An automated machine-learning program developed by researchers ... bone density scans taken during routine clinical testing. The algorithm shortens the timeframe to screen for AAC significantly ...

The neural network adapts as different conditions are encountered, allowing the squid to make decisions and strengthen its algorithms. [ViciousSquid] is using a Hebbian learning algorithm which ...

The resulting PAM machine learning algorithm (PAMmla) predicted the PAMs of some 64 million SpCas9 enzymes. It then identified efficacious and specific enzymes that outperformed existing evolution ...

Late Saturday, the Trump administration asked the Supreme Court to “dissolve” the temporary block and allow lower ... a number of institutions of higher learning over diversity and equity ...

But he noted that with Republicans in control of both the House and the Senate, there was probably little legislative action that Democrats could take to block the administration. “I think this ...

To address these issues, this paper proposes an improved F-RRT* algorithm based on the Generalized Voronoi Diagram (GVD), called GVDF-RRT*. First, a sparse sampling strategy based on GVD is proposed, ...

May 7, 2025 — In a sweeping new study of more than 13,000 urban areas worldwide, researchers have mapped air pollution levels and carbon dioxide emissions, ... May 7, 2025 — Wealthy ...

Abstract: Sparse Bayesian learning ... Gaussian generalized approximate message passing algorithm (Damoed GGAMP) is introduced on the basis of SBL to avoid the matrix inversion problem. Combined with ...