A British agritech start-up has won a prestigious Horizontal Innovation Award from the IET and the High Value Manufacturing Catapult (HVMC) to help develop'Harry', the company's drilling and planting robot. Small Robot Company, based in Shropshire, harnesses the power and precision of robots and Artificial Intelligence (AI) to improve the way that food is produced. The £50,000 funded research award will look to develop'Harry' from concept through to in-field prototype. Addressing key challenges around the use of robotics in agriculture, the development of'Harry's' punch planting mechanism will be supported by the Manufacturing Technology Centre, one of seven centres of excellence which make up the High Value Manufacturing Catapult (HVM Catapult), which is sponsored by Innovate UK. The technology is built on 15 years of robotics research by Professor Simon Blackmore, the world's leading expert on precision farming at Harper Adams University.

PLOS Medicine, PLOS Computational Biology and PLOS ONE announce a cross-journal Call for Papers for high-quality research that applies or develops machine learning methods for improvement of human health. The team of Guest Editors for this Collection seeks research with direct clinical and health policy implications, studies that elucidate biological processes underlying health and disease, innovations in machine learning methodology and data provision, and other advances in the field. Research accepted for publication in PLOS Medicine will appear in a Special Issue to be published in late Fall 2018, along with commentary from leading experts in the field. The broader Collection, comprising all articles published in PLOS Computational Biology, PLOS ONE and PLOS Medicine, will launch in late Fall and continue into 2019. Articles must be submitted by May 25, 2018.

PLOS Medicine, PLOS Computational Biology and PLOS ONE are excited to announce a cross-journal Call for Papers for high-quality research that applies or develops machine learning methods for improvement of human health. The team of Guest Editors for this Collection seeks research with direct clinical and health policy implications, studies that elucidate biological processes underlying health and disease, innovations in machine learning methodology and data provision, and other advances in the field. Research accepted for publication in PLOS Medicine will appear in a Special Issue to be published in late Fall 2018, along with commentary from leading experts in the field. The broader Collection, comprising all articles published in PLOS Computational Biology, PLOS ONE and PLOS Medicine, will launch in late Fall and continue into 2019. Articles must be submitted by May 25, 2018.

The 11th edition of Capgemini's flagship publication, the Digital Transformation Review, focuses on Artificial Intelligence (AI). This edition – Digital Transformation Review: Artificial Intelligence Decoded – presents a nuanced perspective on AI to help cut through the hype and fog. We spoke to leaders and experts from a broad spectrum: large corporates, tech startups, academics, venture capitalists, and technology vendors. Often an entry point for organizations looking to explore the benefits of artificial intelligence, we also cover our research on voice assistants. "AI will be the most debated, invested in, and disruptive business technology trend over the coming years.

Neural networks (NNs) and deep learning (DL) currently provide the best solutions to many problems in image recognition, speech recognition, natural language processing, control and precision health. NN and DL make the artificial intelligence (AI) much closer to human thinking modes. However, there are many open problems related to DL in NN, e.g.: convergence, learning efficiency, optimality, multi-dimensional learning, on-line adaptation. This requires to create new algorithms and analysis methods. Practical applications both require and stimulate this development.

The 11th edition of the Digital Transformation Review will be launched soon and it focuses on Artificial Intelligence (AI). AI has received significant bad press so why should we pay attention?.

There's no question artificial intelligence and machine learning technologies are enabling important discoveries in healthcare, but there can be a bit of a disconnect among the various stakeholders using them. A panel discussion at the upcoming CNS Summit in Boca Raton, Fla. presents a rare opportunity to bring the parties together and foster collaboration.

In this book, we explore the task of automatically predicting human decision-making and its use in designing intelligent human-aware automated computer systems of varying naturesfrom purely conflicting interaction settings (e.g., security and games) to fully cooperative interaction settings (e.g., autonomous driving and personal robotic assistants). ISBN 9781681732749, 150 pages.

If you are interested in learning R and Data Science, but not interested in spending money on books, you are definitely in good space. There are a number of fantastic books and resources available online for free from top most creators and scientists. Here are such 13 best free (so far) online books and resources for learning R and Data Science from people like Hadley Wickham, Winston Chang, Garrett Grolemund and JHU Professor Roger Peng. R for Data Science, by Hadley Wickham and Garrett Grolemund, is a great book that introduces R programming, RStudio- the free and open-source integrated development environment for R, and the tidyverse, a suite of R packages designed by Wickham "to work together to make data science fast, fluent, and fun". Hadley Wickham wrote the book online and is available for free online at http://r4ds.had.co.nz/.

For the Perfect Strangedroids discussion panel on Wednesday, Engadget hosted a trio of robotics experts.. Sabri Sansoy, CEO and Chief Roboticist of Orchanic; Nader Hamda, Founder and CEO of Ozobot; and Stu Lipoff, IEEE Life Fellow and President of IP Action Partners all took the Engadget stage at CES 2018 with senior editor Andrew Tarantola moderating.