This research aims to reactivate object-oriented databases using intelligent tools to improve performance and accuracy in ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...

In an office at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL), a soft robotic hand carefully curls ...

Yan, H.J. and Jin, C. (2025) The Evolution of Library and Information Science in China under the Big Data Paradigm —An Empirical Study Based on Chinese Core Literature. Open Journal of Social Sciences ...

Meta’s Video Joint Embedding Predictive Architecture 2 (V-JEPA 2) is a significant advancement in Artificial Intelligence (AI). It helps robots understand and predict physical interactions. The model ...

The new training method doesn't use sensors or onboard control tweaks, but a single camera that watches the robot's movements ...

From forgotten neural networks to the deep learning boom and the shift from predictive to generative AI – here’s how machine ...

The seismic signature of a fireball meteoroid event can be used to tell whether the fireball fragmented or remained intact as it fell through the atmosphere, according to new research published in ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

Adverse weather isn't just an edge case, but it's also a core challenge for AV developers, according to Digital Divide Data.

As ADAS features become more sophisticated and widely adopted, post-repair calibration has moved from a niche service to a ...

Scientists have long known that the brain's visual system isn't fully hardwired from the start-it becomes refined by what ...