We consider a challenging multi-label classification problem where both feature matrix $\X$ and label matrix $\Y$ have missing entries. An existing method concatenated $\X$ and $\Y$ as $[\X; \Y]$ and applied a matrix completion (MC) method to fill the missing entries, under the assumption that $[\X; \Y]$ is of low-rank. However, since entries of $\Y$ take binary values in the multi-label setting, it is unlikely that $\Y$ is of low-rank. Moreover, such assumption implies a linear relationship between $\X$ and $\Y$ which may not hold in practice. In this paper, we consider a latent matrix $\Z$ that produces the probability $\sigma(Z_{ij})$ of generating label $Y_{ij}$, where $\sigma(\cdot)$ is nonlinear. Considering label correlation, we assume $[\X; \Z]$ is of low-rank, and propose an MC algorithm based on subgradient descent named co-completion (COCO) motivated by elastic net and one-bit MC. We give a theoretical bound on the recovery effect of COCO and demonstrate its practical usefulness through experiments.

Training a task-completion dialogue agent via reinforcement learning (RL) is costly because it requires many interactions with real users. One common alternative is to use a user simulator. However, a user simulator usually lacks the language complexity of human interlocutors and the biases in its design may tend to degrade the agent. To address these issues, we present Deep Dyna-Q, which to our knowledge is the first deep RL framework that integrates planning for task-completion dialogue policy learning. We incorporate into the dialogue agent a model of the environment, referred to as the world model, to mimic real user response and generate simulated experience. During dialogue policy learning, the world model is constantly updated with real user experience to approach real user behavior, and in turn, the dialogue agent is optimized using both real experience and simulated experience. The effectiveness of our approach is demonstrated on a movie-ticket booking task in both simulated and human-in-the-loop settings.

The report expects the global Artificial Intelligence (AI) in construction market to grow from USD 407.2 Million in 2018 to USD 1,831.0 The rising demand for AI-based solutions and platforms, the need for more safety measures at construction sites, and the capabilities of AI solutions and services to reduce the production costs are expected to drive the growth of the AI in construction market. The component segment has been further segmented into solutions and services. The solutions segment is expected to have the larger market size. AI in construction solutions play a vital role in the efficient and effective functioning of construction businesses using Natural Language Processing (NLP); and machine learning and deep learning technologies.

Microsoft unveiled its chatbot Xiaoice -- which translates to "little Bing" -- Wednesday on the heels of Google's controversial rollout of a similar tool earlier this month. Microsoft has already tested the talkative robot in China, where it's earned 500 million users and some level of fame. "Xiaoice has her own TV show, it writes poetry, and it does many interesting things," said Microsoft CEO Satya Nadella at the demo first reported by The Verge. The demo included a phone call between a user and the bot, in Mandarin. The flow sounded natural thanks to Xiaoice's human-like interruptions, made possible due to predictive listening, Microsoft explained in a recent blog post.

The graph represents a network of 3,590 Twitter users whose tweets in the requested range contained "futureofwork ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 22 May 2018 at 14:48 UTC. The requested start date was Tuesday, 22 May 2018 at 00:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 5,000. The tweets in the network were tweeted over the 1-day, 22-hour, 57-minute period from Sunday, 20 May 2018 at 01:02 UTC to Tuesday, 22 May 2018 at 00:00 UTC.

It was the first day of school in Russia, a much-beloved unofficial holiday, and President Vladimir Putin was on stage in a national TV broadcast, chatting with jeans-clad teenagers about the future. "Artificial intelligence is the future," he told them, "not only for Russia, but for all humankind. It comes with colossal opportunities, but also threats that are difficult to predict. Whoever becomes the leader in this sphere will become the ruler of the world." Then, this March, in the final moments of Putin's re-election campaign, came a stern message to lawmakers at his annual address to parliament: "The speed of technological progress is accelerating sharply... Those who manage to ride this technological wave will surge far ahead. Those who fail to do this will be submerged and drown."

Google has been on the hot seat in recent weeks after it revealed a new technology called'Duplex' where its AI assistant is capable of making real phone calls, raising ethical questions in the process. But it appears that Google isn't the only Silicon Valley giant dabbling in this technology. Microsoft has been showing off a similar product, dubbed Xiaoice, that can call you up and hold a natural conversation in real-time. However, it can only speak Chinese for now. Microsoft has been showing off its conversational artificial intelligence chatbot, called Xiaoice.

Artificial intelligence (AI) could add $182bn to the United Arab Emirates (UAE) economy and $215bn to Saudi Arabia by 2035, according to a new report from Accenture. The report looks at 15 industries in the UAE and 13 in Saudi Arabia to determine the potential sector-specific impacts across the Middle East. The research finds that in the UAE, AI will have the greatest impacts on financial services, healthcare, and transport/storage, with increases of $37bn, $22bn and $19bn, respectively, in their annual gross value added (GVA), which measures the output value of all goods and services in a sector. Even labour-intensive sectors – such as construction and education – will see an increase of $8bn and $6bn, respectively, over the same period, with AI enabling people to be more productive, thus leading to gains in profitability. The effects of AI will be similarly dramatic in neighbouring Saudi Arabia, where it is expected to increase GVA by $215bn.

The Mobile Virtual Network Operator (MVNO) business model first emerged in Japan in 1997. Since then, the global MVNO subscriber base has steadily grown and is expected to soon exceed the 300-million landmark. It is currently growing five times faster than the operator segment. The MVNO business market has however, always been controversial. Despite its success, many MVNOs struggle financially and many fail a few months after their much-hyped launch.

India will enlist the help of artificial intelligence to develop weapons, defense, and surveillance systems, government officials announced today. "The world is moving towards an artificial intelligence-driven ecosystem," Dr. Ajay Kumar, secretary at the defense ministry, said in a statement. "India is also taking necessary steps to prepare our defense forces for the war of the future." A 17-person task force is working on an AI roadmap for India's armed forces, the Times of India reports. Within the next two years, the task force will recommend ways machine learning can be incorporated into the country's aviation, naval, land, cybersecurity, nuclear, and biological resources, specifically as it relates to the areas of autonomous weapons systems and unmanned surveillance.