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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 TinyML and computer vision optimize yard logistics by automating truck license plate detection and streamlining gate check-in processes for efficient fleet management.
Discover how ultrasound MEMS microphones can detect insufficient lubrication in ball bearings, exploring experimental results and practical applications in predictive maintenance.
Discover SnipeSearch, an advanced search tool using specialized AI agents for precision results across academic papers, videos, and web content, with built-in fact-checking for reliability.
Discover Anaflash's revolutionary 28nm AI microcontroller with embedded flash memory that eliminates memory bottlenecks, featuring zero-standby power and Near Memory Computing for efficient edge AI.
Discover ultra-low-power neuromorphic microcontrollers using spiking neural networks for real-time edge AI applications in wearables and IoT devices.
Discover ADA, a neuromorphic processor using time-encoded spikes for ultra-low power edge computing with 5x better efficiency than traditional MCUs.
Discover Arduino's accessible approach to edge AI through a four-step journey from no-code experiments to production deployment, featuring open hardware and cloud-native tools.
Discover how edge AI revolutionizes energy infrastructure through intelligent monitoring, optimization, and predictive capabilities in smart grids and EV charging systems.
Discover how industry leaders tackle edge AI deployment challenges, from hardware optimization to real-world scaling across millions of devices while balancing cost and performance.
Discover how ST Microelectronics' ST-IoT Craft platform enables developers to create intelligent IoT systems with embedded AI sensors using intuitive browser-based tools—no coding required.
Discover how Tsetlin Machine revolutionizes AI with Boolean logic, achieving 10x faster inference and 20x energy efficiency over neural networks for edge computing applications.
Unlock the power of smartphone MPUs for lightning-fast, private AI inference without cloud costs. Optimize models, benchmark across 200+ devices, and deploy with copy-paste simplicity.
Discover how to secure edge AI deployments with verified boot, OTA updates, model protection, and compliance-ready logging to prevent attacks and ensure end-to-end trust.
Discover how stochastic training protects AI models from side-channel attacks on edge devices, achieving 50% leakage reduction while maintaining accuracy through clever parameter switching.
Discover Sony's IMX500 sensor that processes AI directly on-chip, enabling privacy-preserving smart city solutions with minimal bandwidth and power requirements for traffic and beyond.
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