Stylistic dialogue response generation, with valuable applications in personality-based conversational agents, is a challenging task because the response needs to be fluent, contextually-relevant, as well as paralinguistically accurate. Moreover, parallel datasets for regular-to-stylistic pairs are usually unavailable. We present three weakly-supervised models that can generate diverse polite (or rude) dialogue responses without parallel data. Our late fusion model (Fusion) merges the decoder of an encoder-attention-decoder dialogue model with a language model trained on stand-alone polite utterances. Our label-fine-tuning (LFT) model prepends to each source sequence a politeness-score scaled label (predicted by our state-of-the-art politeness classifier) during training, and at test time is able to generate polite, neutral, and rude responses by simply scaling the label embedding by the corresponding score. Our reinforcement learning model (Polite-RL) encourages politeness generation by assigning rewards proportional to the politeness classifier score of the sampled response. We also present two retrieval-based polite dialogue model baselines. Human evaluation validates that while the Fusion and the retrieval-based models achieve politeness with poorer context-relevance, the LFT and Polite-RL models can produce significantly more polite responses without sacrificing dialogue quality.

In this interview, Gary Golomb, co-founder at Awake Security, talks about how machine learning help develop a scalable enterprise cybersecurity plan, what technologies can make a security analyst's job easier, he outlines the essential building blocks of a modern SOC, and much more. We've been hearing a lot about machine learning and ways it can empower the infosec industry. What CISOs are wondering is how, in reality, can machine learning help develop a scalable enterprise cybersecurity plan? There are things that AI or ML are good for in an enterprise security plan and things they are not good for. Unfortunately, I think a lot of the marketing around machine learning and AI in security has focused on how they can be a solution to the skills crisis. "With AI or ML, you don't need people anymore, solution will automate, and things will just work." The reality is a bit different.

In the interview, Joseph spoke about its successful ICO lead beginning of the year and which gathered more than $2 million while the market was dumping. "Finally, even if the market is bad, we are still in a strong period of investment in this new technology that is the Blockchain, and people just recognize the utility of our application and the power of the AI that we are developing." Using IBM Watson, Daneel is probably one of the most advanced AI financial assistance on the market and promises to be a game changer when the product is released by the end of the year. We had the pleasure to interview the CEO and founder, Joseph Bedminster. Actually, me and my entourage, as early investors, we found this problem of overabundance and non-truthfulness of information the crypto space.

The "Deus Ex" series was not canceled. This is what Eidos Montreal studio head David Anfossi confirmed recently. The project has been put on the back burner as the developer focuses its attention on completing "Shadow of the Tomb Raider." A video interview from last week shows Anfossi being asked about "Deus Ex" and he set the record straight by saying that Eidos Montreal did not forget about the series at all. "It's not dead," he said before adding that they are still thinking about the franchise's future.

Lisha Li is a principal at Amplify Partners, focusing on investments in early-stage startups that leverage Machine Learning and Distributed Systems to solve problems at scale. Her Ph.D. at UC Berkeley, working with Prof David Aldous and Prof Joan Bruna, was on Deep Learning and Probability applied to the problem of clustering in graphs. She was the subject of French filmmaker Olivier Peyon's two movies: Portrait of a Mathematician Lady (an ode, perhaps to Henry James' The Portrait of a Lady) and Different Sizes of Infinity. You can follow her on twitter @lishali88. Jitendra Mudhol: Thank you for this interview.

Ten years ago, if you mentioned the term "artificial intelligence" in a boardroom there's a good chance you would have been laughed at. For most people it would bring to mind sentient, sci-fi machines such as 2001: A Space Odyssey's HAL or Star Trek's Data. Today it is one of the hottest buzzwords in business and industry. AI technology is a crucial lynchpin of much of the digital transformation taking place today as organizations position themselves to capitalize on the ever-growing amount of data being generated and collected. So how has this change come about?

The quest to give machines human-level intelligence has been around for decades, and it has captured imaginations for far longer -- think of Mary Shelley's Frankenstein in the 19th century. Artificial intelligence, or AI, was born in the 1950s, with boom cycles leading to busts as scientists failed time and again to make machines act and think like the human brain. But this time could be different because of a major breakthrough -- deep learning, where data structures are set up like the brain's neural network to let computers learn on their own. Together with advances in computing power and scale, AI is making big strides today like never before. Frank Chen, a partner specializing in AI at top venture capital firm Andreessen Horowitz, makes a case that AI could be entering a golden age.

In 1963, the American psychologist and computer scientist J. C. R. Licklider wrote a series of forward-thinking, perhaps even visionary, memos that he addressed to the "Members and Affiliates of the Intergalactic Computer Network." Just over half a century later, his foresight sits at the center of a global transformation as organizations strive to become truly intelligent. This transformation is both driven and underpinned by cloud computing technology – itself arguably representing a further iteration of Licklider's early theories. Simply put, cloud computing makes it possible for users to access data, applications, and services over the Internet and ultimately provides the foundation for the intelligent enterprise which is ready for tomorrow's world. The cloud eliminates the need for costly hardware, such as hard drives and servers – and gives users the ability to work from anywhere.As such, cloud software offers several distinct advantages that help sharpen a company'scompetitive edge: It speeds up processes, makes them easier, and above all smarter – all aiming at realizing a company's intelligent enterprise.

Better Life Lab is a partnership of Slate and New America. For decades, it's been a mainstream political taboo to make a full-throated case for redistribution. Very suddenly, however, a few conservative commentators have begun to warm up to the idea--but not for the reasons you might suspect. Indeed, what's pushed these conservatives to reconsider the merits of transferring goods and services from the "haves" to the "have-nots" is the rise of the violent "incel"--that is, the involuntarily celibate man who scorns women for "denying" him the sexual gratification he feels is his right. In a recent New York Times op-ed piece, right-leaning columnist Ross Douthat takes seriously the discontent expressed by murderous "incels" (such as Elliot Rodger and, more recently, Toronto van-attack suspect Alek Minassian) and ruminates over the question of whether society ought to use redistributive measures to give these men their "due," the better to pacify them and stave off more violence. To make his case for the "inevitability" of state intervention to satisfy disgruntled incels, Douthat lumps together technocratic, dehumanizing ramblings from the fringes of the libertarian right, on the one hand, and genuinely rigorous and probing leftist philosophical reflections on the matter from Amia Srinivasan, on the other.

US-based legal AI pioneer, Seal Software, has been named a'Cool Vendor' for 2018 by influential global research company Gartner. Last year, another pioneering legal AI company, Neota Logic, was also named as a cool vendor by Gartner, an accolade that is much-valued by companies of all types around the world. The title was given via a Gartner report that evaluates'interesting, new and innovative vendors in the content services market'. Ulf Zetterberg, co-founder and CEO of Seal Software, said: 'It is an honour to be named a Gartner Cool Vendor. As the world's largest research and advisory firm Gartner is highly respected for its razor sharp anaylsis and advice, so it is extremely pleasing for Seal to be recognized in this report.'