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The Conversational Intelligence Challenge 2 (ConvAI2) by DeepPavlov

#artificialintelligence

There are currently few datasets appropriate for training and evaluating models for non-goal-oriented dialogue systems (chatbots); and equally problematic, there is currently no standard procedure for evaluating such models beyond the classic Turing test. The aim of our competition is therefore to establish a concrete scenario for testing chatbots that aim to engage humans, and become a standard evaluation tool in order to make such systems directly comparable. This is the second Conversational Intelligence (ConvAI) Challenge. The previous one was conducted under the scope of NIPS 2017 Competitions track. The winning entry will receive $20,000 in Mechanical Turk funding – in order to encourage further data collection for dialogue research.


DeepPavlov: an open-source library for end-to-end dialog systems and chatbots

#artificialintelligence

Dialogue systems have recently become a standard in human-machine interaction, with chatbots appearing in almost every industry to simplify the interaction between people and computers. They can be integrated into websites, messaging platforms, and devices. Chatbots are on the rise, and companies are choosing to delegate routine tasks to chatbots rather than humans, thus providing huge labor cost savings. Unlike humans, chatbots are capable of processing multiple user requests at a time and are always available. However, many companies don't know where to start when developing a bot to meet their business needs.


DeepPavlov: an open-source library for end-to-end dialog systems and chatbots

#artificialintelligence

Dialogue systems have recently become a standard in human-machine interaction, with chatbots appearing in almost every industry to simplify the interaction between people and computers. They can be integrated into websites, messaging platforms, and devices. Chatbots are on the rise, and companies are choosing to delegate routine tasks to chatbots rather than humans, thus providing huge labor cost savings. Unlike humans, chatbots are capable of processing multiple user requests at a time and are always available. However, many companies don't know where to start when developing a bot to meet their business needs.


TiVo is developing a new set-top box user interface that can also run on top of Android

PCWorld

You might still think of TiVo as a DVR company, but this year a different strategy is starting to emerge. TiVo didn't bring any consumer hardware to CES 2017; instead, the company showed off a brand-new TiVo interface--first announced last September--that tries to predict what you might watch based on past viewing patterns. That new interface should become available for the entire TiVo customer base this year, says Paul Stathacopoulos, TiVo's vice president of strategy. It can also run on Android, paving the way for new streaming devices with TiVo's recommendations, browsing experience, and search on top. TiVo's emphasis on software, rather than hardware, at CES shouldn't be a huge surprise.


The First Step Towards Responsible AI Needs To Be About People Not Strategy

#artificialintelligence

I was recently consulting for an organisation that was looking to implement a framework to govern the implementation of Artificial Intelligence (AI) technologies. Like many organisations in their sector, they had been running various'lab' experiments for some time, and had seen positive results; but there was still something holding them back from wholesale investment. A major consulting firm had encouraged them to'accelerate' their innovation by using a framework to govern the roll-out. I asked them where they felt it needed more focus, and they responded saying that it felt somewhat vanilla, a re-hashing of any-old IT project management best practice. "Surely there is something different about AI", they asked?