OpenAI, Google, and Alibaba unveil faster, cheaper AI models built for real-time apps and local devices, signaling a shift from AI power to speed and efficiency.

Abstract: Traditional machine learning approaches for biomedical time series analysis face fundamental limitations when integrating the heterogeneous data types essential for comprehensive clinical ...

Abstract: Reconstructing missing data in high-dimensional time-series remains a challenging task, especially when the underlying signals exhibit complex temporal dynamics and nonlinear relationships.

Google introduces Gemini 3.1 Flash-Lite in preview via AI Studio and Vertex AI, promising faster responses and lower costs for high-volume apps.