Computing Community Consortium Blog

The goal of the Computing Community Consortium (CCC) is to catalyze the computing research community to debate longer range, more audacious research challenges; to build consensus around research visions; to evolve the most promising visions toward clearly defined initiatives; and to work with the funding organizations to move challenges and visions toward funding initiatives. The purpose of this blog is to provide a more immediate, online mechanism for dissemination of visioning concepts and community discussion/debate about them.


Posts Tagged ‘AI

 

CCC Council Member David Danks Appointed to Department of Commerce’s new National AI Advisory Committee (NAIAC)

April 14th, 2022 / in AI, Announcements / by Maddy Hunter

Today the Department of Commerce announced the appointment of 27 experts to the new National AI Advisory Committee (NAIAC), among them was CCC Council Member David Danks and a couple other experts that have collaborated with the Computing Research Association in the past. David Danks, CCC Council Member Ayanna Howard, CRA Board, CRA-WP and CCC Engagement Ramayya Krishnan, Co-Lead of CCC AI/OR Workshop Series Ashley Llorens, Co-lead of CCC Assured Autonomy Series Created in response to the National AI Initiative Act of 2020, the committee will provide recommendations to the President and the National AI Initiative Office on various topics pertaining to AI such as international competitiveness, scientific developments, research […]

2022 Franz Edelman Award for Achievement in Advanced Analytics, Operations Research and Management Science Winner Announced

April 12th, 2022 / in AI, CCC / by Maddy Hunter

On April 4th, Gobierno de Chile received the 2022 Franz Edelman Award for Achievement in Advanced Analytics, Operations Research and Management Science for improving response strategies to the COVID-19 pandemic using operations research (OR). The purpose of the Franz Edelman Competition is to recognize and reward outstanding examples of operations research, management science, and advanced analytics in practice in the world. The project, organized by the Chilean Ministries of Health and Sciences, the Instituto Sistemas Complejos de Ingeniería (ISCI) and telecom company Entel, teamed up to highlight the beneficial impact that operations research and analytics could play in combating effects of the pandemic. They developed innovative methodologies and tools that […]

OSTP’s Continuing Work on AI Technology and Uses that Can Benefit Us All

February 15th, 2022 / in AI, policy, research horizons / by Maddy Hunter

This blog was originally posted by Lynne Parker, Director, National AI Initiative Office, and Rashida Richardson, Senior Policy Advisor for Data and Democracy on the Office of Science and Technology Policy (OSTP) blog. Artificial Intelligence (AI) is becoming more prevalent in all of our lives. It powers all kinds of tools, from the digital assistants that answer questions on your phone, to breakthroughs in reading X-rays to better spot cancers. The so-called “intelligence” is the result of powerful computers sorting through mountains of data to find patterns, using algorithms designed and optimized by computer scientists. Like all technology, AI is far from perfect. As we have started using AI for […]

DARPA Releases GARD Program to Help Strengthen AI Against Attacks

January 19th, 2022 / in AI, Security / by Maddy Hunter

The Defense Advanced Research Projects Agency (DARPA) released a new program Guaranteeing AI Robustness against Deception (GARD) to aid Artificial Intelligence (AI) developers in testing their models’ defenses against attacks. A team of large technology players from academia and industry, including IBM, MITRE, University of Chicago and Google Research collaborated to make a set of open source testing tools. The tools, ranging from a virtual evaluation testbed, a benchmark dataset, and “test dummies” help identify vulnerabilities in AI systems and make systems more robust against an increasingly complex range of attacks. The growing field of Machine Learning (ML) enables a large range of opportunities for societal and technological growth, but […]

Listen to the Catalyzing Computing Podcast, Episode 39 – Medical Applications for AI and Robotics with Gregory D. Hager (Part 2)

January 7th, 2022 / in AI, Healthcare, podcast, robotics / by Khari Douglas

A new episode of the Computing Community Consortium‘s (CCC) official podcast, Catalyzing Computing, is now available. Khari Douglas interviews Gregory D. Hager, a professor of computer science at Johns Hopkins University and the founding director of the Johns Hopkins Malone Center for Engineering in Healthcare. In this episode, Hager discusses medical applications for AI and robotics, tactile perception, the founding of the Malone Center, and data privacy. This will be the​ last episode of Catalyzing Computing hosted and produced by Khari, because he will be joining the editorial team at Overheard at National Geographic, “a podcast which follows explorers, photographers, and scientists to the edges of our big, weird, beautiful world.” Thanks for listening […]

Moderna Partners with Carnegie Mellon University to Launch an AI Academy

January 6th, 2022 / in AI, COVID, research horizons, Research News / by Maddy Hunter

Announced on December 9th, 2021, Moderna Inc., a biotechnology company and a key player in mRNA vaccines, is partnering with Carnegie Mellon University (CMU) to launch an Artificial Intelligence Academy. The academy aims to teach Moderna employees to identify and integrate AI and machine learning solutions into the company ecosystem and into the vaccine distribution pipeline.  CMU Professors across the university, including those from CMU’s Department of Statistics & Data Science and the Tepper School of Business, are collaborating to design and implement Moderna’s AI Academy. The academy will be made up of an immersive curriculum tailored to working professionals and focusing on a broad range of topics including data […]