Hanan Kalaz

New Bayesian method enables rapid detection of quantum dot charge states

A research team has developed a new technique to rapidly and accurately determine the charge state of electrons confined in semiconductor quantum dots — fundamental components of quantum computing systems. The method is based on Bayesian inference, a statistical framework that estimates the most likely state of a system using observed data.

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Researchers develop a novel vote-based model for more accurate hand-held object pose estimation

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 approaches still face challenges due to hand-induced occlusions and multimodal data fusion. In a new study, researchers developed a novel deep learning framework that addresses these

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Broader antibiotic use could change the course of cholera outbreaks, research suggests

Recent disease modeling research challenges public health guidelines recommending conservative antibiotic use for cholera, suggesting that for some outbreaks, prescribing antibiotics more aggressively could slow or stop the spread of the disease and even reduce the likelihood of antibiotic resistance.

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