Each robot is 1.3 meters, or about 4-feet, 3-inches, tall. They are fully actuated, which means that they have similar joints and movement capabilities to that of a human, including arms, legs and hands with fully functional fingers and an opposable thumb. "This is an historic event," said Dr. Youngmoo Kim, an associate professor and assistant dean of media technologies in the College of Engineering and the director of the Music and Entertainment Technology (MET) Lab. "Never before have seven adult-sized, fully actuated humanoids appeared on stage together, so it's truly a milestone in robotics research." This gathering of robots is the fruition of seeds planted in 2008 when Drexel received a five-year grant from the National Science Foundation's Partnership for International Research and Education (PIRE) Program with the goal of training engineers to work in global multi-disciplined design teams.

Dr Dyer is one of Australia's leading bee experts and his latest research shows that honeybees can learn to recognise human faces even when seen from different viewpoints. Dr Dyer said the research could be applied in the areas of new technology, particularly the development of imaging systems. "What we have shown is that the bee brain, which contains less than 1 million neurons, is actually very good at learning to master complex tasks. Computer and imaging technology programmers who are working on solving complex visual recognition tasks using minimal hardware resources will find this research useful," Dr Dyer said. "Most current artificial intelligence (AI) recognition systems perform poorly at reliably recognising faces from different viewpoints. However the bees have shown they can recognise novel views of rotated faces using a mechanism of interpolating or image averaging previously learnt views."

"As my father lost the ability to do things for himself, my mother would give him gentle prompts to keep him on track," recalled Kautz, associate professor in the University of Washington's Department of Computer Science & Engineering. "So at a stage of the disease where, according to the clinical scales, it would seem he couldn't do anything for himself, he could still perform many of the functions of life. He could shower, get dressed, and so forth because my mother would monitor him and give a prompt when needed." It's a recollection that has guided Kautz in initiating a research effort at the UW to explore ways in which computer science can compensate for diminished mental capacity. The Assisted Cognition Project is a collaborative effort by the UW, Intel Computers and Elite Care, a private company developing a state-of-the-art retirement community in the Portland area that utilizes so-called ubiquitous computing to keep tabs on residents' needs.

The Leibniz Center for Law has its roots in the former department of Computer Science & Law of the Law Faculty of the University of Amsterdam, and currently houses about 15 researchers. The Leibniz Center conducts research and provides education in the field of Artificial Intelligence and law. In the tradition of Leibniz, we focus on the development and application of techniques from Artificial Intelligence to the field of Law for the purpose of supporting legal practice, and bringing new insights to legal theory. The Leibniz Center for Law has longstanding experience on legal ontologies, automatic legal reasoning and legal knowledge-based systems, (standard) languages for representing legal knowledge and information, user-friendly disclosure of legal data, and the application of ICT in education and legal practice (e.g. It plays an important role in the development of eGovernment on both national and international level. The center provides advice on change-management issues of knowledge-intensive legal processes and the improvement of knowledge-productivity in legal organisations.

"Researchers photograph dolphins in their natural surroundings and compare new dorsal fin photographs against a catalogue of previously identified dolphins," explains Kelly Debure, professor of computer science at Eckerd College in St. Petersburg, Florida. "These catalogs are often organized into categories based on either distinct fin shape or location of predominant damage. The manual photo-identification process, although effective, is extremely time consuming and visually stressful, particularly with large collections of known dolphins." It was time to bring dolphin identification into the digital age. Debure, along with Eckerd students, developed DARWIN, or Digital Analysis and Recognition of Whale Images on a Network, a computer program that simplifies photo-identification of bottlenose dolphins by applying computer vision and signal processing techniques to automate much of the tedious manual photo-id process.

Machine learning is leading to innovation in algorithmic trading, among other areas. Xi Chen, who got his Ph.D. in machine learning from Carnegie Mellon University's School of Computer Science, is an assistant professor of information, operations and management sciences at New York University's Stern School of Business. He was recently named to the Forbes 30 Under 30 list. Chen featured in the science rankings, but he's working on machine learning products that will disrupt the financial services industry. First of all, modern machine learning techniques will lead to more accurate predictions of the future prizes and trends in financial services.

Throughout its history, humanity strives to improve themselves and all that surrounds us. For the most part, comfort, simplification of routine tasks, to increase the speed of complex and labor-intensive processes by replacing human work with machine one. Indeed, with the universal proliferation of mass computerization and the Internet of things, our life becomes much easier. And probably saturated – both in terms of events and technological development. Remember what was 10-15 years ago.

This book is not an introductory text. Anyone interested in a particular topic should consult the preface of the text to find out what it is about. The negative reviewers were not fair to the authors on that score. Had they read the preface they would have found out (1) how the authors define data mining, (2) that they see it as a subject with an important mix of statistical methodology and computer science and (3) that it is intended as an advanced undergraduate or first year graduate text on the topic. They also provide a very well organized structure for the text that is well described in the preface.

With the release of CTP3 SQL Server 2016 and its native In-database support for the open source R language (SQL Server R Services), users can now call both R and RevoScaleR functions and scripts directly from within a SQL query and benefit from multi-threaded and multi-core in-DB computations. The R integration brings the utility of data science to your applications without the need to'export' the data to your R environment. Today, I will use the Adventure Works samples for SQL Server 2016 CTP3 to showcase how we can use SSIS to operationalize a R prediction from doing data preparation, to using the training data to build and save the "trained" model and running prediction using the trained model. In this specific example, we will use the IRIS flower dataset from Ronald Fisher that is built-in dataset from R as our data source and we will load this dataset into a SQL Server table called IRIS_RX_DATA. This will be our training data.

JERUSALEM/BEIJING, Jan. 24 (Xinhua) -- What will happen if Artificial Intelligence (AI) knows us better than we do about ourselves? Yuval Noah Harari, author of the international bestseller Sapiens: A Brief History of Humankind, shared his insight on how trends in science and technology may progress and influence human kind in a written interview with Xinhua. Harari is recently making quite a splash in China with the launch of the Chinese version of his equally compelling new book Homo Deus: A Brief History of Tomorrow, in which he turns his focus on humanity's future and the quest to upgrade humans, as science, especially AI, advance rapidly nowadays. According to Harari, people have already taken the first steps on the path of integration of humans and smart machines. People are already merging with their smartphones, and in the case of China, their Wechat accounts -- the intelligent devices and apps that constantly study us, adapt to our unique personality, and shape our worldview and innermost desires.