Can computers be truly creative? More specifically, can people bestow upon machines what we know as creativity and have the machines thinking creatively? Google knows that an answer does not come easily and some people may argue that the answer is hairy. Do all people agree on what makes creativity creativity? Depending on what kind of definition you go by, if you build software that can take a note sequence and turn it into a melody by finding patterns where do you place it on the scale of creativity?

The danger-sensing abilities of the newly developed robot system far exceed those of the Robot in the classic TV series Lost in Space. The danger-sensing abilities of the newly developed robot system far exceed those of the Robot in the classic TV series Lost in Space. Researchers are developing a system to teach robots how to feel pain. That might seem counterintuitive, as IEEE Spectrum points out. After all, "One of the most useful things about robots is that they don't feel pain."

Over 1B has been invested in AI-Infrastructure startups since 2010 with 340M being invested in 2015. Over 7.5B has been invested in AI-Applications startups since 2010 with 2.3B being invested in 2015. This Artificial Intelligence Report has been produced by Tracxn for the BootstrapLabs Applied Artificial Intelligence Conference 2016.

There are seven key megatrends driving the future of enterprise IT. You can remember them all with the helpful mnemonic acronym CAMBRIC, which stands for Cloud Computing, Artificial Intelligence, Mobility, Big Data, Robotics, Internet of Things, CyberSecurity. In this post we dive deeper into Artificial Intelligence. Artificial Intelligence is the discipline of thinking machines. The field is growing dramatically with the proliferation of high powered computers into homes and businesses and especially with the growing power of smartphones and other mobile devices.

Who needs Art critics when a computer can do the job? Visitors to the Tate will be invited to access an Artificial Intelligence (AI) programme which uses algorithms to explain the relevance of works in the collection. "We can't wait to begin working with Tate, Microsoft and a talented team of AI specialists to create this living, seeing, algorithm." Tate Britain has awarded the 15,000 IK prize and a 90,000 production budget to the Italian team behind Recognition, a research project which will merge AI and art, to "uncover the hidden links between current events and art from the Tate collection." Supported by Microsoft, the Fabrica team, based in Treviso, will use powerful algorithms and "machine learning" to search through Tate's vast digital collection and archive and news images of current events, unearthing "hidden relationships between how the world has been represented in image form, in the past and present."

I recently mentioned to my 12-year-old daughter that artificial intelligence will be able to outsmart us by 2045. She got very upset, feeling that this would be the end of the human race and saying, "Then we can kill ourselves, otherwise we will be killed by them." My daughter's reaction was childish (which one would expect from a 12-year-old). But when world-leading technology and science visionaries also express concerns about the dangers of artificial intelligence, maybe we should pay attention. Physicist Stephen Hawking, technology entrepreneur Elon Musk and Microsoft founder Bill Gates have all expressed concerns that computers and smart technologies may eventually outsmart humans and, through calculations based in cold logic without regard to the value of human life, could lead to our own demise.

Intel has continued its strides into the IoT market through the acquisition of Itseez, a computer vision and machine learning company, reports BCN. Itseez, which was founded by two former Intel employees, specializes in computer vision algorithms and implementations, which can be used for a number of different applications, including autonomous driving, digital security and surveillance, and industrial inspection. The Itseez inclusion bolsters Intel's capabilities to develop technology which electronically perceive and understand images. "As the Internet of Things evolves, we see three distinct phases emerging," said Doug Davis, GM for the Internet of Things Group at Intel. "The first is to make everyday objects smart – this is well underway with everything from smart toothbrushes to smart car seats now available. The second is to connect the unconnected, with new devices connecting to the cloud and enabling new revenue, services and savings. New devices like cars and watches are being designed with connectivity and intelligence built into the device. "The third is just emerging when devices will require constant connectivity and will need the intelligence to make real-time decisions based on their surroundings.

Anthony Goldbloom is cofounder and CEO of Kaggle, a platform for machine-learning competitions. Almost 500,000 of the world's top data scientists compete on Kaggle to solve important problems for industry, government, and academia. Kaggle has catalyzed breakthroughs in areas ranging from automated essay grading to automated disease diagnosis from medical images. Before cofounding Kaggle in 2010, Anthony was an econometrician at the Australian treasury. In 2013 MIT Technology Review named him one of 35 top innovators under the age of 35.

Twice a week, we'll be highlighting the latest bot and artificial intelligence news here on the Bot or Not Medium blog. This week, we have bots running countries, companies and social engagements. Will bots eventually rule the world, like in the movies? See below for a summary, and stay tuned for more bots news next week! Real-time bots have grown exponentially smarter in the last decade.

Though research is a slow moving and rigid process, one study shows that the rate of scientific study has exploded in the last 50 years. According to the paper, humanity's scientific output now doubles every nine years. In specific areas like healthcare, the doubling rate is even faster -- as much as every 3 years currently with an expected increase to every 73 days by the early 2020s. For overwhelmed researchers navigating the growing stack of science literature -- the value isn't in having so much new information, but finding relevant insights when they need them. According to Jacobo Elosua, a co-founder of Iris AI -- a Singularity University portfolio company -- the research process is very often tedious and unfruitful.