We invite all researchers to submit their manuscripts for review. Please address questions to: hrlnips2017@gmail.com Reinforcement Learning (RL) has become a powerful tool for tackling complex sequential decision-making problems as demonstrated in high-dimensional robotics or game-playing domains. Nevertheless, modern RL methods have considerable difficulties when facing sparse rewards, long planning horizons, and more generally a scarcity of useful supervision signals. Hierarchical Reinforcement Learning (HRL) is emerging as a key component for finding spatio-temporal abstractions and behavioral patterns that can guide the discovery of useful large-scale control architectures, both for deep-network representations and for analytic and optimal-control methods.

One of the most consistent problems surfacing in our discussions about IoT is the actual scope of "what exactly is IoT and what and who does it involve". To technical people, IoT is what they perceive it to be from their active role. It might be a cloud offering, some sensor data, a connectivity solution, a robotics solution or Artificial Intelligence application. They would all be correct but they lack the appropriate context in which to provide valid inputs. To business people, their interpretation may be "it's a security nightmare" or a "huge opportunity".

Complete Guide to TensorFlow for Deep Learning with Python http://learn.codetrick.net/p/BJT8gGKsb Learn Python in a Day http://learn.codetrick.net/p/S1hmixcj-

The AAAI-17 workshop program included 17 workshops covering a wide range of topics in AI. Workshops were held Sunday and Monday, February 4-5, 2017 at the Hilton San Francisco Union Square in San Francisco, California, USA. This report contains summaries of 12 of the workshops, and brief abstracts of the remaining 5

Last week, experts from the AI world came together for the Artificial Intelligence Conference at San Francisco to discuss insights, opportunities, challenges and trends related to the rapidly expanding field of AI. The conference included hands-on trainings, tutorials, startup showcase (which was won by PipelineAI), keynotes, sessions, expo, and social events. Rana el Kaliouby, Co-founder and CEO, Affectiva gave the opening keynote on "The inevitable merger of IQ and EQ in technology". She shared her bold vision of making machines "emotion-aware" through understanding human emotions, gestures, conversations, facial expressions and tone of voice. As we design AI products and services, we need to embed in them not just high IQ but also high EQ, because emotions are a big part of human life.

Machine learning may sound like an overwhelmingly complicated concept rather than a data-driven method to extract insights that drive future business decisions. To fully utilize machine learning, we first need to understand the benefits to our organization, and the techniques to create models based on questions we need to answer. In this webinar series, we will show you how to easily and automatically apply complex algorithms to data in real world applications.

Apple has released the first public test version of an 11.1 update to its iOS software amid growing complaints from users over the software. It comes just two weeks after the software was released - and a week after Apple was forced to issue an'emergency' 11.0.1 update to deal with major issues. However, it appears many users are still suffering problems ranging from app crashes to reboots, causing Apple to issue a'beta' update of an 11.1 version of the controversial software. The latest update comes just two weeks after the software was released - and a week after Apple was forced to issue an'emergency' 11.0.1 update to deal with major issues. Beta testers who have signed up for will receive the iOS 11.1 beta update over-the-air after installing the proper certificate on an iOS device.

Artificial Intelligence (AI) is the next big thing, but how can you use it to create a better learning experience? Look at any list of disruptive technologies and AI is likely to be at the top, it's the latest tech buzzword to take over the news media. As an L&D professional, what should you be paying close attention to? And what's safe to ignore? Our round up of the more useful applications of AI for learning includes many of the leading examples from academia and adult education that will be filtering their way into the workplace learning environment as AI becomes more widespread.

AUCKLAND, NEW ZEALAND - AUGUST 03: Isuru Fernando of IBM speaks during the TILT / Fresh Directions In Healthcare Marketing seminar on August 3, 2017 in Auckland, New Zealand. TILT is an interactive seminar designed to inspire healthcare marketers to use digital tools to communicate with their customers. In May 2014, IBM announced the acquisition of an AI startup, Cognea, that developed a cognitive computing and conversational artificial intelligence platform. IBM aimed to integrate it with Watson, the company's question-answering supercomputer, for more real conversations with users. Since then, it's been a wave of sorts with technology companies like Facebook, Microsoft, Google, Amazon and others investing in their own AI efforts while acquiring several startups in the space.

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