Sony acquires AI specialist Cinemarsive Labs to boost game graphics

Sony Interactive Entertainment announced on April 2nd that it has acquired Cinemarsive Labs, bringing the London-based computer vision team into its visual computing group. Founded in 2022, the startup specializes in transforming 2D images into voluminous 3D experiences using AI-driven technology. The Cinemarsive team will focus on applying machine learning to enhance gameplay visuals and […]

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Intelligent lifetime prediction approach using machine learning models for power transformers

Cellulose, a natural glucose polymer, gradually degrades over time due to polymer chain scission under the influence of operating conditions during transformer operation. The molecular weight of insulating paper decreases when thermal aging is accelerated, especially in the presence of moisture and oxygen. This aging process produces degradation byproducts such as furan, carbon oxides (CO2 […]

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Editorial: Machine learning algorithms for brain imaging: new frontiers in neurodiagnosis and therapy

The field of neuroimaging has undergone profound transformation in recent years, driven primarily by rapid advances in machine learning (ML), and especially deep learning (DL), techniques. These computational innovations have been amplified by ongoing improvements in brain imaging modalities, such as structural MRI (sMRI), functional MRI (fMRI), diffusion tensor imaging (DTI), and positron emission tomography […]

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Rocket Close transforms mortgage document processing with Amazon Bedrock and Amazon Textract

This post is cowritten by Jeremy Little and Chris Day from Rocket Close. Rocket Close, a Detroit-based title and appraisal management company within the Rocket Companies environment, has enhanced mortgage document processing by transforming a time-consuming manual process into an efficient automated solution. Processing approximately 2,000 abstract package files daily, with each file averaging 75 […]

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Causal Inference Is Eating Machine Learning

shipped a readmission-prediction model in early 2024. This is a composite case drawn from patterns documented by Hernán & Robins in Nature Machine Intelligence, but every detail maps to real deployment failures.  Accuracy on the held-out test set: 94%. The operations team used it to decide which patients to prioritize for follow-up calls. They expected readmission rates […]

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How to Handle Classical Data in Quantum Models

recent years, quantum computing has attracted growing interest from researchers, businesses, and the public. “Quantum” has become a buzzword that many use to attract attention. As this field has gained popularity, quantum machine learning (QML) has emerged as an area where quantum computing and machine learning meet. As someone with an interest in machine learning […]

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An interpretable machine learning model for early risk stratification of medium-to-giant coronary artery aneurysm in Kawasaki disease: development and external validation

McCrindle, B. W. et al. Diagnosis, treatment, and long-term management of kawasaki disease: a scientific statement for health professionals from the American Heart Association. Circulation. 135, e927–e999 (2017). Article  PubMed  Google Scholar  Jone, P. N. et al. Update on diagnosis and management of Kawasaki disease: a scientific statement from the American Heart Association. Circulation 150, […]

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