General Public

Dissertation Defense: Tong Liu, Yale University, "Inclusive Hadron Yield Analysis in Small and Mid-sized Collision Systems at sqrt(s_NN)=200 GeV at STAR"

At extremely high temperature and energy density, the quarks and gluons form a novel state of matter called the Quark-Gluon Plasma (QGP). The QGP has been widely studied via relativistic heavy ion collisions in large collision systems like Au+Au and Pb+Pb. However, whether the QGP exists in small systems like p+Au, and the dependence of QGP production on the collision system size are still open questions. One way to study the QGP properties is by using proxies of high energy partons, which are created in the initial stages of the collisions, and fragment into hadrons in the final state.

HPC Workshop: Shared Memory Programming Using OpenMP

This workshop is intended to give C and Fortran programmers a hands-on introduction to OpenMP programming. Attendees will leave with a working knowledge of how to write scalable codes using OpenMP. This event will be presented using the Wide Area Classroom(WAC) training platform. This will be an IN PERSON event hosted by various satellite sites, there WILL NOT be a direct to desktop option for this event.

Details and registration: https://www.psc.edu/resources/training/openmp-workshop-august-2023/

WL Summer Program & International Festival of Arts & Ideas “Beneath the Green, The Quantum”

BENEATH THE GREEN, THE QUANTUM
IN PARTNERSHIP WITH YALE QUANTUM INSTITUTE

Inference Project Virtual Talk: Inference in a Nonconceptual World

Classical models of inference, such as those based on logic, take inference to be *conceptual* – i.e., to involve representations formed of terms, predicates, relation symbols, and the like. Conceptual representation of this sort is assumed to reflect the structure of the world: objects of various types, exemplifying properties, standing in relations, grouped together in sets, etc. These paired roughly algebraic assumptions (one epistemic, the other ontological) form the basis of classical logic and traditional AI (GOFAI).

Inference Project Virtual Talk and Conversation, Inference: A Logical-Philosophical Perspective

In this talk, Professor Paseau will describe some of his work on inference within mathematics and more generally. Inferences can be usefully divided into deductive or non-deductive. Formal logic studies deductive inference, the obvious question here being: which formal logic correctly captures it? His view, defended in his recent monograph One True Logic (Oxford UP, co-authored with Owen Griffiths), is that any such logic must be highly infinite. In this Inference Project event, he shall explain what this means and sketch some arguments for it.

Film Screening of Unconformity and Moderated Conversation with Writer and Director Jonathan DiMaio '09

An ambitious, rock-climbing geology student defies her imperious advisor to travel to the Nevada high desert, where a career-defining discovery and an unexpected friendship with a young cattle rancher force her to make life-altering decisions. Unconformity is the story of a friendship tested in the American West, framed by geology, rock climbing, land rights, exploitation in academia, and the climate crisis.
Join us for a post-film moderated conversation with writer and director Jonathan DiMaio ‘09.

Life’s Edge: The Search for What it Means to be Alive

In Life’s Edge, Carl Zimmer explores the nature of life and investigates why scientists have struggled to draw its boundaries. He handles pythons, goes spelunking to visit hibernating bats, and even tries his hand at evolution. Zimmer visits scientists making miniature human brains to ask when life begins, and follows a voyage that delivered microscopic animals to the moon, where they now exist in a state between life and death. From the coronavirus to consciousness, Zimmer demonstrates that biology, for all its advances, has yet to achieve its greatest triumph: a full theory of life.

Causality at the Intersection of Simulation, Inference, Science, and Learning: Post-talk Conversation

The sciences are replete with high-fidelity simulators: computational manifestations of causal, mechanistic models. Ironically, while these simulators provide our highest-fidelity physical models, they are not well suited for inferring properties of the model from data. Professor Kyle Cranmer of New York University will describe the emerging area of simulation-based inference and describe how machine learning is being brought to bear on these challenging problems.

Causality at the Intersection of Simulation, Inference, Science, and Learning

The sciences are replete with high-fidelity simulators: computational manifestations of causal, mechanistic models. Ironically, while these simulators provide our highest-fidelity physical models, they are not well suited for inferring properties of the model from data. Professor Kyle Cranmer of New York University will describe the emerging area of simulation-based inference and describe how machine learning is being brought to bear on these challenging problems.

The Neuroscience of Human Decisions: Mapping as Knowing Lecture Series Virtual Talk

Mariano Sigman is one of the most outstanding neuroscientists in the world, with over 150 publications in the most prestigious scientific journals. He is also passionate about experimentation and has worked with magicians, chess masters, musicians, athletes and visual artists to bring his knowledge of neuroscience to different aspects of human culture and apply it in different contexts. He has participated twice (2016 and 2017) in the TED global events in Vancouver, the second with Dan Ariely.

You are here