In human conversations, due to their personalities in mind, people can easily carry out and maintain the conversations. Giving conversational context with persona information to a chatbot, how to exploit the information to generate diverse and sustainable conversations is still a non-trivial task. Previous work on persona-based conversational models successfully make use of predefined persona information and have shown great promise in delivering more realistic responses. And they all learn with the assumption that given a source input, there is only one target response. However, in human conversations, there are massive appropriate responses to a given input message. In this paper, we propose a memory-augmented architecture to exploit persona information from context and incorporate a conditional variational autoencoder model together to generate diverse and sustainable conversations. We evaluate the proposed model on a benchmark persona-chat dataset. Both automatic and human evaluations show that our model can deliver more diverse and more engaging persona-based responses than baseline approaches.

This is true now just as much as it's ever been, if not more so, because of technology's mighty influence. These disruptive innovations are transforming the world as we know it -- from simplifying our personal lives to refashioning numerous industries. Sometimes these innovations are fleeting, like in the case of Google Glass, while others are steadfast fixtures of our daily lives -- could you imagine life without a smartphone? The reasons why software and products fail are threefold: either the technology behind it was second-rate, it didn't solve a problem, or consumers were unsure of its purpose. All three of these elements must be manifest in any software or product for it to work, and work well.

The U.S. and China are locked in an increasingly heated struggle for superpower status. Many perceived this confrontation initially only through the lenses of a trade war. However, the ZTE "saga" already indicated the issue was broader and involved a battle for supremacy over 21st century technologies and, relatedly, for international power (see When AI Started Creating AI – Artificial Intelligence and Computing Power, 7 May 2018). The technological battle increasingly looks like a fight to the death, with the offensive against Huawei, aiming notably to protect future 5G networks (Cassell Bryan-Low, Colin Packham, David Lague, Steve Stecklow And Jack Stubbs, "The China Challenge: the 5G Fight", Reuters Investigates, 21 May 2019). For Huawei and China, as well as for the world, consequences are far reaching, as, after Google "stopping Huawei's Android license", and an Intel and Qualcomm ban, the British chip designer ARM, held notably by Japanese Softbank, now stops relations with Huawei (Paul Sandle, "ARM supply halt deals fresh blow to Chinese tech giant Huawei", Reuters, 22 May 2019; "DealBook Briefing: The Huawei Backlash Goes Global", The New York Times, 23 May 2019; Tom Warren, "Huawei's Android And Windows Alternatives Are Destined For Failure", The Verge, 23 May 2019). The highly possible coming American move against Chinese Hikvision, one of the largest world producers of video surveillance systems involving notably "artificial intelligence, speech monitoring and genetic testing" would only further confirm the American offensive (Doina Chiacu, Stella Qi, "Trump says'dangerous' Huawei could be included in U.S.-China trade deal", Reuters, 23 May 2019; Ana Swanson and Edward Wong, "Trump Administration Could Blacklist China's Hikvision, a Surveillance Firm", The New York Times, 21 May 2019). China, for its part, answers to both the trade war and the technological fight with an ideologically martial mobilisation of its population along the lines of "People's War", "The Long March", and changing TV scheduling to broadcast war films (Iris Zhao and Alan Weedon, "Chinese television suddenly switches scheduling to anti-American films amid US-China trade war", ABC News, 20 May 2019; Michael Martina, David Lawder, "Prepare for difficult times, China's Xi urges as trade war simmers", Reuters, 22 May 2019). This highlights how much is as stake for the Middle Kingdom, as we explained previously ( Sensor and Actuator (4): Artificial Intelligence, the Long March towards Advanced Robots and Geopolitics).

This week, I interviewed Yuval Noah Harari, the author of three best-selling books about the history and future of our species, and Fei-Fei Li, one of the pioneers in the field of artificial intelligence. The event was hosted by the Stanford Center for Ethics and Society, the Stanford Institute for Human-Centered Artificial Intelligence, and the Stanford Humanities Center. A transcript of the event follows, and a video is posted below. Nicholas Thompson: Thank you, Stanford, for inviting us all here. I want this conversation to have three parts: First, lay out where we are; then talk about some of the choices we have to make now; and last, talk about some advice for all the wonderful people in the hall. Yuval, the last time we talked, you said many, many brilliant things, but one that stuck out was a line where you said, "We are not just in a technological crisis. We are in a philosophical crisis." So explain what you meant and explain how it ties to AI. Let's get going with a note of ...

