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Source channel @githubtrending · Post #14659 · May 1

#cplusplus#arm#convolution#deep_learning#embedded_devices#llm#machine_learning#ml#mnn#transformer#vulkan#winograd_algorithm MNN is a lightweight and efficient deep learning framework that helps run AI models on mobile devices and other small devices. It supports many types of AI models and can handle tasks like image recognition and language processing quickly and locally on your device. This means you can use AI features without needing to send data to the cloud, which improves privacy and speed. MNN is used in many apps, including those from Alibaba, and supports various platforms like Android and iOS. It also helps reduce the size of AI models, making them faster and more efficient. https://github.com/alibaba/MNN

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Crypto M - Crypto News

@CryptoM · Post #64776 · 04/09/2026, 10:11 PM

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🚀 CFTC and DOJ Legal Actions Could Influence Future of Prediction Markets The Commodity Futures Trading Commission (CFTC) and the Department of Justice (DOJ) have initiated legal proceedings against the states of Arizona, Connecticut, and Illinois concerning their actions against CFTC-registered prediction markets. According to NS3.AI, a recent 2-1 ruling by the Third Circuit Court upheld an injunction preventing New Jersey from applying its gambling laws to Kalshi, a prediction market platform. The court determined that Kalshi's contracts related to sports events are classified as swaps under the Commodity Exchange Act, thereby falling under the exclusive jurisdiction of the CFTC. This legal dispute has the potential to significantly influence the regulatory framework for decentralized prediction markets and crypto-native derivatives across the United States. #CFTC#DOJ#PredictionMarkets#Kalshi#CommodityExchangeAct#Regulation#CryptoDerivatives#USLaw#LegalActions#DecentralizedFinance

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