Surabhi Bhargava went from an entry-level role to a machine learning lead at Adobe in ... I started with computer vision, moved to natural language processing, and now I'm focused on generative ...

Abstract: Deep reinforcement learning has achieved superhuman racing performance ... To address this limitation, we introduce a vision-based autonomous racing agent that relies solely on ego-centric ...

School of Mechanical and Equipment Engineering, Hebei University of Engineering, 19 Taiji Road, Congtai District, HanDan 056038, P. R. China ...

alwaysAI brings deep learning computer vision to IoT devices. We provide developers an end-to-end platform to quickly build, deploy and run CV apps on the edge.

Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field ...

Machine learning (ML) methods for automatically extracting field boundaries from remotely sensed images could help realize the demand for these datasets at a global scale. However, current ML methods ...

The course explores areas such as computer vision, machine learning, robotic motion and planning, as well as reinforcement learning. You can find out more here. There’s great synergy between the ...

The research in this area cares about the accessing of ubiquitous signals with diverse sensing approaches, the information extraction and mining through advanced signal processing and machine learning ...