The National Library of Medicine (NLM) has been providing the medical field with information since 1836. Starting off as a small collection of books, the entity has grown into the world’s largest biomedical library, housing biomedical research and computational health data research. NLM supports two research programs, the Division of Extramural Programs (EP) and Intramural Research Program (IRP), that seek to catalyze advancements in the intersection of medicine and computer science. Specifically, these programs focus on biomedical informatics, data science, computational biology, and computational health. Through these programs NLM is making major investments in finding new ways that Artificial Intelligence (AI) can be used in the medical field.  A couple […]

The Coordinated Science Laboratory (CSL) just released a white paper reflecting ideas that were presented and discussed at the Symposium on Artificial Intelligence and Social Responsibility sponsored by the CSL at the University of Illinois Urbana-Champaign, with co-sponsorship by the School of Information Sciences at the University. This symposium was the second of two symposia sponsored by CSL to celebrate its 70th anniversary.  Contemporary AI technologies are more powerful and pervasive than the original AI technologies created in university laboratories. While industry dominates AI today, universities can still play important roles. In this white paper, we recommend actions that universities should take to promote social responsibility in the development and […]

The Office of Science and Technology Policy (OSTP) recently released a “Blueprint for an AI Bill of Rights.” The goal of the AI Bill of Rights is to provide a set of policies and regulations to protect against potentially harmful consequences of artificial intelligence. The expectations set in the blueprint invite a plethora of research opportunities within the computer science community. Former CCC Council Member, Suresh Venkatasubramanian, was very involved in the initial groundwork of this initiative. You can read more about the blueprint in the article posted on the Computing Research Policy Blog below. Originally written by Brian Mosley and posted on the Computing Research Policy Blog The Biden […]

In 2021, the Coordinated Science Laboratory (CSL) celebrated their 70th anniversary with two big events: the Future of Computing Symposium (October 2021) and the AI and Social Responsibility Symposium (March 2022). The CSL is an Interdisciplinary Research Unit (IRU) in The Grainger College of Engineering at the University of Illinois Urbana-Champaign (UIUC) with a rich history of scientific and engineering advances. It brings together researchers from computing, communication, control, circuits, and beyond. CSL’s research covers the full computing stack, from circuits and high-performance applications to signal processing, machine learning, security and trust, and computing’s impact on society and the resulting need for social responsibility. The CSL recently released a white […]

Pending funding, the National Institute of Health (NIH) plans to launch the Bridge to Artificial Intelligence (Bridge2AI) program. Collaboratively managed by the NIH Common Fund, the National Center for Complementary and Integrative Health, the National Eye Institute, the National Human Genome Research Institute, the National Institute of Biomedical Imaging and Bioengineering, and the National Library of Medicine, the program seeks to provide comprehensive, high-quality and ethically sourced datasets to catalyze the widespread use of AI in the biomedical and behavioral research communities. AI has the ability to transform the biomedical and behavioral science fields. Possible applications include informing clinical decision making, monitoring and predicting health needs in real time and […]

Edge artificial intelligence (AI) is the deployment of AI devices at the edge of networks, in other words these devices are collecting and computing data close to the user. An example of this is a self-driving car. Data pertaining to the proximity of other cars, traffic and obstacles are being collected and computed by the car rather than in a cloud computing facility or private data center. These technological capabilities enable organizations to increase automation and improve processes, efficiency and safety. Currently these edge devices are limited by their battery power. A massive amount of the technology’s energy goes towards moving the data between the compute unit (where the data […]