SINGAPORE Nyha Shree and Joe Tusin are each drawing up plans to expand their businesses in an office opened by U.S. digital payment platform PayPal in Singapore's Marina Bay area. Joe Tusin and Nyha Shree have set up shop in PayPal's Innovation Lab. Joe Tusin and Nyha Shree have set up shop in PayPal's Innovation Lab. This is just one of dozens of innovation labs in Singapore run by foreign companies, including Procter & Gamble, Unilever and Hewlett Packard Enterprise.
COVER A conceptual illustration of an artificial neuron evokes a technology that is transforming many fields of science: artificial intelligence (AI). One common form of AI is a neural network, which "learns" as connections between simulated neurons change in response to inputs. Such systems can find meaningful patterns in vast data sets, ranging from genomics to astronomy, and are even beginning to design experiments.
The Friday Cover p The Friday Cover is POLITICO Magazine's email of the week's best, delivered to your inbox every Friday morning. On Monday, Aug. 21, a solar eclipse will be visible across America. California produced so much solar power on those days that it paid Arizona to take excess electricity its residents weren't using to avoid overloading its own power … How HBO's insanely popular hit show turned a young British actress into a feminist, a fantasy icon and a royal fan favorite p On a recent Monday … Many people leave airport security feeling dehumanised, frightened, even violated. Edward Schwarzschild decided to find out p It was my first shift of on-the-job training as a transportation security officer at Albany International Airport's only checkpoint, and I was told to … Every Wednesday afternoon, in a windowless conference room in an office building at the tip of lower Manhattan, David Pecker decides what will be on the cover of the following week's i National Enquirer /i .
GingerMay PR attended this year's event at the Cavalieri Hotel in Rome to gain deeper insight into the topics currently impacting the industry. Measurement and verification of digital advertising was a key theme throughout the festival, with panel sessions indicating that advertisers are finally waking up to the need to implement the same safeguards in digital they have long expected in offline media. Many of the award winning entries at this year's festival used consumer insight to close the gap between what audiences want and what the brand needs, including campaigns from Airbnb and McDonalds. Jan Gooding, Global Inclusion Director of Aviva, joined a panel discussion on making diversity work for brands and creating inclusive communications that represent society.
In the years since the first edition of this book, data mining has grown to become an indispensable tool of modern business. The book retains the focus of earlier editions showing marketing analysts, business managers, and data mining specialists how to harness data mining methods and techniques to solve important business problems. After establishing the business context with an overview of data mining applications, and introducing aspects of data mining methodology common to all data mining projects, the book covers each important data mining technique in detail. The companion website provides data that can be used to test out the various data mining techniques in the book.
Back issues are available on-line at www.aimagazine.org The purpose of AI Magazine is to disseminate timely and informative articles that represent the current state of the art in AI and to keep its readers posted on AAAI-related matters. Regular features in AI Magazine include feature articles, workshop, symposium, and conference summaries, book reviews, editorials, news about the Association for the Advancement of Artificial Intelligence, letters to the editor, forum discussions, calendar of events, recruitment and product advertising, and columns on various topics including AI in the news. AI Magazine publishes original articles that are reasonably self-contained and aimed at a broad spectrum of the AI community. The magazine welcomes the contribution of articles on the theory and practice of AI as well as general survey articles, tutorial articles on timely topics, conference or symposia or workshop reports, and reviews of books.
The desire to predict discoveries--to have some idea, in advance, of what will be discovered, by whom, when, and where--pervades nearly all aspects of modern science, from individual scientists to publishers, from funding agencies to hiring committees. In this Essay, we survey the emerging and interdisciplinary field of the "science of science" and what it teaches us about the predictability of scientific discovery. We then discuss future opportunities for improving predictions derived from the science of science and its potential impact, positive and negative, on the scientific community.
A major challenge for using data to make predictions is distinguishing what is meaningful from noise. As this special section explores, prediction is now a developing science. Social scientists and the machine learning community are acquiring new analytical tools to distinguish meaningful patterns from noise. Several authors in this special section describe the importance of realistic goals that seek to balance machine learning approaches with the human element.
Dr. Yoshua Bengio, Professor, Department of Computer Science & Operations Research, Université de Montréal Dr. Fei-Fei Li, Associate Professor, Computer Science Department, Stanford University Dr. John Smith, Senior Manager of Intelligent Information Systems, IBM Research Session Chair: Dr. Michael Karasick, VP Innovations, IBM Watson For more, read the white paper, "Computing, cognition, and the future of knowing" https://ibm.biz/BdHErb How we teach computers to understand pictures Fei Fei Li - Duration: 18:03. IBM Research 11,273 views Foundations and Challenges of Deep Learning (Yoshua Bengio) - Duration: 1:12:00. Stanford University School of Engineering 1,004 views Stanford Engineering's Fei-Fei Li explores visual intelligence in computers - Duration: 20:07. Microsoft Research 5,691 views Rajat Arya, Brian Kent: Getting Started with Machine Learning Applications - Duration: 1:27:40.