The promise of the Human Genome Project continues to be realized with successes such as targeted therapeutics or genomic based medicine yet challenges still remain. The causes of genetic disorders continue to be discovered but for many cures remain elusive. This in part due to the complexity that underlies genome function from epigenetics to functions being uncovered in the noncoding regions of the genome. Examples of genetic variation will be discussed and the role of variation in human health.
In recent years, deep neural networks have improved the benchmarks of learning in areas such as vision and speech recognition. This improvement comes with a big price tag. Deep neural networks are very large supervised models and need huge quantities of labelled data at the time of training. In medical image analysis, labeling data is expensive. In certain imaging modalities, such as MRI and CT, 3D analysis and segmentation are required which increases the size of networks and limit our ability to use transfer learning from 2D models of the mainstream computer vision community.
Big-data Trained algorithms are increasingly used to make big decisions about people’s lives, such as who gets loans, whose resumes are reviewed by humans for possible employment, and even the length of prison terms. Algorithmically moderated platforms are making profound impacts on our personal and public relationships such as how we find a job, how we get our news, even how we find a spouse.
Internet2's Senior Vice President and Chief Innovation Officer Florence Hudson will present key information and communications technology trends for research and education enabling an endless frontier of innovation. Topics covered will include the Internet of Things, healthcare and life sciences, precision medicine, the cancer moonshot, and smart campuses and cities. This will enable a discussion on how we can all become an integral part of developing and implementing new solutions that enrich our lives and engagements through technology and business model innovations.
The Center for a Digital Society emphasizes the use of science and technology to support research and society. The Center has hosted the primary office for Research Data Alliance / United States (U.S. participants of the international Research Data Alliance) and focuses on research in the area of Public Interest Technology.
Big Brother, Internet Style: New Sources of Online Influence Are Invisibly Impacting the Decisions That Billions of People Are Making Every Day
Research conducted since 2013 has revealed multiple unprecedented and powerful means of influence that internet search engines make possible - so powerful, in fact, that the search engine can reasonably be called the most powerful mind control device ever invented. These new means of influence include the Search Engine Manipulation Effect (SEME) (http://bit.ly/1REqzEY and http://bit.ly/2xY4nB5), the Search Suggestion Effect (SSE), and the Answer Bot Effect (ABE).
In recent years, consumer interest in voice-driven AI assistants such as Alexa, Google Home, and Siri has exploded. Today, such services are available on a billion devices. Due to this trend, consumers have grown accustomed to interacting with AI assistants somewhat as they do with fellow humans.
The Web has been one of the most impactful technologies ever, and over the past twenty years or so, has helped advance society in ways no one thought possible. Ubiquitous connectivity has enabled instant communication with anyone in the world. Social media has helped us strengthen existing relationships, and form new ones. The vast amount of content on the Web has broadened our outlook, and let us learn about things we never even knew existed.