Somewhere in the inner solar system, an asteroid nobody has ever seen through a telescope is falling apart, scattering a trail of rocky debris across Earth’s annual path around the Sun. Every year, ...

A parallel deep reinforcement learning framework for wind-solar-hydrogen systems cuts operational costs by 6% and accelerates ...

Abstract: Based on linear back projection (LBP) algorithm, density-based spatial clustering of applications with noise (DBSCAN) algorithm and image fusion technique, a new image reconstruction method ...

In the world of Material Informatics (MI), conventional methods involve tremendous laboratory work or extensive simulations that may not yield the expected results. Our objectives are to contribute to ...

The UK’s data protection watchdog has asked the government for urgent answers after a Home Office report revealed racial bias in the retrospective facial recognition (RFR) technology used by police.

It takes two inputs. First one is the .csv file which contains the data (no headers). In 'main.py' change line 12 to: DATA = '/path/to/csv/file.csv' And the second is the config file which contains ...

In a recent study published in the journal Cell, researchers developed a deep learning model, "LucaProt," a transformer-based AI model to detect highly divergent ribonucleic acid (RNA)-dependent RNA ...

The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...

Compared to other clustering techniques, DBSCAN does not require you to explicitly specify how many data clusters to use, explains Dr. James McCaffrey of Microsoft Research in this full-code, ...

Abstract: A modified DBSCAN algorithm is presented for deinterleaving of radar pulses in modern EW environments. A main characteristic of the proposed method is that using only time of arrival of ...