MPI (Message Passing Interface) is the de facto standard distributed communications framework for scientific and commercial parallel distributed computing. The Intel MPI implementation is a core technology in the Intel Scalable System Framework that provides programmers a "drop-in" MPICH replacement library that can deliver the performance benefits of the Intel Omni-Path Architecture (Intel OPA) communications fabric plus high core count Intel Xeon and Intel Xeon Phi processors. "Drop-in" literally means that programmers can set an environmental variable to dynamically load the highly tuned and optimized Intel MPI library – no recompilation required! Of course, Intel's MPI library supports other communications fabrics including InfiniBand as well. Training a machine learning algorithm to accurately solve complex problems requires large amounts of data.

Even though we are social animals, managing relationships is not an easy task. Everyday interactions with people around us can become tricky as stress, anger, exhaustion, and other emotions start affecting the way we and others react to different situations. The inability to correctly "read" other people and understand how we should treat them causes disagreements and even fights. All these struggles have led to numerous investigations about humans' interactions, resulting in the creation of a term researchers Peter Salavoy and John Mayer coined Emotional Intelligence (EQ or EI). Recently, conversations about the relationship between EI and artificial intelligence have developed.

Exactly how that breaks down between the likes of, say, Universal Music Group and up-and-coming artists, YouTube doesn't say. In recent months, Content ID has been updated to use smarter fingerprinting that can detect tricks like stretching a video's aspect ratio, flipping the image horizontally, or slowing down the audio. It's also been plugged into Google's machine learning algorithms.

The Internet of Things will create a vast surge in the amount of data that we – and our devices – generate. To make sense of this trove of information will require the use of algorithms and artificial intelligence by researchers, firms, and government. Digital sifting creates both promise and peril, and is certain to clash with important social norms. For example, it may force us to revisit norms around privacy, ownership, prediction, and the public-private boundary. The Section on Internet and Computer Law welcomes submissions for papers about this clash.

Much virtual ink gets spilled each week enumerating the many horrors that could be ours in an AI-filled world, but top researchers in the field are already thinking ahead and making plans to ensure none of that happens. In particular, the importance of making artificial intelligence "human-aware" has come to be viewed as a top imperative for the field, earning it special status as an official theme of the International Joint Conference on Artificial Intelligence taking place this week in New York. "It's crucial that we design smart systems to work well with people," said Harvard professor Barbara Grosz during a panel discussion at the conference on Tuesday. Nominate your analytics project today! AI should be a complement for human intelligence, not a replacement, Grosz said.

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.