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.

The ACM SIGAI Industry Award for Excellence in Artificial Intelligence (AI) will be given annually to individuals or teams who have transferred original academic research into AI applications in recent years in ways that demonstrate the power of AI techniques via a combination of the following features: originality of the research novelty and technical excellence of the approach; importance of AI techniques to the approach; and actual or predicted societal impact of the application. Awardees receive a plaque accompanied by a prize of $5,000, and will be recognized at the International Joint Conference on Artificial Intelligence through an agreement with the IJCAI Board of Trustees. After decades of progress in the theory, research and development of AI, AI applications are increasingly moving into the commercial sector. A great deal of pioneering application-level work is being done by those transferring research results into industry--from startups to large corporations--and this is influencing commerce and the broad public in a wide variety of ways. This award complements the numerous academic, best-paper and related awards, in that it focuses on innovators of fielded AI applications.

Eventbrite - Jayne Bullock, Department of Computer Science, University of Oxford (jayne.bullock@cs.ox.ac.uk) presents Strachey Lecture: Professor Neil Lawrence (University of Cambridge) - Tuesday, 3 May 2022 at Mathematical Institute, University of Oxford, Andrew Wiles Building, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG, Oxford, England. Find event and ticket information.

The ACM constitution provides that our Association hold a general election in the even-numbered years for the positions of President, Vice President, Secretary/Treasurer, and Members-at-Large. Biographical information and statements of the candidates appear on the following pages (candidates' names appear in random order). In addition to the election of ACM's officers--President, Vice President, Secretary/Treasurer--two Members-at-Large will be elected to serve on ACM Council. The 2022 candidates for ACM President, Yannis Ioannidis and Joseph A. Konstan, are working together to solicit and answer questions from the computing community! Please refer to the instructions posted at https://vote.escvote.com/acm. Please note the election email will be addressed from acmhelp@mg.electionservicescorp.com. Please return your ballot in the enclosed envelope, which must be signed by you on the outside in the space provided. The signed ballot envelope may be inserted into a separate envelope for mailing if you prefer this method. All ballots must be received by no later than 16:00 UTC on 23 May 2022. Validation by the Elections Committee will take place at 14:00 UTC on 25 May 2022. Yannis Ioannidis is Professor of Informatics & Telecom at the U. of Athens, Greece (since 1997). Prior to that, he was a professor of Computer Sciences at the U. of Wisconsin-Madison (1986-1997).

ICPRAM 2021 (10th International Conference on Pattern Recognition Applications and Methods) received 97 paper submissions from 30 countries. To evaluate each submission, a double‐blind paper review was performed by the Program Committee. After a stringent selection process, 21 papers were published and presented as full papers, i.e. completed work (12 pages/25' oral presentation), 53 papers were accepted as short papers (28 as oral presentation and 25 as poster presentation). ICPRAM's program included three invited talks delivered by internationally distinguished speakers, namely: The papers were organized in thirteen parallel sessions ranging from areas such as Machine Learning Methods; Deep Learning and Neural Networks; Classification and Clustering; Natural Language Processing; Theory and Methods; Methods and Applications; and Image and Video Analysis and Understanding. The organizing committee included the ICPRAM Conference Chair: Ana Fred, Instituto de Telecomunicações and University of Lisbon, Portugal; and the Program Co‐Chairs: Maria De Marsico, Sapienza Università di Roma, Italy; and Gabriella Sanniti di Baja, Italian National Research Council CNR, Italy.

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.

'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.

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.

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.