The problem of detecting communities in a graph is maybe one the most studied inference problems, given its simplicity and widespread diffusion among several disciplines. A very common benchmark for this problem is the stochastic block model or planted partition problem, where a phase transition takes place in the detection of the planted partition by changing the signal-to-noise ratio. Optimal algorithms for the detection exist which are based on spectral methods, but we show these are extremely sensible to slight modification in the generative model. Recently Javanmard, Montanari and Ricci-Tersenghi [13] have used statistical physics arguments, and numerical simulations to show that finding communities in the stochastic block model via semidefinite programming is quasi optimal. Further, the resulting semidefinite relaxation can be solved efficiently, and is very robust with respect to changes in the generative model. In this paper we study in detail several practical aspects of this new algorithm based on semidefinite programming for the detection of the planted partition.

"Our research shows that a growing number of customers actually prefer self-service channels to answer questions, resolve issues or complete transactions. Yet, automated handling often hits limitations when it comes to handling complex queries or'remembering' information previously mentioned in a conversation," says Dan Miller, Opus Research lead analyst. "As intelligent assistant technology evolves; we anticipate the emergence of highly specialized'intelligent advisors' that know when and how to involve a live agent. Inbenta's Hybrid Chat is the beginning of this progress." "As a transactional e-commerce-based company, having a superior digital customer support program is essential. You wouldn't make your brick and mortar customers search your store without helping them, so why not give them a personalized experience virtually," says Andreia Ferreira, Live Chat Manager, Ticketbis.

The study found that 55% of Canadian adults would like their employer to provide extended leave opportunities, 45% would prefer not to work at fixed times (i.e. "Flexibility and empowerment will be the new work currencies and productivity will be redefined," says Badminton. "Flexible payment schedules for workers will come into effect administered by automated systems that measure output, not hours put in." Finally, many people are also concerned that work is interfering with their personal lives. "Whether it's cutting corners to save time, or paying other people to do their job for them, Canadian adults are considering some unique ways to take back control at work" says Black.

Microsoft has created a new chat bot to "learn" from the internet… but she picked up a lot of bad habits. The tech company announced the launch of Tay this week, an artificial intelligence bot that is learning to talk like millennials by analysing conversations on Twitter, Facebook and the internet. The company's optimistic techies explained: "Tay is an artificial intelligent chat bot developed by Microsoft's Technology and Research and Bing teams to experiment with and conduct research on conversational understanding. "Tay is designed to engage and entertain people where they connect with each other online through casual and playful conversation. The more you chat with Tay the smarter she gets."

When speaking, your face may be saying more than you know, and it's speaking a language just about anyone can understand. One particular facial expression transcends language barriers, researchers at Ohio State University found. They dubbed the universal expression the "not face" because it punctuates negative sentiments, much like the word "not." The "not face" is a combination of a furrowed brow, pressed lips, and a raised chin. The researchers found that people make this expression when expressing a negation such as "I do not agree" or "I am not going to the party."

The web is full of good explanations of machine learning algorithms. And every second applicant for a data science position has finished the Coursera course on machine learning. Theory will not help you choose good values for the 16 parameters a standard implementation of a random forest takes. The default values are good to get started, but which parameters should you modify depending on your data? Choosing the right features, algorithms and parameters is an art.

WATERLOO, ON--(Marketwired - Mar 29, 2016) - Maluuba, a deep-learning company helping machines think, reason and communicate with human-like intelligence, today announced it has opened an R&D lab in Montreal. As part of the labs, Maluuba has partnered with machine learning and neural computation expert, Yoshua Bengio from the Montreal Institute for Learning Algorithms (MILA) and reinforcement learning expert Richard Sutton from the Alberta Innovates Centre for Machine Learning, to further Natural Language Understanding (NLU) and artificial intelligence (AI) advances. The research lab, staffed by 13 deep learning research scientists, is led by Maluuba's CTO, Kaheer Suleman, an information retrieval and artificial intelligence expert. With a focus on the development of proprietary algorithms to solve language problems, Maluuba's goal is to build the world's most advanced research facility in deep learning and AI. "While we're closer to the goal of getting machines to exercise reasoning and understand conversational language, we still have a long way to go," said Yoshua Bengio.

Join us live at Entrepreneur's Accelerate Your Business event series in Chicago or Denver. But the time may come soon since an AI recently impressed judges of a Japanese literary prize. The novella, The Day a Computer Writes a Novel, was co-written and edited by a team of humans. The story itself follows a computer program as it recognizes its talent for writing and leaves behind its preprogrammed duties. Initially, the book was included in the group of 11 AI-authored submissions allowed to enter the contest for the Hoshi Shinichi Literary Award, according to Smithsonianmag.com.

For such a vital human capacity, consciousness is still a mystery to us. The question "What is consciousness?" has long been explored by philosophers but traditionally shunned by scientists, "because it was considered'spooky' or too vague or new-agey", according to author Andrew Smart. But that is starting to change, with neuroscientists and theorists in artificial intelligence joining the quest to locate what might be called the defining characteristic of humanity. Smart's new book Beyond Zero and One: Machines, Psychedelics and Consciousness puts forward a tantalising hypothesis: that consciousness is a type of hallucination that may have evolved through the aeons as a survival mechanism. To answer the question "What is consciousness?" one must imagine how a computer could become human, he says.

Prerequisites: No prerequisites, knowledge of some undergraduate level mathematics would help but is not mandatory. Working knowledge of Python would be helpful if you want to run the source code that is provided. Taught by a Stanford-educated, ex-Googler and an IIT, IIM - educated ex-Flipkart lead analyst. This team has decades of practical experience in quant trading, analytics and e-commerce. The course is shy but confident: It is authoritative, drawn from decades of practical experience -but shies away from needlessly complicating stuff.