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India banned Telegram after the NEET paper leak led to a retest for 2.28 million students. Class Central studied the scam, the money trail, and other platforms the leaks could move to.
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Discover cutting-edge finite element methods through student lightning talks covering electromagnetic simulations, bioheat modeling, Darcy problems, and IMEX integrators in MFEM.
Explore scalable interior-point Gauss-Newton methods for large-scale PDE optimization with bound constraints using MFEM's finite element framework.
Discover MFEM's latest developments, key capabilities, and community growth through project lead Tzanio Kolev's comprehensive overview of this high-order finite element simulation framework.
Discover a new scalable particle tracking framework in MFEM for modeling billions of particles in electromagnetics and fluid dynamics with GPU acceleration and visualization tools.
Explore MFEM integration with MOOSE framework for GPU-accelerated multiphysics simulations in thermal, electromagnetic, and solid mechanics applications.
Discover how Bounce solver uses MFEM for HPC-scale ultrasonic inspection simulations, modeling elastic waves in aerospace components with up to 1 billion elements for non-destructive evaluation.
Explore why strong states fail at coercion and how the "assurance dilemma" undermines threats in international politics through nuclear counterproliferation case studies.
Explore nuclear disarmament theories and the Treaty on the Prohibition of Nuclear Weapons from a U.S. perspective, examining challenges and potential futures for abolition efforts.
Explore the emerging multipolar world order where strategic autonomy defines international relations, examining US-China dynamics and opportunities for American leadership.
Master RAJA and Umpire libraries for portable HPC applications with C++ abstractions and memory management across NUMA and GPU architectures.
Explore data-driven techniques for analyzing turbulent flows, including SPOD extensions, gappy-data reconstruction, and bispectral mode decomposition. Gain insights into coherent structures and nonlinear interactions in fluid dynamics.
Explore non-intrusive methods for computing reduced-order models, focusing on systems with large-amplitude transient growth. Learn techniques to identify oblique projection operators and reduced-order dynamics from data.
Delve into Stuart Russell's expert analysis of artificial general intelligence (AGI), exploring its potential implications, risks, and the crucial need for developing provably beneficial AI systems.
Explore ontologies, graph deep learning, and AI in materials science, focusing on advanced manufacturing and synchrotron science. Learn about innovative approaches for multimodal analysis and decision-making.
Explore Neural Differentiable Physics, unifying numerical PDEs and deep learning for enhanced computational modeling of complex physical systems. Learn innovative SciML approaches integrating physics principles with AI.
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