Automatic text summarization (ATS) has recently achieved impressive performance thanks to recent advances in deep learning and the availability of large-scale corpora. To make the summarization results more faithful, this paper presents an unsupervised approach that combines rhetorical structure theory, deep neural model and domain knowledge concern for ATS. This architecture mainly contains three components: domain knowledge base construction based on representation learning, attentional encoder-decoder model for rhetorical parsing and subroutine-based model for text summarization. Domain knowledge can be effectively used for unsupervised rhetorical parsing thus rhetorical structure trees for each document can be derived. In the unsupervised rhetorical parsing module, the idea of translation was adopted to alleviate the problem of data scarcity. The subroutine-based summarization model purely depends on the derived rhetorical structure trees and can generate content-balanced results. To evaluate the summary results without golden standard, we proposed an unsupervised evaluation metric, whose hyper-parameters were tuned by supervised learning. Experimental results show that, on a large-scale Chinese dataset, our proposed approach can obtain comparable performances compared with existing methods.

--Angry Birds is a popular video game in which the player is provided with a sequence of birds to shoot from a slingshot. The task of the game is to destroy all green pigs with maximum possible score. Angry Birds appears to be a difficult task to solve for artificially intelligent agents due to the sequential decision-making, non-deterministic game environment, enormous state and action spaces and requirement to differentiate between multiple birds, their abilities and optimum tapping times. We describe the application of Deep Reinforcement learning by implementing Double Dueling Deep Q-network to play Angry Birds game. One of our main goals was to build an agent that is able to compete with previous participants and humans on the first 21 levels. In order to do so, we have collected a dataset of game frames that we used to train our agent on. We evaluate our agent using results of the previous participants of AIBirds competition, results of volunteer human players and present the results of AIBirds 2018 competition. I NTRODUCTION Angry Birds has been one of the most popular video games for a period of several years. The main goal of the game is to kill all green pigs on the level together with applying as much damage as possible to the surrounding structures.

Royal Caribbean International is looking to artificial intelligence (AI) to help manage the millions of price points it offers. "Even within each ship there are multiple inventory types ranging from a typical interior cabin, the most basic stay, to areas that can hold up to 12 people and are over 1,000 square feet," Michael Goldner, Vice president, Revenue Management, Royal Caribbean International, told Hospitality Net. Dream Cruises to Debut World's Longest Roller Coaster at... Virgin Voyages Will Allow Cruisers to'Shake for Champagne... For a long time, inventory has typically been managed manually by a team of revenue management analysts. However, it's appearing more likely that, in the future, these analysts will be managing controls to change the price rather than relying on a system to manually change it.

Royal Caribbean International is looking to artificial intelligence (AI) to help manage the millions of price points it offers. "Even within each ship there are multiple inventory types ranging from a typical interior cabin, the most basic stay, to areas that can hold up to 12 people and are over 1,000 square feet," Michael Goldner, Vice president, Revenue Management, Royal Caribbean International, told Hospitality Net. Dream Cruises to Debut World's Longest Roller Coaster at... Virgin Voyages Will Allow Cruisers to'Shake for Champagne... For a long time, inventory has typically been managed manually by a team of revenue management analysts. However, it's appearing more likely that, in the future, these analysts will be managing controls to change the price rather than relying on a system to manually change it.

Have your subject line writing strategies and tactics kept up with the times? Check and see if you're accounting for these six changes in subject line writing, going from the oldest to the newest trend: Everyone knows that subject lines are super important. That's why they're the most tested email element. However, preview text is also really important, since it's the third piece of envelope content, along with the sender name and subject line. But it gets far less attention and is less than half as likely as subject lines to be regularly A/B tested.

Microsoft's 2019 Surface event is just hours away, so before we kick off coverage at 10AM ET, it's time to lay out everything we're hoping to see unveiled. Also, Nintendo released a major upgrade for Super Mario Maker 2, and we have a review of the latest GoPro action camera. Its AI can avoid objects even when you're flying in manual mode.Skydio's next self-flying drone is ready to take on DJI According to the company, the Skydio 2 is much closer to its true vision: a practical, truly autonomous drone that also does anything a regular drone can. Unlike its previous effort, the R1, this drops the price from $2,500 to $999, is more practical to carry around and comes with a better camera that can shoot 4K at 60 frames per second. You don't have to play with randos anymore.You can finally play online with your friends on'Super Mario Maker 2' Nintendo has finally rolled out the ability to play with friends online in Super Mario Maker 2. The game launched with online co-op and competitive modes, but you could only play with random people via matchmaking -- if you wanted to play with friends, local play was your only option.

Siddhant T. is a lawyer who is so concerned about his privacy that he wanted his name changed for this story. And so, when an airline representative at New Delhi's Indira Gandhi airport suggested he check in with his face for a flight to Bangalore in September, he bristled -- and then declined. The representative looked confused and called a befuddled supervisor, who repeated what his colleague had said. "I just sort of looked at them in disbelief," said Siddhant, "and then shuffled off immediately to check in the old-fashioned way." Later that day, he posted a picture of his boarding pass to his Instagram.

AI has revolutionised various fields. Many industries are rapidly adopting AI to help their workforce in everyday operations, and it is predicted that 1.5 million jobs in England will be replaced by the technology. While in some cases AI has worked to benefit people and relieve humans of repetitive and mundane tasks, the rapid advancement of AI has also left ethically questionable'solutions' that are worth discussing. Below, we'll be looking at various applications of AI in workforce management and beyond. We'll be covering the benefits as well asking whether AI in the workforce is ethically irresponsible with examples from the UK and around the world. In this rather fast-paced world that we live in, managers can't be in multiple places at once.

Are you sure you want to view these Tweets? Download this eBook (47-page PDF) -- The #Mathematics needed in preparation for an introductory class in #MachineLearning: http://bit.ly/2NtsX8y Lip-Reading #Drones, Emotion-Detecting Cameras: How #AI Is Changing The World http://10daily.com.au/news/a190828yp Quantum computing: leaping out of the lab and into our lives #CTO #Consulting #FAGMA #GovTech #HealthTech As IBM and Google compete to dominate quantum computing, many wonder what this growing field has to offer ... @SwissCognitive - The Global AI Hubhttp://bit.ly/2ARBwC2 Lip-Reading #Drones, Emotion-Detecting Cameras: How #AI Is Changing The World http://10daily.com.au/news/a190828yp

"The tantalizing promise of quantum computers is that certain computational tasks might be executed exponentially faster on a quantum processor than on a classical processor. A fundamental challenge is to build a high-fidelity processor capable of running quantum algorithms in an exponentially large computational space. Here, we report using a processor with programmable superconducting qubits to create quantum states on 53 qubits, occupying a state space 253 1016. Measurements from repeated experiments sample the corresponding probability distribution, which we verify using classical simulations. While our processor takes about 200 seconds to sample one instance of the quantum circuit 1 million times, a state-of-the-art supercomputer would require approximately 10,000 years to perform the equivalent task. This dramatic speedup relative to all known classical algorithms provides an experimental realization of quantum supremacy on a computational task and heralds the advent of a much-anticipated computing paradigm." It is fascinating to consider what will happen next in the intersection of quantum information and artificial intelligence. It is also hard to tell where it will lead, perhaps a new computing paradigm?