A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...
AI in daily life powers hidden features in smartphones, appliances, navigation, and fitness devices, enhancing efficiency, personalization, and predictive performance seamlessly.
Abstract: Existing fall detection based on radar point cloud faces the challenges of low resolution point cloud estimation and sparsity, which seriously restricts the system detection performance.
Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...
Abstract: Fall detection systems are critical in elderly care and healthcare monitoring, but traditional camera-based solutions raise significant privacy concerns. This research presents a novel ...
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Can you survive a fall using an Ender Pearl?
This video demonstrates Minecraft gameplay mechanics involving the use of an Elytra and an Ender Pearl within the Nether environment. When the player's flight equipment fails unexpectedly, a rescue ...
Multimodal turn detection that combines audio intonation and text context to accurately determine when a speaker has finished their turn in a conversation. The model projects audio embeddings into the ...
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