Estimating the pose of hand-held objects is a critical and challenging problem in robotics and computer vision. While leveraging multi-modal RGB and depth data is a promising solution, existing ...

Coordinating complicated interactive systems, whether it's the different modes of transportation in a city or the various ...

If you buy through a BGR link, we may earn an affiliate commission, helping support our expert product labs. OpenAI surprised us all with ChatGPT’s new image-generation features, which went ...

To break down that unfamiliarity, the curriculum starts by introducing the various types of AI, such as natural language processing, automated speech recognition and computer vision. Students then ...

As a follow-on course to "Linear Kalman Filter Deep Dive", this course derives ... to tune Kalman-filter noise-uncertainty covariances online. You will learn how to estimate the parameters of a ...

Abstract: Direction of arrival (DOA) estimation using coprime linear arrays has garnered significant attention ... The term “DePattern" refers to the algorithms and analyses developed based on the ...

This work proposes an adaptive linear state estimation algorithm tailored for unbalanced distribution systems with single-phase and two-phase laterals. Furthermore, a modified Optimal PMU Placement ...

Researchers from Quantinuum have now developed an end-to-end quantum algorithm capable of ... the researchers were able to estimate that a quantum computer with approximately 85 qubits (compared ...