Crest
PulseAugur coverage of Crest — every cluster mentioning Crest across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
-
Apple ML Research unveils MVICAD2 for multi-view data analysis
Apple Machine Learning Research has introduced MVICAD2, a novel method for analyzing multi-view data, particularly in neuroscience. This technique extends previous models by accounting for both temporal delays and dilat…
-
New AI framework CREST segments polar lows in SAR imagery
Researchers have developed a novel weakly supervised semantic segmentation framework called CREST to identify polar lows in Sentinel-1 SAR imagery. This method addresses the challenge of limited pixel-level masks by gen…
-
South Korean investors favor 3x leverage amid restrictions; Apple CarPlay navigates to boats
Retail investors in South Korea are increasingly turning to leveraged products, specifically 3x leverage, following recent losses, while 2x leverage products have become restricted. This trend is observed across major f…
-
CarPlay and Android Auto now available on MasterCraft pontoon boats
MasterCraft is integrating Apple's CarPlay and Google's Android Auto into its pontoon boats, offering drivers enhanced navigation and entertainment features. The new system, available on Crest and Balise models starting…
-
New CREST method improves AI dynamics models' temporal credit assignment
Researchers have introduced a new method called CREST to address the temporal credit problem in learned dynamics models. This issue arises when models, trained with only trajectory-level supervision, incorrectly assign …
-
CREST framework optimizes AI models for low-power embedded systems
Researchers have developed CREST, a hardware-in-the-loop neural architecture search (NAS) framework specifically designed for low-power embedded sensing systems. This framework addresses the limitations of existing meth…
-
CREST method efficiently selects key frames from long videos
Researchers have developed CREST, a novel method for efficiently selecting key frames from long videos. This training-free approach leverages the temporal geometry of query-frame relevance, specifically focusing on loca…