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Reviews: Face Reconstruction from Voice using Generative Adversarial Networks

Neural Information Processing Systems

The paper proposes a very novel method that creates an estimate of a face from a voice and works as a supervised method . The reviewers initially were not so convinced and with some disagree. The rebuttal was satisfying so that also one reviewer changed its score from weak rejection to acceptance. Thus, after a discussion with the Senior Area chair, the paper is accepted . This meta-review was reviewed and revised by the Program Chairs, based on discussions with the Senior Area Chair.


Artificial intelligence can understand complicated meanings of words

#artificialintelligence

Researchers have found that artificial intelligence (AI) can understand the complex meanings of words the way humans do. The researchers discovered a simple underlying trick through which machines accomplish the feat, and represent the meanings of words in a manner that correlates with human judgement. The AI system investigated by the researchers has been used to study word meanings over the past decade, by'reading' vast amounts of content on the internet, covering billions of words. The system learns that words that appear frequently together, such as'table' and'chair' have similar meanings, while words that appear rarely together, such as'planet' and'chair' have very different meanings. The AI however, appeared to have one major limitation.


AI & Big Data Expo North America

#artificialintelligence

The world's leading AI & Big Data event series will return to the Santa Clara Convention Center in the heart of Silicon Valley on November 13-14th 2019 to host it's third annual North American event. The expo itself will bring together key industries from across the globe for two days of top-level content and discussion across 5-colocated events covering, AI, big data, IoT, cyber security, cloud, blockchain, and 5G. The AI & Big Data Expo will showcase the most cutting-edge technologies from more than 350 exhibitors and provide insight from over 500 speakers sharing their unparalleled industry knowledge and real-life experiences. Exploring the latest innovations within AI & Big Data, and covering the impact it has on many industries including manufacturing, transport, supply chain, logistics, automotive, construction, government, energy, utilities, insurance, healthcare and retail, this conference is not to be missed. Key topics examined include: Business Intelligence, Deep Learning, Machine Learning, AI Algorithms, Data & Analytics, Virtual Assistants & Chatbots, Enterprise AI & Digital Transformation, Data Analytics for AI & IoT, Big Data Strategies, AI and the Consumer, Developing AI Technologies and Big Data for Industry.


SE - AI livestock farming solution nominated for £1m science prize fund - Queen Mary University of London

#artificialintelligence

'Farm AI: Community Smart Farming from IoT to AI' aims to take the researchers' work in China – a project named LIVEQuest* which developed a wearable Internet-of-Things (IoT) platform that enables automated data collection on animal welfare and barn environment - further into the Association of Southeast Asian Nations. It will support the sustainable intensification of food production and animal health by community farm holders via the Belt and Road Initiative (BRI) along the old and new silk routes. It has been shortlisted for the Chair's Award which offers up to £500,000 for a project that demonstrates the best knowledge exchange, partnership development and research impact. Farm-AI brings together a mutually complementary and synergistic UK, China, Vietnam and Cambodia team to innovate a sustainable and low-cost IoT system coupled with embedded AI for community smart farming via field trials, workshops and academic exchanges. This project will position the UK as a world leader and pathfinder for the deployment of AI empowered cost effective and IoT systems to support smart farming in developing countries.


Member's Forum

AI Magazine

For several years now, many members of the AI research community have expressed dissatisfaction with the paper review process for the National Conference on AI (AAAI). Accepted papers are almost universally written very conservatively, and many of the most interesting recent results have appeared in only specialty conferences, not at AAAI. The innovative, controversial papers that used to characterize the conference are getting harder and harder to find in the proceedings. Several efforts have been made by program chairs in recent years to improve the situation. For AAAI-93, an extensive effort was made to encourage reviewers to accept "innovative" papers.


