It is the nature of humankind to constantly strive toward innovation and bring forth new inventions. Creativity, imagination and conscious reflection are distinguishing features of the human brain which cannot be copied by machines. However, the use of neuronal networks in machines such as AlphaGO is a prime example that demonstrates the extraordinary speed of development in the area of artificial intelligence (AI). The research and development relevant to AI represents a truly remarkable achievement in human culture. In the years ahead intelligent computers will improve the quality of life: They will diagnose illnesses, recommend therapies, protect the environment, support education and transform the way we work.

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At the International Symposium on Biomedical Imaging in Prague, a Harvard-based artificial intelligence system won the Camelyon16 challenge, a competition comprised of participants introducing their individual AI systems and its ability to facilitate automated lymph node metastasis diagnosis. Referred to as PathAl, the computing system identifies cancerous cells through a mechanism referred to as deep learning--an algorithmic technique that accumulates copious amounts of unstructured data and organizes it into clusters, before analyzing it for patterns. Deep learning is predominately utilized in speech recognition systems like Apple's Siri and Microsoft's Cortana. According to one of the challenge's organizers, Jeroen van der Laak of Radboud University Medical Center in Netherlands, the technology featured in the competition went "way beyond" his expectations, as the AI's accuracy proved strikingly close to that of human beings. In addition, van der Laak said AI technology has the propensity to intrinsically redefine the way histopathological images are handled in the medical community.

Everyone who gets going in Machine Learning (and Deep Learning) gets overwhelmed by the plethora of MOOCs available. Here, I try to give a comprehensive survey of such courses available freely on the internet. You can take this post as an complementary to this and this previous posts. I will try to highlight some important pointers such as the difficulty of the courses, the correct order in which these should to be completed, the right audience for these courses. You will get a feel of how these courses give you a stack of skills in your arsenal and how you can use them to develop practical machine learning systems.

Jeff Lesser, Twitter's Head of Social Customer Service, at the recent Corporate Social Media Summit New York said that customer service is the top reason why people follow brands on Twitter. Using social for customer care provides users with personalized service and is a great opportunity for brands to improve their image. Personalized customer service is harder to create with chatbots and this has created a large resistance to their growing popularity. Chatbots, better known as bots, are computer programs that conduct a conversation with auditory and/or textual methods. These programs attempt to mirror the personality and knowledge of a human.

Access Facebook from the western half of North America and there's a good chance your data will be pulled from a computer cooled by the juniper- and sage-scented air of central Oregon's high desert. In the town of Prineville, home to roughly 9,000 people, Facebook stores the data of hundreds of millions more. Rows and rows of computers stand inside four giant buildings totaling nearly 800,000 square feet, precisely aligned to let in the dry and generally cool summer winds that blow in from the northwest. The aisles of stacked servers with blinking blue and green lights make a dull roar as they process logins, likes, and LOLs. Facebook has lately added some new machines to the mix in Prineville.

Artificial intelligence is making miracles happen. A group of researchers at Massachusetts Institute of Technology (MIT) recently developed an AI that predicts social interactions. The core algorithm of their research is able to predict whether a person will go for a hug, handshake, high-five, or kiss. Like every AI, this algorithm also needs some data to train itself. The researchers at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) used television shows like "Desperate Housewives" and "The Office" to train the algorithm.

Techcrunch Disrupt is where some of the world's most game-changing technologies and innovations are first revealed. Didn't get a chance to go? Fear not. The clever folks at We Are Social have identified six of the most interesting themes and talks from this year's event in a Curiosity Stop Special. Here's a little taster of what we've included in the report. Security & Privacy The more we share on social, the more users freak out about companies using their personal data.

Artificial Intelligence is making its way into different fields in our technological world, this includes manufacturing, medical, construction and many others. U.K.-based company IntelligentX Brewing Company is creating beer using a combination of data science and artificial intelligence to brew the World's first beer brewed by artificial intelligence. IntelligentX Brewiing Company is a collaboration between machine learning startup Intelligent Layer and creative agency 10x. As of now, the company has created 4 variants of beer: Golden, Amber, Pale and Black. To be able to create this, they are using some cutting edge technology to do so.

The Turing test, the quintessential evaluation designed to determine if something is a computer or a human, may have a fatal flaw, new research suggests. The test currently can't determine if a person is talking to another human being or a robot if the person being interrogated simply chooses to stay silent, new research shows. While it's not news that the Turing test has flaws, the new study highlights just how limited the test is for answering deeper questions about artificial intelligence, said study co-author Kevin Warwick, a computer scientist at Coventry University in England. "As machines are getting more and more intelligent, whether they're actually thinking and whether we need to give them responsibilities are starting to become very serious questions," Warwick told Live Science. "Obviously, the Turing test is not the one which can tease them out." The now-famous Turing test was first described by British computer scientist Alan Turing in 1950 to address questions of when and how to determine if machines are sentient.