Feedback is entertained by the commotion at the International Association for Cryptologic Research's recent elections, where results could not be decrypted after an honest but unfortunate human mistake The phrase "you couldn't make it up", Feedback feels, is often misunderstood. It doesn't mean there are limits to the imagination, but rather that there are some developments you can't include in a fictional story because people would say "oh come on, that would never happen". The trouble is, those people are wrong, because real life is frequently ridiculous. In the world of codes and ciphers, one of the more important organisations is the International Association for Cryptologic Research, described as " a non-profit organization devoted to supporting the promotion of the science of cryptology ". The IACR recently held elections to choose new officers and directors and to tweak its bylaws.

Daniyel Chatterjee is a Young Researcher in the field of Data Science & Analytics having research experience of more than 8 years. He has a Masters in Computer Engineering and currently serves as an Editorial Assistant in IGI Global, United States of America. Daniyel also holds honorary positions in the Associate Member of Institute of Research Engineers and Doctors, International Association of Computer Science and Information Technology, International Association of Engineers, Society of Digital Information and Wireless Communications.

An increasing number of studies on artificial intelligence (AI) are published in the dental and oral sciences but aspects of these studies suffer from a range of limitations. Standards towards reporting, like the recently published CONSORT-AI extension, can help to improve studies in this emerging field. Watch authors Falk Schwendicke and Joachim Krois of the Charité - Universitätsmedizin Berlin, Germany, discuss the Journal of Dental Research (JDR) article "Better Reporting of Studies on Artificial Intelligence: CONSORT-AI and Beyond," moderated by JDR Editor-in-Chief Nicholas Jakubovics, Newcastle University, England. For AI studies in healthcare, only a limited number of randomized controlled trials are available, many studies are low quality and reporting is often insufficient to fully comprehend and possibly replicate these studies. Reporting standards such as the CONSORT (Consolidated Standards of Reporting Trials) statement, which provides evidence-based recommendations for reporting of randomized controlled trials, have been widely adopted by journals and have been shown to increase reporting quality.

An increasing number of studies on artificial intelligence (AI) are published in the dental and oral sciences but aspects of these studies suffer from a range of limitations. Standards towards reporting, like the recently published CONSORT-AI extension, can help to improve studies in this emerging field. Watch authors Falk Schwendicke and Joachim Krois of the Charité - Universitätsmedizin Berlin, Germany, discuss the Journal of Dental Research (JDR) article "Better Reporting of Studies on Artificial Intelligence: CONSORT-AI and Beyond," moderated by JDR Editor-in-Chief Nicholas Jakubovics, Newcastle University, England. For AI studies in healthcare, only a limited number of randomized controlled trials are available, many studies are low quality and reporting is often insufficient to fully comprehend and possibly replicate these studies. Reporting standards such as the CONSORT (Consolidated Standards of Reporting Trials) statement, which provides evidence-based recommendations for reporting of randomized controlled trials, have been widely adopted by journals and have been shown to increase reporting quality.

Artificial intelligence (AI) is going to change the way we do business and work as communication professionals. In fact, the revolution has already begun. For communication professionals, it promises to take care of all the mundane tactical activities we currently handle, freeing us to focus on demonstrating our value through the more strategic activities that machines cannot--like influencing the C-suite, connecting our organization's audiences and stakeholders and creating meaning in a world fraught with change. But we can't afford to wait any longer. When our organizations seek advice on how best to communicate about AI, we need to be ready to ask the right questions and advise on the right approach. We also need to know what technology is being used and how it will impact on our organizations' stakeholders.

Artificial intelligence (AI) is already a huge player in host of industries. In the past few decades, it has transformed from the subject of science fiction into a real phenomenon that affects our daily lives. AI's purpose is to make the lives of human beings easier, by performing tasks efficiently at speeds that would be extremely hard, if not impossible, for humans to emulate. Some types of AI are extremely user-oriented, while others are more geared toward for use within computer systems and programs, for applications involving assets like big data. On the user-friendly side of the spectrum, you will find devices like Amazon's Alexa or Apple's Siri, the digital assistants.

Results of a study evaluating the use of artificial intelligence for matching oncology patients with clinical trials showed a 58.4% increase in trial enrollment compared with traditional screening methods. The findings from this study were presented at the IASLC 2019 World Conference on Lung Cancer hosted by the International Association for the Study of Lung Cancer in Barcelona, Spain. IBM Watson Health's Clinical Trials Matching (CTM) is a system that is trained to abstract patient- and clinical trial-specific data from a variety of sources and harnesses machine learning to find clinical trials that are appropriate for a given patient. In this study, CTM was trained and used to match patients at an academic oncology outpatient clinic to 1 or more of the approximately 42 available clinical trials in lung cancer. The matches generated by CTM were subsequently validated by clinical trial coordinators, and the validated matches were provided to oncologists prior to the patients' clinic visits.

The International Association for Pattern Recognition (IAPR) is an international association of non-profit, scientific or professional organizations (being national, multi-national, or international in scope) concerned with pattern recognition, computer vision, and image processing in a broad sense. Normally, only one organization is admitted from any one country, and individuals interested in taking part in IAPR's activities may do so by joining their national organization.

The conference will feature a main track for technical papers, a demonstration track, workshops, tutorials, a doctoral consortium and best paper prizes. The 16th International Conference on Artificial Intelligence and Law (ICAIL 2017) will be held at King's College London from Monday, June 12 to Friday, June 16, 2017. The main Call for Papers can be found at: http://nms.kcl.ac.uk/icail2017/cfp.php The 2016 JURIX conference will take place on the beautiful French Riviera at the University of Nice Sophia Antipolis on 14, 15 and 16 December 2016. We invite submissions of papers (long and short), technology demonstrations and proposals for workshops & tutorials.