Member's Forum

AI Magazine

I would like to add my support to Lawrence Hunter's proposal to modify the review process for the National Conference on Artificial Intelligence (NCAI). For some time now, I, too, have been disappointed with the majority of papers presented at NCAI-not with the quality of the papers but with the conservative style. I would leave a paper session thinking that AI is progressing but at a painstakingly slow pace! Someone, somewhere must be doing some really innovative research, but why isn't he or she presenting this work at the premier AI conference? Allowing controversial papers but maintaining the quality criteria is a needed improvement for NCAI and AI in general.


/ ' Letters

AI Magazine

Editor The article "IJCAI Policy on Multiple Publication of Papers," by Alan Bundy in the Spring 1989 issue, misses one of the most important functions of IJCAI (or any other conference for that matter): The opportunity to present research to a wide audience of one's peers in person. No journal article can wholly replace the valuable give-and-take discussions that occur after a paper session. The proposed policy would deny this opportunity to researchers who have successfully published their results in a journal. Should AI researchers delay journal submissions until portions of their papers have been accepted by IJCAI or other major AI conferences? Given the vicissitudes of peer review in a methodologicallydivided field, the proposed policy seems like an excellent way to prevent dissemination of recent results Also, as much as the AI community might regard the IJCAI proceedings as an archival publication, the same thing can hardly be said of university tenure and promotion review committees, which in general prefer refereed journal articles over conference papers of whatever kind.


AI Magazine Staff

AI Magazine

Rita G. Minker, an early worker in the field of computer programming, died on October 11, 1988 of cancer at the age of 61 Mrs Minker received a B S degree with High Honors in Mathematics from Douglass College in 1948 and a M A. degree in Mathematics from the University of Wisconsin in 1950 In the summer of 1950 Mrs Minker started to work at the Bell Telephone Laboratories in Murray Hill, New Jersey She programmed network problems for one of the early digital computers, the Bell Relay Machine She was among the first computer programmers in the United States On June 24, 1951 she married Jack Minker, whom she had met at the University of Wisconsin The couple moved to Buffalo, New York where Mrs Minker was employed as a mathematician at the Cornell Aeronautical Laboratories. She worked on electronic analog computers on which she simulated the performance of missile systems. In 1952 she was hired by RCA in Camden, New Jersey and became the second computer programmer, and the first woman programmer to work at that company She programmed the Bizmac, RCA's first computer. In April 1964, Mrs. Minker returned to work as a mathematician and computer programmer in the newly formed Division of Computer Research and Technology (DCRT) at the National Institutes of Health (NIHj in Bethesda, Maryland She served as Head, Training Unit in DCRT from 1968-1975, and instituted training courses to permit medical researchers to learn how to program and work with computers and become familiar with statistical methods. In 1975, after having built up the Training Division, she joined the Statistical Software Section, Laboratory of Statistical and Mathematical Methodology of the DCRT She was able to participate and assist medical researchers with their programming and statistics problems she was also in charge of consulting on and maintaining SPSS, a major statistical package.


834

AI Magazine

This issue marks the end of volume 12 and my last issue as editor in chief. In 1981 when Lee Erman (then chairman of the Publications Committee) asked me to take over the editorship of a fledgling magazine, I assumed it would be a Z-or 3-year responsibility. I never expected to still be doing it 10 years later. I also never expected it to be such a pleasurable avocation. The pleasure comes from several directions: sitting in an honored position to observe developments in AI all over the world by being the recipient of dozens of papers every year; working with an excellent supporting staff of coeditors, assistants, and production people; and receiving compliments from colleagues for doing a good job.


The Third International Conference on Human-Robot Interaction

AI Magazine

The third international conference on Human-Robot Interaction (HRI-2008) was held in Amsterdam, The Netherlands, March 12-15, 2008. The theme of HRI-2008, "living with robots," highlights the importance of the technical and social issues underlying human-robot interaction with companion and assistive robots for long-term use in everyday life and work activities. More than 250 researchers, practitioners, and exhibitors attended the conference, and many more contributed to the conference as authors or reviewers. HRI-2009 will be held in San Diego, California, from March 11-13, 2009. The third international conference on Human-Robot Interaction (HRI-2008) was held March 12-15, 2008, in Amsterdam, The Netherlands.