LCGC International interviewed Bob Pirok from the University of Amsterdam, Netherlands to discuss strategies for enhancing ...

RCM Technologies is rebounding with strong results, rising margins, solid cash flow, and AI exposure driving a bullish ...

Most of current Convolution Neural Network (CNN) based methods for optical flow estimation focus on learning optical flow on synthetic datasets with groundtruth, which is not practical. In this paper, ...

While AIVL uses AI to dynamically adjust its value definition, WTV’s design has delivered stronger shareholder yield and ...

Because of the system’s focus on chart review, and the significant amount of human labor it takes to do it, its leaders have long been searching for a solution like Layer Health to aid the process.

Traffic flow prediction plays a crucial role in Intelligent Transportation Systems (ITS), as it substantially enhances traffic management efficiency, alleviates congestion, and improves road safety.

[ICASSP 2024] 🍵 Matcha-TTS: A fast TTS architecture with conditional flow matching. machine-learning text-to-speech deep-learning tts probabilistic tts-engines tts-api diffusion-model ...

Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, ...

SchNet - a deep learning architecture for molecules and materials. The Journal of Chemical Physics 148(24), 241722 (2018) 10.1063/1.5019779 [4] K. T. Schütt, O. T. Unke, M. Gastegger Equivariant ...

But this merger isn't just about scaleit's about a full-stack transformation. From cryogenic compression to digital flow management, the new firm wants to offer cradle-to-grave solutions for ...