Abstract: The range-spread target detection problem typically faces uncertainty in the number and locations of target scattering centers (TSCs), which severely limits the performance of traditional ...

Artificial intelligence is getting more powerful—but it's also racking up a massive energy bill. Some estimate that one ...

A new fingerprint matching algorithm developed by Precise Biometrics delivers significantly higher accuracy, along with stronger security and easier use.

The outcome of a three-month project from CWI, ARCNL and Photosynthetic was a physical proof-of-principle Optical Neural ...

FLAMeS, a new convolutional neural network, enhances MS lesion segmentation accuracy using only T2-weighted FLAIR images, ...

Large ML models and datasets have necessitated the use of multi-GPU systems for distributed model training. To harness the power offered by multi-GPU systems, it is critical to eliminate bottlenecks ...

Human brains can turn a single messy experience into a lasting skill, while even the most advanced artificial intelligence ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Abstract: With the wide application of graph neural network (GNN) in many fields, how to extract and aggregate node features effectively has become a hot research issue. In this paper, we propose a ...

The work that we’re doing brings AI closer to human thinking,” said Mick Bonner, who teaches cognitive science at Hopkins.