The Computing Community Consortium (CCC) is very pleased to announce the release of the final report in the workshop series on enabling research collaborations between Artificial Intelligence (AI) and Operations Research (OR) experts. This workshop series, first proposed in 2020, recognized the significant progress made in Artificial Intelligence research in recent years, especially in areas such as machine learning. However, it also noted the advances in optimization and decision-making made within AI, areas where the deep expertise of Operations Research is invaluable. Recognizing the complementary strengths of these two fields and the potential for significant societal impact through their synergy, the workshop series aimed to bridge this gap.   “From […]

On March 18, 2025, the Joint California Policy Working Group on AI Frontier Models released a draft report that could help shape how the state navigates the rapidly evolving landscape of artificial intelligence (AI). Commissioned by Governor Gavin Newsom in September 2024, the report is the result of a collaboration between three prominent figures in academia and policy: Fei-Fei Li, Co-Director of the Stanford Institute for Human-Centered Artificial Intelligence; Mariano-Florentino Cuéllar, President of the Carnegie Endowment for International Peace; and Jennifer Tour Chayes, Dean of the UC Berkeley College of Computing, Data Science, and Society. How California decides to tackle oversight of AI — both in terms of fostering innovation […]

CCC supported three scientific sessions at this year’s AAAS Annual Conference, and in case you weren’t able to attend in person, we are recapping each session. This week, we are summarizing the highlights of the session, “How Big Trends in Computing are Shaping Science.” In Part 2, we hear from Gabriel Manso, a first year PhD student at Massachusetts Institute of Technology, who explains the computational limits of deep learning.   Gabriel Manso, a first-year PhD student at MIT and a member of the MIT FutureTech research group, discussed the computational limits of deep learning along with insights from his research. Deep learning is pervasive across most areas of science […]

CCC supported three scientific sessions at this year’s AAAS Annual Conference, and in case you weren’t able to attend in person, we are recapping each session. This week, we will summarize the highlights of the session, “How Big Trends in Computing are Shaping Science.” In Part 1, we will hear from Dr. Neil Thompson, from the Massachusetts Institute of Technology, who will explain the computing trends shaping the future of science, and why they will impact nearly all areas of scientific discovery.   CCC’s third AAAS panel of the 2024 annual meeting took place on Saturday, February 17th, on the last day of the conference. The panel, comprised Jayson Lynch […]

This is a final reminder to please submit your Challenge Problems which require collaboration between the Artificial Intelligence (AI) and Operations Research (OR) disciplines by this Friday, September 15th at 11:59 pm ET. You can submit your ideas using this form. Selected submitters will be invited to participate at the 3rd AI/OR workshop to help shape the discussion of potential collaboration between these communities and overcome hurdles preventing collaborations.   For more information, please read the full challenge problem solicitation on our blog.

While many of the achievements of AI scientists, especially in the field of language dialogue application, seemed impossible 20 years ago, it isn’t unrealistic to think that AI can perform in ways only seen in movies. AI systems have or will soon have the capacity to execute human tasks like writing, driving, and analyzing data. AI systems are constantly looking and acting more human, so are they becoming human? According to the vast majority of AI scientists, the answer is no. However, Google engineer Blake Lemoine has made headlines in recent days by insisting that LaMDA, short for Language Model for Dialogue Applications, is sentient. Lemoine goes as far as […]