New MiniMax M2.7 proprietary AI model is 'self-evolving' and can perform 30-50% of reinforcement learning research workflow

For direct API integration and via third-party provider OpenRouter, MiniMax M2.7 maintains a cost-leading price point of 0.30 dollars per 1 million input tokens and 1.20 dollars per 1 million output ...
Devdiscourse

Deep Learning Study Forecasts How Sackett Ruling Shrinks U.S. Wetland Protection

Researchers from UC Berkeley, Yale, Stanford’s Global Policy Laboratory, and NBER developed a deep learning method to predict ...
IEEE

A Deep Learning-Based Precipitation Nowcasting Model Fusing GNSS-PWV and Radar Echo Observations

Abstract: Nowcasting plays a critical role in disaster warning systems, and recent advancements in deep learning have shown great potential in improving the accuracy and timeliness of such predictions ...
IEEE

Surface-Related Multiple Suppression Based on Prestack Seismic Data Regularization Using Deep Neural Network Wavefield Extrapolation

Abstract: The suppression of surface-related multiples has become a critical step in seismic data processing. In fact, the absence of near-offset traces acquisitions significantly compromises the ...