Water demand projections are essential for urban water supply planning. Yet, long-term demand projections are highly overestimated and uncertain, potentially warranting unneeded costly infrastructure, which may lead to irreversible environmental impacts and exacerbate water affordability outcomes. While demand forecasting methods have improved, uncertainty in long-term demand projections remains poorly understood. ...
Where: StanfordCost: Free
Speed & Scale’s Reality CheckIn 2021, legendary investor John Doerr outlined his plan to solve climate change in his bestseller Speed & Scale. The plan outlines 10 objectives, each with their own set of key results, to cut emissions to net zero. And in true John Doerr style, the results are to be measurable ...
From Ellie's LinkedIn Bio: "...I am the fisheries biologist for the United Anglers of Casa Grande High School (UACG), a student-founded conservation hatchery dedicated to the conservation of Steelhead Trout in the Petaluma Watershed. I primarily care for the steelhead trout reared in the facility, and instruct participating high school ...
Defense and energy applications ubiquitously involve multiscale and multiphysics systems. Their accurate modeling, critical to achieve superior performances and optimized designs and control strategies, has challenged generations of computational physicists due to the mathematical and numerical complexities involved in the development of their computable representations. One of the fundamental challenges ...
Rapid advances in artificial intelligence are driving the need for fundamentally new information processing paradigms that exceed the limits of existing nanoscale technologies in energy, performance, and functionality. Biological systems offer a compelling model, tightly coupling sensing, computation, and memory within distributed architectures that achieve remarkable energy efficiency and adaptability. ...
Gottesman, Kitaev, and Preskill proposed to encode a qubit in a remarkable wavefunction, which satisfy location and momentum constraints simultaneously. Such a state offers superior error correction, but is rather hard to achieve and stabilize. We propose a circuit architecture for a dissipatively error-corrected GKP qubit. The device consists of ...
In most condensed matter systems we think of electrons as delocalized particles that roam about the energy terrain of a material much like waves in the ocean. But what happens when Coulomb repulsion between electrons becomes the dominant energy in a material? In this regime you might expect electrons to ...
The promise of quantum is real, and we are beginning to see where this technology can have the greatest impact. Decades of quantum research and development point to one primary class of practical application for quantum computing next to cryptanalysis: the simulation of quantum systems, especially for chemistry and materials science. As we ...
Nuclear energy is often labeled “too expensive.” This conclusion too often relies on incomplete and shallow analyses that rely on small samples and focus on a narrow set of benefits. This session examines the full economic picture of nuclear power: 1. Characterize overnight construction, financing, and operating costs for nuclear ...
Across the globe, more than 30 million people make their living collecting, sorting, and recycling what we throw away. Often overlooked, these waste pickers are increasingly recognized as a vital “green workforce,” helping reduce emissions and support more sustainable resource systems.In this lecture, Kate O’Neill, Professor of Environmental Science, Policy ...
Across the globe, more than 30 million people make their living collecting, sorting, and recycling what we throw away. Often overlooked, these waste pickers are increasingly recognized as a vital “green workforce,” helping reduce emissions and support more sustainable resource systems.In this lecture, Kate O’Neill, Professor of Environmental Science, Policy ...
What is consciousness - and how might we describe it scientifically? Neuroscience can map neural activity with extraordinary detail, yet the relationship between electrical signals and subjective experience remains one of humanity’s most enduring questions.Mathematician and machine learning researcher Nina Miolane approaches this question from an unexpected direction: geometry. In ...
