Colloquium
Calendar of Events
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MEAM Seminar: “Digital Twins for the Earth System”
MEAM Seminar: “Digital Twins for the Earth System”
Reliable forecasts of the Earth system are crucial for human progress and safety from natural disasters. Artificial intelligence offers substantial potential to improve prediction accuracy and computational efficiency in this field, however this remains underexplored in many domains. Here we introduce Aurora, a large-scale foundation model for the Earth system trained on over a million […]
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ESE Spring Seminar – “Machine Learning: Algorithmic and Economic Perspectives”
ESE Spring Seminar – “Machine Learning: Algorithmic and Economic Perspectives”
Algorithms are increasingly integrated into various societal applications, often directly interacting with people and communities. This highlights the importance of understanding the interplay between algorithmic decisions and economic incentives when designing machine learning algorithms. In this talk, I will explore two examples of this dynamic through the lens of privacy in data markets and fairness […]
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IDEAS/STAT Optimization Seminar: “Foundations of Deep Learning: Optimization and Representation Learning”
IDEAS/STAT Optimization Seminar: “Foundations of Deep Learning: Optimization and Representation Learning”
Deep learning's success stems from the ability of neural networks to automatically discover meaningful representations from raw data. In this talk, I will describe some recent insights into how optimization enables this learning process. First, I will show how optimization algorithms exhibit surprisingly rich dynamics when training neural networks, and how these complex dynamics are […]
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PICS Colloquium: Powering decarbonization with modeling and optimization of renewables in the multi-scale atmosphere
PICS Colloquium: Powering decarbonization with modeling and optimization of renewables in the multi-scale atmosphere
To meet net-zero carbon emissions targets by mid-century, up to a -fold increase in wind power capacity is required. Acceleration to this rate requires urgent improvements to efficiency and reliability of installed wind farms, as well as cost reductions for future offshore farms. To expand energy production, wind turbines are rapidly increasing in size, wind […]
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ESE Spring Seminar – “AI as a Lens: Expanding Vision for Scientific Discovery”
ESE Spring Seminar – “AI as a Lens: Expanding Vision for Scientific Discovery”
Conventional approaches to scientific discovery often prioritize building larger sensors, gathering more data, and scaling up computational power. In this talk, I will present a complementary perspective: extracting insights hidden in the data we already have. The key lies in using AI not as a black-box predictor, but as a tool for interpreting data through […]
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ESE Spring Seminar – “Quantum Simulation of Electronic Materials with a Superconducting Qubit Array”
ESE Spring Seminar – “Quantum Simulation of Electronic Materials with a Superconducting Qubit Array”
Arrays of coupled superconducting qubits are a compelling platform for analog quantum simulations of solid-state matter and many-body physics. These devices natively emulate the Bose-Hubbard model while offering a high degree of control, fast operation rates, and site-resolved readout. We discuss recent experiments using a 4-by-4 array of transmon qubits. By adopting a parametric coupling […]
IDEAS/STAT Optimization Seminar: “Theoretical foundations for multi-agent learning”
IDEAS/STAT Optimization Seminar: “Theoretical foundations for multi-agent learning”
As learning algorithms become increasingly capable of acting autonomously, it is important to better understand the behavior that results from their interactions. For example, a pervasive challenge in multi-agent learning settings, which spans both theory and practice and dates back decades, has been the failure of convergence for iterative algorithms such as gradient descent. Accordingly, […]
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PICS Colloquium: Unraveling Internal Friction in a Coarse-Grained Protein Model
PICS Colloquium: Unraveling Internal Friction in a Coarse-Grained Protein Model
Understanding the dynamic behavior of complex biomolecules requires simplified models that not only make computations feasible but also reveal fundamental mechanisms. Coarse-graining (CG) achieves this by grouping atoms into beads, whose stochastic dynamics can be derived using the Mori-Zwanzig formalism, capturing both reversible and irreversible interactions. In liquid, the dissipative bead-bead interactions have so far […]
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ESE Spring Seminar – “Towards quantum interconnects: entangling microwave and optical photonic qubits”
ESE Spring Seminar – “Towards quantum interconnects: entangling microwave and optical photonic qubits”
Modern computing and communication technologies, such as supercomputers and the internet, are based on optically-linked networks of information processors operating at microwave frequencies. An analogous architecture has been proposed for quantum networks using optical photons to distribute entanglement between remote superconducting quantum processors. Here I will discuss our recent demonstration of a chip-scale source of […]
ESE Guest Seminar – “On Team Decision Problems with Nonclassical Information Structures”
ESE Guest Seminar – “On Team Decision Problems with Nonclassical Information Structures”
Team theory is a mathematical formalism for decentralized stochastic control problems in which a “team,” consisting of a number of members, cooperates to achieve a common objective. It was developed to provide a rigorous mathematical framework of cooperating members in which all members have the same objective yet different information. In static team problems, the […]