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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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Explore multi-fidelity linear regression for scientific machine learning, addressing data scarcity challenges in complex engineering systems through innovative training approaches.
Explore innovative neural network-based techniques for efficient reduced-order modeling of complex parametric partial differential equations, focusing on intrusive and interpretable methodologies.
Explore the ethical and strategic implications of targeting nuclear facilities in military operations, examining proportionality and international law.
Explore advancements in reduced-order modeling for graphics and sound, focusing on progressive simulation for art-directable physics and improved water sound synthesis using coupled acoustic bubbles.
Explore innovative neural network training methods combining backpropagation and forward-forward algorithms to address limitations in complex, physics-related AI applications.
Explore autoencoders for aerodynamic predictions, focusing on flow past wing geometries. Learn about non-linear compression, latent representations, and uncertainty quantification in data-driven modeling.
Explore the implications of US energy superpower status and its impact on global diplomacy with insights from Paul Dabbar.
Explore AI safety with Dr. Yoshua Bengio, focusing on run-time risk evaluation and Bayesian approaches to mitigate potential harm from advanced AI systems.
Explore numerical solvers for viscous contact problems in glaciology, focusing on ice flow modeling, subglacial cavities, and marine ice sheet dynamics. Overcome computational challenges in Stokes equations.
Explore integrating cybersecurity and machine learning in transportation systems. Learn about challenges, research, and innovative solutions for securing Internet of Transportation and Intelligent Transportation Systems.
Explore effective climate change communication strategies with Alice Hill, emphasizing the importance of clear messaging in driving climate solutions.
Explore vertical reasoning's impact on AI, enhancing image generation, symbolic regression, and PDE learning. Discover innovative approaches to integrating reasoning and learning for advanced AI applications.
Explore materials data science for reliability prediction, focusing on degradation mechanisms and stressors in complex systems like PV modules. Learn FAIRification and modeling techniques for lifetime forecasting.
Explore a Holocaust survivor's journey from Nazi Germany to America, offering insights into resilience, identity, and the immigrant experience.
Explore data-driven finite element exterior calculus for developing reduced-order models of multiphysics systems, combining machine learning with traditional finite element methods for robust surrogate modeling.
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