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 ...

In a recent advance, a multi-disciplinary team of researchers developed a machine learning framework that adapts to changes ...

Researchers pioneered the integration of CNN-LSTM with bond stress-slip constitutive modeling and proposed a deep ...

MIT researchers have created a periodic table that shows how more than 20 classical machine-learning algorithms are connected ...

Cloud governance has undergone a transformative shift with the rise of policy automation, a technological advancement redefining security,, and operational effi ...

Patients are compared to each other using multivariate time series (MTS) data. Each ICU patient's stay is represented as a ...

Choosing the right front-end framework is critical, as it directly impacts scalability, performance, and maintainability. Today, Vue.js is among the world’s most popular frameworks – a recent survey ...

The AI summit Machines Can See 2025, held in Dubai, was a resounding success — uniting global AI stakeholders and fostering ...

To this end, we propose the SGC-Informer-based deep learning framework for fast and accurate trajectory prediction, called FESIG. Specifically, a comprehensive explicit entity vectorized ...