The Falcons are facing 3rd and goal on the Patriots' 5 yard line. Matt Ryan takes the snap and hands off to Devonta Freeman, already running hard at the goal line. Then, with a crunch audible to the topmost rows of NRG Stadium, Freeman is brought down by Dont'a Hightower right at the goal line. Silence falls as all eyes turn… not to the referees on the sidelines (there aren't any) but to giant LCD panels behind the end zones. The screens remain black for several long moments until "TOUCHDOWN" lights up.

Ian H. Witten is a professor of computer science at the University of Waikato in New Zealand. He directs the New Zealand Digital Library research project. His research interests include information retrieval, machine learning, text compression, and programming by demonstration. He received an MA in Mathematics from Cambridge University, England; an MSc in Computer Science from the University of Calgary, Canada; and a PhD in Electrical Engineering from Essex University, England. He is a fellow of the ACM and of the Royal Society of New Zealand.

Boeing will transition "many" of its commercial aviation analytics software products to run in Microsoft's Azure cloud. The two companies today said they had struck an agreement to help airlines "accelerate innovation in areas such as predictive maintenance and flight optimisation". Financial terms of the agreement were not disclosed. "[We're] teaming up to accelerate the digital transformation of aviation through the use of analytics-based applications, cloud technologies and large-scale integration," Boeing digital aviation vice president Kevin Crowley said. Microsoft said the collaboration would see artificial intelligence and IoT play greater roles in the aviation space.

You don't have to be a gambler to appreciate the complexities of the card game Texas Hold'Em. It involves a strategy that needs to evolve based on the players around the table, it takes a certain amount of intuition, and it doesn't require the player to win every hand. Just a few days ago, an artificial intelligence (AI) algorithm named Libratus beat four professional poker players at a no-limit Texas Hold'Em tournament played out over 20 days. If you have even the slightest understanding of how to write code, you would realize that it is impossible to actually code a software program to do that with such "imperfect information". The AI algorithm did exceptionally well and was utilizing strategies that humans had never used before.

A chatbot is an artificial person, animal or other creature which holds conversations with humans. This could be a text based (typed) conversation, a spoken conversation or even a non-verbal conversation. Chatbot can run on local computers and phones, though most of the time it is accessed through the internet. Chatbot is typically perceived as engaging software entity which humans can talk to. It can be interesting, inspiring and intriguing.

The Falcons are facing 3rd and goal on the Patriots' 5 yard line. Matt Ryan takes the snap and hands off to Devonta Freeman, already running hard at the goal line. Then, with a crunch audible to the topmost rows of NRG Stadium, Freeman is brought down by Dont'a Hightower right at the goal line. Touchdown?! Silence falls as all eyes turn… not to the referees on the sidelines (there aren't any) but to giant LCD panels behind the end zones. The screens remain black for several long moments until "TOUCHDOWN" lights up.

This short note proposes the study of ancient games as a new frontier for game AI research. This aspect of games research has been largely neglected so far from an AI perspective, but could benefit significantly from the application of modern computational techniques.

Real-time pricing (RTP) is an effective scheme for reducing peak demand, but it can lead to load synchronization , where a large amount of consumption is shifted from a typical peak time to a non-peak time, without reducing the peak demand. To address this issue, this paper presents a demand management method under RTP for the smart grid, that solves a large-scale of energy scheduling problem for households in an area. This is a distributed optimization method that finds the optimal consumption levels to minimize the total electricity cost while meeting the demands and preferences of households. Moreover, we propose to compute the probability distributions of start times for tasks, with which smart meters can quickly schedule tasks in practice, while matching the aggregate demand to the optimal consumption levels. The complexity of the optimization method is independent of the number households, which allows it to be applied to problems with realistic scales.

Money laundering is a major global problem, enabling criminal organisations to hide their ill-gotten gains and to finance further operations. Prevention of money laundering is seen as a high priority by many governments, however detection of money laundering without prior knowledge of predicate crimes remains a significant challenge. Previous detection systems have tended to focus on individuals, considering transaction histories and applying anomaly detection to identify suspicious behaviour. However, money laundering involves groups of collaborating individuals and evidence of money laundering may only be apparent when the collective behaviour of these groups is considered. In this paper we describe a detection system that is capable of analysing group behaviour, using a combination of network analysis and supervised learning. This system is designed for real-world application and operates on networks consisting of millions of interacting parties. Evaluation of the system using real-world data indicates that suspicious activity is successfully detected. Importantly, the system exhibits a low rate of false positives, and is therefore suitable for use in a live intelligence environment.

Machine learning focuses on the development of computer programs that can teach themselves to grow and adapt when exposed to new data. It is increasingly impacting our lives nowadays, as machines play an important role in banking and financial services, healthcare, retail, publishing, and in the social media, robot locomotion and gaming domains. When we start the journey of life as new born babies, we inherit the characteristics of our parents. We don't know what to do and when to do what. As we grow up, our parents and elders teach us how to walk, talk and take various decisions in our lives and, as time passes, we gain experience and knowledge.