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Results for "standard model"

How does the universe work?

KAUST ·

John Ellis, a theoretical physicist from King's College London, spoke at KAUST's 2019 Winter Enrichment Program about understanding how the universe works. He discussed the Standard Model of particle physics, highlighting fundamental particles and forces. He emphasized the crucial role of the Higgs boson in enabling the formation of atoms and the possibility of life. Why it matters: Understanding fundamental physics is crucial for technological advancement and provides a deeper understanding of our place in the cosmos, inspiring future generations of scientists in the region.

Working in the anti-matter factory

KAUST ·

KAUST alumnus Muhammed Sameed, who completed his master's degree in material science and engineering in 2012, works at CERN on the ALPHA experiment, which uses lasers to measure the properties of anti-hydrogen. Researchers at CERN are investigating the fundamental structure of the universe, including the absence of anti-matter. Current research indicates that every process that creates matter also creates anti-matter in the same amount, which does not align with the observable universe. Why it matters: This highlights KAUST's role in training scientists who contribute to cutting-edge research in fundamental physics, even at international facilities like CERN.

Generative models, manifolds and symmetries: From QFT to molecules

MBZUAI ·

A DeepMind researcher presented work on incorporating symmetries into machine learning models, with applications to lattice-QCD and molecular dynamics. The work includes permutation and translation-invariant normalizing flows for free-energy estimation in molecular dynamics. They also presented U(N) and SU(N) Gauge-equivariant normalizing flows for pure Gauge simulations and its extensions to incorporate fermions in lattice-QCD. Why it matters: Applying symmetry principles to generative models could improve AI's ability to model complex physical systems relevant to materials science and other fields in the region.

From Learning, to Meta-Learning, to Lego-Learning — theory, systems, and engineering

MBZUAI ·

MBZUAI President Eric Xing delivered a talk at Carnegie Mellon University on May 13, 2022, titled “From Learning, to Meta-Learning, to Lego-Learning — theory, systems, and engineering.” Xing discussed the development of a standard model for learning, inspired by the standard model in physics, which aims to unify various machine learning paradigms. Before joining MBZUAI, Xing was a professor at CMU and founder of Petuum Inc., an AI development platform company. Why it matters: This talk highlights MBZUAI's leadership in advancing theoretical frameworks for machine learning and its commitment to unifying different AI approaches.

At the forefront of programming models

KAUST ·

KAUST held its second hackathon and third NVIDIA workshop. Attendees listened to lectures from international experts. Participants worked on porting their scientific applications to a GPU accelerator. Why it matters: Such events help build regional expertise in accelerated computing and attract international collaboration.

KAUST, Abdul Latif Jameel Motors, and Toyota partner in zero-carbon fuel cell technologies

KAUST ·

KAUST, Abdul Latif Jameel Motors, and Toyota have formed a partnership to advance hydrogen fuel cell research in Saudi Arabia, supporting the Kingdom's decarbonization goals. KAUST has acquired proton electrolyte membrane (PEM) fuel cell modules from Toyota to establish a dedicated laboratory under its Clean Energy and Research Platform (CERP). Researchers at KAUST are conducting studies to optimize PEM fuel cells for Saudi Arabia's environmental conditions, aiming to maximize efficiency and reliability. Why it matters: This collaboration supports Saudi Arabia's Vision 2030 and net-zero goals, fostering innovation in hydrogen technology and sustainable energy solutions within the region.

A matter of antimatter

KAUST ·

KAUST alumnus Dr. Muhammed Sameed works at CERN on the ALPHA project, studying antimatter. The project aims to understand why there is so little antimatter in the universe, given that physics equations predict equal amounts of matter and antimatter. Sameed's work involves creating, trapping, and studying antimatter particles in a controlled lab environment. Why it matters: This research advances our understanding of fundamental physics and the composition of the universe, with a KAUST alumnus playing a key role.