NEW YORK, May 27, 2019 /PRNewswire-PRWeb/ -- TTEK Inc. and Altana Trade today jointly announced their Alliance Agreement to deliver integrated technology solutions in trade risk management. As part of the alliance, TTEK will promote Altana Trade's products for data fusion and artificial intelligence-based risk management to government agencies worldwide. Altana will similarly incorporate TTEK's risk analytics and risk management workflow software in its solutions for financial services providers, multinationals, and logistics providers. TTEK is a rapidly growing provider of customs administration and risk management software and consulting services. With a global customer base and a team comprised of more than 150 of the world's preeminent customs modernization and risk management experts, TTEK helps to facilitate legal trade, enable systems interoperability and inter-agency coordination, and selectively target and inspect high-risk border flows.

Did you know that Artificial Intelligence will contribute a whopping $15.7 trillion to the global economy by 2030!? In addition to economic benefits, AI is also responsible for making our lives simpler. This article on Benefits Of Artificial Intelligence will help you understand how Artificial Intelligence is impacting all domains of our life and at last benefiting humankind. I'll be discussing the benefits of Artificial Intelligence in the following domains: To get in-depth knowledge of Artificial Intelligence & Machine Learning, you can enroll for live Machine Learning Engineer Master Program by Edureka with 24/7 support and lifetime access. Artificial Intelligence can be used to automate anything ranging from tasks that involve extreme labor to the process of recruitment.

Above: Arm wants to make 5G computing as fast as it can be. Arm introduced new versions of its designs for heavy-duty central processing units (CPUs), graphics chips, and machine learning chips. The company made the announcement at the Computex tech trade show in Taiwan. The Cambridge, England-based company announced the Arm Cortex-A77 CPU, the Arm Mali-G77 graphics processing unit (GPU), and the Arm Machine Learning processor. Those new chips will help Arm get ready for the 5G wireless networking era.

Here are the videos and slides of Workshop IV: Deep Geometric Learning of Big Data and Applications, Part of the Long Program Geometry and Learning from Data in 3D and Beyond at IPAM. The workshop took place May 20 - 24, 2019. And thank you to the organizing committee (Xavier Bresson, Yann LeCun, Stanley Osher, Rene Vidal, Rebecca Willett) for making this workshop happen!

As Europe (together with Australia and Israel) are glued to their TV sets watching the 64th Eurovision song competition, we asked ourselves What makes a Eurovision song memorable? We are a group of artists, musicians and programmers that wanted explore human creativity and challenge it. We have created a Eurovision AI song that celebrates Eurovision – its melodrama, kitsch and camp, its humor and its gimmicks. The result is comprised entirely of material written and composed by Artificial Intelligence, titled "Blue Jeans & Bloody Tears". The project team fed hundreds of Eurovision songs – melodies and lyrics – into a neuron network.

The Union agriculture ministry is looking at algorithms to fix delays in paying farmers their claims under the Pradhan Mantri Fasal Bima Yojana (PMFBY), a major issue hobbling the flagship crop insurance scheme. The government is experimenting with big data analytics, artificial intelligence (AI) and machine learning to quicken assessment of crop damage, a lengthy and often disputed mechanism, people familiar with the matter said. If the PMFBY is to achieve its most critical goal -- timely payouts to farmers -- it can't fly without a raft of high-end technological fixes, experts say. Analysing the scheme's design in his recent work'Supporting Indian Farms the Smart Way', economist Ashok Gulati predicted that, for prompt crop insurance settlement, India could even need a fleet of cloud-penetrating satellites for faster crop-loss estimates. Setting up such a constellation would likely cost Rs 2,000 crore, according to Gulati's calculations.