The deep learning revolution has a curious blind spot: the spreadsheet. While Large Language Models (LLMs) have mastered the nuances of human prose and image generators have conquered the digital ...

Through its proprietary LTM, ‘NEXUS’, Fundamental reveals the hidden language of tables to unlock trillions of dollars in enterprise value, while a strategic partnership with AWS accelerates adoption ...

LiDAR point cloud semantic segmentation enables the robots to obtain fine-grained semantic information of the surrounding environment. Recently, many works project the point cloud onto the 2D image ...

Clevert, D.-A., Untertiner, T., and Hochreiter, S. (2016). Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs). arXiv [Preprint]. Available ...

Mitra departs from the norm by being pretrained exclusively on synthetic data. Rather than relying on the limited and heterogeneous nature of real-world tabular datasets, Amazon researchers engineered ...

The 5-4-3-2-1 grocery shopping method simplifies grocery shopping while still prioritizing whole foods. It can be modified to fit different dietary needs if necessary. Sometimes, going to the grocery ...

ABSTRACT: With the rapid development of global economic integration and digital technology, the transportation system, as a core component of the supply chain, has become a key factor influencing the ...

ABSTRACT: With the rapid development of global economic integration and digital technology, the transportation system, as a core component of the supply chain, has become a key factor influencing the ...

School of Automation Engineering, Northeast Electric Power University, Jilin 132012, China Advanced Sensor Research Institution, Northeast Electric Power University, Jilin 132012, China School of ...

The classification models built on class imbalanced data sets tend to prioritize the accuracy of the majority class, and thus, the minority class generally has a higher misclassification rate.