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Tests of new physics with the Lyman-alpha forestThe Lyman-alpha forest (the correlated absorption seen in the spectra of high-redshift quasars) is a uniquely powerful probe of new physics in the cosmological model - whether that be properties of the neutrino, the nature of cosmic inflation or the phenomenology of dark matter. The challenge lies in robustly disentangling ...
Where: StanfordCost: Free
Particle physics beyond the Standard Model (and other fun) with clusters of galaxies Clusters of galaxies provide superb laboratories for exploring new particle physics. They represent the most massive dark matter objects in the Universe, making them an important laboratory for probing dark matter decay and annihilation signatures. However, in this talk, I will highlight how the transparency (or lack thereof) of the ...
Where: BerkeleyCost: Free
Atom Defined Fabrication Comes of Age: Binary Logic and an Ising SimulatorThe long persistent barriers to atom-defined fabrication in silicon have been overcome. In the last year or two A.I. enabled printing and editing of atomically-perfect ensembles has become routine. I will discuss atomic circuitry composed of individual silicon surface dangling bonds that has the potential to address the shortcomings of ...
EXPLORING PLANETS ORBITING NEARBY STARSThe NASA Transiting Exoplanet Survey Satellite (TESS) mission launched last year and is finding hundreds of planets orbiting nearby stars. The TESS mission will probe the compositional diversity of small planets, investigate the formation of planetary systems, and set the stage for the next phase of exoplanet exploration: the quest ...
In the field of engineering, dimensionless numbers frequently help to characterize the state of a system. I will present a series of vignettes about unusually large dimensionless numbers that arise in brain science. These can indicate issues that are poorly understood, and in some cases clearly misunderstood.Speaker: Markus Meister, Caltech
Introduction of PyTorch and Transfer LearningPyTorch is the fastest growing framework to build deep learning algorithms. In this one hour seminar, we will cover the state of the art of deep learning. We will provide an intuitive understanding of model development in PyTorch.To solve real-world problems , we will introduce Transfer Learning, where you can ...
