time, with the right messages, through automated marketing offers and service notifications.

Ahmad Hasan Abu Khayr al-Masri, al Qaeda's second in command, reportedly was killed Sunday in a drone strike in Syria. Israeli broadcaster Arutz Sheva cited unconfirmed reports saying a U.S. drone strike near al-Mastoumeh in Idlib province killed al-Masri, who has been described as the general deputy to al Qaeda leader Ayman al-Zawahiri. Video of the aftermath was posted on YouTube by the Smart News Agency. Al-Masri, 59, was in Iranian custody for a dozen years until 2015 when he was released and moved to Syria. Pictures of the car in which al-Masri reportedly was traveling were posted on Twitter.

Federico Antoni is managing partner at ALLVP, an early-stage VC based in Mexico. He is a lecturer in management at the Stanford Graduate School of Business. "Over the last couple of years, a billion new people have joined the super-connected world. Billions more around the developing world, now, walk with a high-speed computer in their pockets. And yet, they don't have a bank account, a formal education or access to most of the services we take for granted in the U.S. Imagine the possibilities… imagine how you can change the lives of billions of people."

These days, even when I read news about India's state owned air carrier, as "New AI connectivity between cities X & Y", the first connection my (poor human) brain makes is to Artificial Intelligence. Only then it connects to Air India. This is because everyone (in my extended professional circle) is talking of Artificial Intelligence. Though I had done a short elective on AI in my computer engineering days (16 years back), done some basic LISP programming as part of it, had presented a paper on'Genetic Algorithms' in a seminar (again that long ago), and am an avid watcher of Sci-Fi movies around AI (and claim to have understood Matrix the first time I watched it - with subtitles though, ha!), I realize that my knowledge of what AI is, is no better than a layperson (or worse, since half knowledge is more dangerous). This article is an endeavor to sort of unpack AI (and the associated words like ML - machine learning, DL - deep learning) for myself. And publishing it around to benefit others that are in a similar boat. And also to get feedback from others to correct my understanding. Without much dumbing down (or may be with), Artificial Intelligence is fundamentally anything that a computing machine does. Even the basic accountant calculator that does 2 2 4 is'artificial intelligence'. However, we do not consider them as'AI' because of what is called'AI effect' - When we know'how' a machine does something'intelligent,' it ceases to be regarded as intelligent. Tools we take for granted (pick any of your favorite app) are all'AI'. Anything that is'eaten by software' can be considered as Artificial Intelligence. And why is everyone talking about it?

In 1849 Austria sent unmanned, bomb-filled balloons to attack Venice. UAV innovations started in the early 1900s and originally focused on providing practice targets for training military personnel. UAV development during World War I: the Dayton-Wright Airplane Company invented a pilotless aerial torpedo that would explode at a preset time. The earliest attempt at a powered UAV was A. M. Low's "Aerial Target" in 1916. Nikola Tesla described a fleet of unmanned aerial combat vehicles in 1915.