In this talk, new perspectives on the quasinormal mode character will be discussed, including its connection with the local density of states for the single-particle quantum mechanical problem associated with the Klein-Gordon equation, and its direct relationships with (thermal) correlators of the f...
Van Andel Institute’s Dr. Michael Henderson discusses an in-depth primer on Parkinson’s disease and proteins, and how this knowledge may inform improved strategies for slowing or stopping disease progression.
The initial conception and experimentation with AI has given rapid rise to actual tools and use cases for specific communities. Real, actionable strategies are now available to the academic and research communities. In less than an hour, guest speaker Dr. Kevin Lo will share options, guidance, and tips for utilizing AI as your research partner. Joi...
Randall Stafford, MD, PhD, talks about ways to manage symptoms of viral respiratory infections, including chronic cough, and when you should contact your doctor.
Steven Pinker, the Johnstone Family Professor in the Department of Psychology at Harvard University discusses issues of emerging and preeminent relevance to society.
Brian D. O. Anderson, Emeritus Professor, College of Engineering and Computer Science from The Australian National University leads a lecture on Applications Delivered by Control Theory.
Jeff Bronstein, MD, PhD, Director of the Levine Movement Disorder Center at UCLA, provides a presentation on the latest updates on causes and treatments for Parkinson's Disease.
Dr. Eva Harris, Professor and Chair of the Division of Infectious Diseases and Vaccinology, Director of the Center for Global Public Health, and Chair of the Infectious Diseases and Immunity PhD Program in the School of Public Health at the University of California, Berkeley discuss the Zika virus i...
This Harvard webinar explores the questions: How could machines learn as efficiently as humans and animals? How could machines learn how the world works and acquire common sense? How could machines learn to reason and plan?
UC Santa Barbara speaker, Clifford V. Johnson, dicusses how quantam physics' ideas address the question of whether their results could one day lead us to say we’re living in The Matrix.
PhD student, Lianmin Zheng leads this talk introducing several systems he has designed and built to support the entire model lifecycle, from training to deployment to evaluation.
In this Presidential Lecture from the Simons Foundation, Miles Cranmer will outline an innovative approach that leverages neural networks in the scientific process.
Your professional academic documents—such as your CV, manuscript cover letter, and response-to-reviewers file—strongly influence career success. A poorly written cover or response letter often leads to manuscript rejection, and an inadequate CV can cost you the offer for your academic dream job.
To avoid these unfortunate outcomes, join this mon...
Dr. William Stafford Noble, Professor of Genome Sciences at the University of Washington presents various projects that apply deep neural networks to the analysis of large compendia of biological data.
In this webinar, Sarah Ibrahim, RN, MN, PhD, CHSE, from the Toronto General Hospital Research Institute discusses a mixed methods project that investigates brain health awareness, lifestyle medicine-related knowledge & behaviours among young adults with a stroke or high-risk transient ischemic attac...
This webinar session features programs that highlight the importance of aligning sepsis management with organizational strategies, keeping patient care at the center, and providing actionable, timely data to improve patient outcomes.
This webinar introduced how AI tools are currently applied in scientific publishing, highlighted the key questions shadowing their use, and explored what this means for EGU journals and beyond.