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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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Introduction to Research Ethics: Working with People
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Rome: A Virtual Tour of the Ancient City
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Secure system enabling smaller networks to optimize Internet routing without relying on large providers. Exposes diverse paths, collects telemetry, and dynamically reroutes traffic to improve performance.
Innovative flow scheduling solution QCLIMB minimizes completion times in data center networks using imprecise flow information, outperforming existing methods without switch modifications.
Innovative system for high-speed online traffic classification using ML in network switches. Enables real-time analysis for security, QoS, and IoT applications at multi-terabit rates with high accuracy and flexibility.
Innovative system for training large language models on 10,000+ GPUs, addressing efficiency and stability challenges through full-stack optimization and advanced diagnostic tools.
Innovative key-value storage system using lock-free design for concurrent updates, achieving higher throughput and lower latency than state-of-the-art alternatives.
Junction: A kernel bypass system enabling dense packing of cloud instances while maintaining Linux app compatibility. Improves throughput and latency without code changes, supporting various runtimes and outperforming native Linux.
Innovative satellite network system for IoT devices, leveraging Doppler shift for improved packet detection and decoding in low-signal environments, with 3x better performance.
Unified platform for analyzing, implementing, and experimenting with Byzantine Fault-Tolerant protocols, exploring design dimensions and trade-offs to navigate the complex BFT landscape.
Innovative GPU-accelerated system for efficient vector query processing on large datasets, overcoming memory limitations and outperforming existing solutions in performance and cost-effectiveness.
Unveils real-life cloud resource hijacks, revealing unexpected attacker strategies and developing novel detection methods. Analyzes 20,904 hijacked resources, exposing prevalent abuse tactics and attacker infrastructures.
Innovative neural video codec enhances real-time communication resilience, reducing undecodable frames by 95% and stall duration by 90% compared to conventional methods, while maintaining high video quality across various loss scenarios.
Introduces FLM, a language for network monitoring that recognizes packet sequences. Compiles to P4 code for switch ASICs, enabling efficient implementation of various monitoring tasks.
Explore Jolteon, an innovative orchestrator for serverless workflows that optimizes resource provisioning, enhancing cost-efficiency and performance through advanced modeling and optimization techniques.
Innovative framework for scaling sketching algorithms across multiple cores, enhancing network monitoring accuracy and performance with continuous, change-based aggregation mechanism.
Innovative approach to improve datacenter switch performance using machine learning predictions for buffer sharing, enhancing throughput and reducing flow completion times significantly.
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