EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses machine learning to gain meaningful insights from complex biological data.

These incremental obfuscated words make the filtering speed slow down and the throughput decrease. This paper addresses the challenging throughput issue and proposes a constant time complexity ...

Deep neural networks (DNNs) have been widely used for learning various wireless communication policies. While DNNs have demonstrated the ability to reduce the time complexity of inference, their ...

Could you please tell me the time complexity of Matrix.secure_permute (), as well as the time complexities of shuffle () and secure_shuffle ()? The secure shuffles depend on the used protocol. The ...

PyQuake3D A Python tool for 3-D earthquake sequence simulations of seismic and aseismic slip PyQuake3D is a high-performance Python-based Boundary Element Method (BEM) code for simulating sequences of ...

Eventual's data processing engine Daft was inspried by the founders' experience working on Lyft's autonomous vehicle project.