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 ...

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

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 ...

The study begins by identifying key deficiencies in traditional spam filtering systems. Classic rule-based methods and machine learning classifiers such as Naïve Bayes, Support Vector Machines (SVM), ...

In a digital age defined by complexity and rapidly evolving cyber threats, the need for bold and visionary innovation has never been more critical. Leading this global charge is Biodoumoye George ...

Compute-efficient AI solutions encourage democratization, allowing for dynamic innovations from different quarters.

Researchers from the USC Viterbi School of Engineering are presenting 24 papers at the 2025 International Conference on Learning Representations (ICLR), Apr. 24-28, one of the premier global ...

and deploy the models using popular deep learning frameworks, and finally to ready‐to‐consume services like Amazon Web Services Deep Lens and Amazon Rekognition and many others.

Implementing AI for the Enterprise by S. Raja Gopalan is a 2024 release on Amazon, a pragmatic and hands-on guide to ...