AI at Johns Hopkins combines the intuition and understanding of human intelligence with the raw power of empirical AI to transform discovery.

AI-X Foundry

The Johns Hopkins AI-X Foundry is a university-based organization with an ambitious global vision: the intentional collaboration of human and artificial intelligence (AI), with AI learning from humans and humans learning from AI, bringing their complementary strengths together towards the goal of understanding and improving the human condition.

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AIX
9:30 am / 6:00 pm
September 27
Johns Hopkins AI-X Foundry Fall 2023 Symposium Charting a New Course: Navigating AI in Research Traditions September 27, 2023 Symposium | 9:30 a.m. to 4 p.m. | Shriver Hall Poster Session | 4 p.m. Glass Pavilion (In-person and live stream will be available) Register now: https://ai-x-fall-2023-symposium.eventbrite.com Explore recent advances in AI and Data Science that are making a profound impact on human endeavors and are revolutionizing knowledge creation in disciplines ranging from science and medicine to social sciences and the arts. Who should attend?  Researchers, scientists, academics, students, industry professionals, and anyone interested in the cutting-edge applications of AI in research and knowledge creation. What you’ll gain:
  • Unique viewpoints and perspectives from three distinguished speakers
  • Insights into the immense potential AI offers in accelerating research and innovation
  • Understanding AI’s influence across disciplines
  • Knowledge of ethical considerations and challenges that arise with research practices
  • Opportunities to engage and network with experts from diverse domains to uncover novel perspectives and approaches
Speakers:
  • Sareeta Amrute
  • Fernando Pereira
  • Mitra Taheri
Schedule and more details coming soon! Register now: https://ai-x-fall-2023-symposium.eventbrite.com Submit a poster: https://ai.jhu.edu/ai-x-foundry-fall-2023-symposium-poster-submissions/
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Related Institutes
5:00 pm / 6:30 pm
October 4

The Natural Philosophy Forum at Johns Hopkins is pleased to host Scott Aaronson to give a special seminar, "Neurocryptography and AI Alignment"

Scott Aaronson, University of Texas – Austin October 4, 2023 5:00 pm - 6:30 pm 111 Mergenthaler Hall For more information, visit https://www.naturalphilosophyhopkins.org/event/special-seminar-scott-aaronson/ .
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Related Institutes
2:00 pm / 4:00 pm
October 9

Bridging the Gap: Exploring the Role of AI in the Climate and Health Intersection Panel Discussion October 9, 2023 2 - 4 p.m. EST, followed by high tea 555 Pennsylvania Avenue NW, Washington, DC 20001 Register now The curated panel discussion, facilitated collaboratively by Dasra’s ClimateRISE Alliance and the Gupta-Klinsky India Institute at Johns Hopkins University, will bring together a diverse set of stakeholders to explore the intricate connections between health, climate change, and the transformative potential of artificial intelligence in mitigating and adapting to the climate-induced challenges for human health. Speakers will discuss the susceptibility of developing countries like India to climate-related health vulnerabilities while exploring the pathways to building resilient healthcare systems. The session will underscore the significance of exploring AI-driven solutions at the intersection of climate and health; and explore pathways for collaborative action across stakeholders. Learn more at https://indiainstitute.jhu.edu/wp-content/uploads/2023/09/Climate-X-Health-X-AI_Briefing-Note.pdf

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Related Institutes
8:30 am / 5:00 pm
October 13
2023 IDIES Annual Symposium Friday, October 13th Homewood Campus Glass Pavilion (Levering Hall) 8:30am–5:00pm Register now at https://www.idies.jhu.edu/news-events/events/idies-annual-symposium/2023-annual-symposium/ Register today to attend the Institute for Data-Intensive Engineering and Science (IDIES) for a full day of big-data themed talks and project updates. The IDIES Annual Symposium aims to bring together experts in the theoretical foundations, development, and application of data-intensive technologies and analysis to share discoveries, practical ideas, and insights as they relate to big data research.  
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