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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 how to implement image classification on Raspberry Pi for edge computing applications, exploring practical techniques for efficient AI processing on resource-constrained devices.
Explore AI/ML applications in 6G wireless network design, from indigenous 5G development to future 6G standards and deployment strategies.
Explore how communication engineering strategies can model infectious disease growth and design optimal testing and vaccination approaches under resource constraints.
Explore advanced MIMO sensing and communications through sparse arrays, spatial modulation, and subspace codes for resource-efficient NextG systems.
Explore assumption-free theory for recovering sparse adversarial corruption in linear measurements, revealing the smallest robust solution set for arbitrary matrices.
Discover quantum algorithms that outperform classical methods in distributed computing, focusing on leader election and agreement problems with superior message efficiency.
Discover AltGDmin algorithms for Byzantine-resilient federated learning in low-rank matrix problems and explore ML-enabled K-12 math tutoring solutions for improved STEM education.
Explore the decoupling theorem in quantum information theory, its applications in channel capacity, and derandomization using pseudo-random unitaries for efficient quantum processing.
Explore multi-paradigm simulation techniques for healthcare decision-making through campus reopening policies and VR-based medical training case studies.
Explore statistical inference challenges in adaptive experimentation and discover how Upper Confidence Bound algorithms enable valid A/B testing despite data dependency issues.
Discover Stein's method for analyzing diffusion approximations in queueing systems through generator comparison techniques and Markov process stationary distribution bounds.
Explore dynamic content caching optimization using restless multi-armed bandits to minimize costs while managing cache capacity constraints and content freshness.
Discover rate-guaranteed fair scheduling algorithms that ensure equitable resource allocation and performance guarantees in networked systems and distributed computing environments.
Discover optimal control strategies for multi-agent systems operating on sparse random networks, exploring mathematical frameworks for coordinated behavior and decision-making.
Discover techniques to handle unequal data distribution in neural networks and improve model performance on minority classes through specialized deep learning approaches.
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