"Stanford University has invited leading thinkers from several institutions to begin a 100-year effort to study and anticipate how the effects of artificial intelligence will ripple through every aspect of how people work, live and play.
This effort, called the One Hundred Year Study on Artificial Intelligence, or AI100, is the brainchild of computer scientist and Stanford alumnus Eric Horvitz, who, among other credits, is a former president of the Association for the Advancement of Artificial Intelligence."
- Sean McBride
"SmartNews was designed by a group of PhD mathematicians and data scientists. Its machine learning algorithms evaluate tens of millions of articles and use social signals and other factors to determine which stories are worth reading at any given time in any given location. Unlike social news aggregators like Flipboard, SmartNews doesn’t require users to connect their Twitter TWTR +6.51% or Facebook accounts. As such, it skirts the problem of the so-called filter bubble, the “personalization” of news which can lead people narrow their content choices."
- Sean McBride
Recursion: this item was shared from SmartNews.
- Sean McBride
"The physics Nobel laureate Frank Wilczek has famously predicted that in 100 years, the best physicist will be a machine. Now the U.S. Defense Advanced Research Projects Agency is working toward that vision in a different arena: cancer research. Last summer, the agency launched a $45 million program called Big Mechanism, aimed at developing computer systems that will read research papers on cancer driven by mutations in the Ras gene family, integrate the information into a computer model of the cancer pathways, and frame new hypotheses for scientists to test—all by the end of 2017. The 12 participating teams met in Washington, D.C., last week to take stock of progress on the challenge. If it succeeds, the technology could aid researchers studying complicated systems from climate science to military operations and poverty."
- Sean McBride
"Newspapers are testimonials of history. The same is increasingly true of social media such as online forums, online communities, and blogs. By looking at the sequence of articles over time, one can discover the birth and the development of trends that marked society and history – a field known as “Culturomics”. But Culturomics has so far been limited to statistics on keywords. In this vision paper, we argue that the advent of large knowledge bases (such as YAGO [37], NELL [5], DBpedia [3], and Freebase) will revolutionize the field. If their knowledge is combined with the news articles, it can breathe life into what is otherwise just a sequence of words for a machine. This will allow discovering trends in history and culture, explaining them through explicit logical rules, and making predictions about the events of the future. We predict that this could open up a new field of research, “Semantic Culturomics”, in which no longer human text helps machines build up knowledge bases, but knowledge bases help humans understand their society."
- Sean McBride
"Semantic Culturomics is the large-scale analysis of text documents with the help of knowledge bases, with the goal of discovering, explaining, and predicting the trends and events in history and society."
- Sean McBride
"1. Persado maps the marketing language that applies to your brand, parsing words and phrases into emotional, descriptive and formatting values."
- Sean McBride
"2. Persado creates millions of variations of a marketing message, considering all combinations of emotions, features, and format options."
- Sean McBride
"3. Persado discovers the most persuasive emotions, and generates language that will drive the greatest response."
- Sean McBride