Monarch framework, currently experimental, allows Python programmers to program distributed systems as if they were just one ...
This study offers a valuable methodological advance by introducing a gene panel selection approach that captures combinatorial specificity to define cell identity. The findings address key limitations ...
When machine learning is used to suggest new potential scientific insights or directions, algorithms sometimes offer ...
KillChainGraph predicts attack sequences using machine learning. Rather than just flagging individual suspicious events, it ...
FedCCS: Efficient Federated Learning with Clustering-Based Client Selection and Bandwidth Allocation
Abstract: Federated learning (FL) has emerged as the most promising distributed machine learning training framework due to its advantages in efficiency, privacy preservation, and scalability. In the ...
This interesting study adapts machine learning tools to analyze movements of a chromatin locus in living cells in response to serum starvation. The machine learning approach developed is useful, the ...
This year, Littleford-Colquhoun joined researchers from Yellowstone National Park and Brown’s Genomic Opportunities Lab on a ...
Abstract: Smartphones equipped with GPS and accelerometer sensors enable large-scale collection of spatiotemporal data, which can be leveraged for transportation research and urban analysis. In this ...
October, historically one of the strongest months for Bitcoin (BTC) has already got off to a flyer in what many in the crypto industry label ‘Uptober’. Trading at around $119,810 at press time, the ...
A pair of 2-1 divisional rivals will face off on Thursday Night Football as the Arizona Cardinals host the Seattle Seahawks. Both Kyler Murray and Sam Darnold figure to factor into NFL prop bets, as ...
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