What: New analyses using early observations from the European Space Agency’s Euclid mission examine how galaxy mergers trigger active galactic nuclei (AGN), luminou ...
WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving classification and segmentation tasks.
AZoSensors on MSN
Low-power sensor node brings machine learning to the edge of environmental monitoring
A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time ...
MRI radiomics shows promise for rectal cancer risk stratification, accurately predicting tumour deposits and aiding treatment ...
The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts ...
The Impact of AI in Banking and Financial Services, evaluates how machine learning and natural language processing can be ...
Dengue and chikungunya, the two mosquito-borne diseases that frequently circulate at the same time, share the same Aedes ...
Using a brand new data analysis tool, astronomers identified more than 800 strange and previously undocumented space objects.
The threat to software-as-we-know-it comes from digital data: the foundational, eight-decades-long trend driving the evolution of computer technology and its varied uses.
There is an emerging convergence between atherosclerotic cardiovascular disease and cancer, driven by shared risk factors and overlapping pathophysiologic mechanisms. Traditional factors, such as ...
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