Presentación tesis Teledetección-Machine Learning 02-2024 - 2025_02_07 13_45 CST - Recording
https://makertube.net/videos/watch/289c7549-8f6e-40f3-9045-9b97c7aba5b7
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Going Digital: Teaching a TI-84 Handwriting Recognition - You wouldn’t typically associate graphing calculators with artificial intelligence... - https://hackaday.com/2024/12/24/going-digital-teaching-a-ti-84-handwriting-recognition/ #convolutionalneuralnetwork #artificialintelligence #graphicscalculator #texasinstruments #machinelearning #handheldshacks #neuralnetwork #handwriting #ti-84plusce #calculator #mnist #ti-84 #news
Hackaday · Going Digital: Teaching A TI-84 Handwriting RecognitionYou wouldn’t typically associate graphing calculators with artificial intelligence, but hacker [KermMartian] recently made it happen. The innovative project involved running a neural network direct…
Training a Self-Driving Kart - There are certain tasks that humans perform every day that are notoriously difficu... - https://hackaday.com/2024/12/21/__trashed-11/ #convolutionalneuralnetwork #machinelearning #self-driving #trainingdata #autonomous #crazykart #training #go-kart
Hackaday · Training A Self-Driving KartThere are certain tasks that humans perform every day that are notoriously difficult for computers to figure out. Identifying objects in pictures, for example, was something that seems fairly strai…
Greg Cocks Multi-Stage Semantic Segmentation Quantifies Fragmentation of Small Habitats at a Landscape Scale
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https://bsky.app/profile/david-alexander.bsky.social/post/3lapamlpwks25 <-- shared #BlueSky post
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https://doi.org/10.3390/rs15225277 <-- shared paper
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H/T David Alexander (@david-alexander.bsky.social)
“AI predictions of #LandCover in the #PeakDistrict #NationalPark [UK]…”
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#GIS #spatial #mapping #remotesensing #semanticsegmentation #convolutionalneuralnetwork #landcoverprediction #habitatfragmentation #landcover #AI #CNN #conservation #planning #management #habitats #machinelearning #PDNP #PeakDistrict #NationalPark #NP #UK #Britain #England #spatialanalysis #model #modeling
![aerial image with annotation - “AI predictions of #LandCover in the #PeakDistrict #NationalPark [UK]…”](https://files.techhub.social/media_attachments/files/113/511/816/323/363/980/original/f3515246828f3f81.jpg "aerial image with annotation - “AI predictions of #LandCover in the #PeakDistrict #NationalPark [UK]…”")
![charts and images - Multi-stage semantic segmentation approach, where (a) land cover (LC) is predicted from RGB images in multiple stages: classification of the main class, overlaying the OS NGD layer, classification of the detailed subclasses, and post-processing to further split up subclasses (based on soil data). (b) The classifiers are Convolutional Neural Networks that use the U-Net architecture, consisting of convolutional layers as well as skip connections [14,34] to map RGB images to LC predictions. (c) The LC schema is hierarchical, and multiple classifiers and post-processing layers are used to predict all subclasses. Colours correspond to the steps in panel (a).](https://files.techhub.social/media_attachments/files/113/511/816/450/678/630/original/2515e73e8e0119fb.png "charts and images - Multi-stage semantic segmentation approach, where (a) land cover (LC) is predicted from RGB images in multiple stages: classification of the main class, overlaying the OS NGD layer, classification of the detailed subclasses, and post-processing to further split up subclasses (based on soil data). (b) The classifiers are Convolutional Neural Networks that use the U-Net architecture, consisting of convolutional layers as well as skip connections [14,34] to map RGB images to LC predictions. (c) The LC schema is hierarchical, and multiple classifiers and post-processing layers are used to predict all subclasses. Colours correspond to the steps in panel (a).")
While we're (needfully) obsessing over AI in the world of direct human affairs, there's an explosion of productive exploitation of deep learning in the natural (often anthropogenically-influenced) world.
And these applications need to survive more than an elevator pitch.
Side-product, perennially surfaced during weekly climate research trawl:
https://www.sciencedirect.com/science/article/pii/S0034425723003930
#DeepLearning
#TreeMortality
#WildFire
#ConvolutionalNeuralNetwork
Google’s Augmented Reality Microscope Might Help Diagnose Cancer - Despite recent advances in diagnosing cancer, many cases are still diagnosed using... - https://hackaday.com/2023/10/01/googles-augmented-reality-microscope-might-help-diagnose-cancer/ #convolutionalneuralnetwork #augmentedreality #medicalhacks
Hackaday · Google’s Augmented Reality Microscope Might Help Diagnose CancerDespite recent advances in diagnosing cancer, many cases are still diagnosed using biopsies and analyzing thin slices of tissue underneath a microscope. Properly analyzing these tissue sample slide…
https://phys.org/news/2023-09-ai-algorithm-microscopic-nematicity-moir.html
"…typically composed of stacks of #graphene layers with a relative twist…attracted immense attention from the #condensedmatter community…due to their high tunability and…make these systems a perfect playground for testing theories from #stronglycorrelatedphenomena…but directly obtaining these details from experimental data is often an ill-defined inverse problem…we trained a #convolutionalneuralnetwork…to recognize features of #nematicity from the data…"
Phys.orgAI algorithm learns microscopic details of nematicity in moiré systems
Teaching a Mini-Tesla to Steer Itself - At the risk of stating the obvious, even when you’ve got unlimited resources and a... - https://hackaday.com/2023/09/02/teaching-a-mini-tesla-to-steer-itself/ #convolutionalneuralnetwork #transportationhacks #machinelearning #behaviorcloning #steeringangle #self-driving #autonomous #servo #tesla
HackadayTeaching A Mini-Tesla To Steer ItselfAt the risk of stating the obvious, even when you’ve got unlimited resources and access to the best engineering minds, self-driving cars are hard. Building a multi-ton guided missile that can…
In https://www.youtube.com/watch?v=7RyDhIrwOHM a new interview with the student who in May won a big prize for #ExoScout, an #exoplanet detection system comprising a new phase folding algorithm with a #GraphicsProcessingUnit and a #ConvolutionalNeuralNetwork - CNN; https://en.wikipedia.org/wiki/Convolutional_neural_network - detector that already found three unknown ultra-short-period (USP) planets in #Kepler data: see https://projectboard.world/isef/project/phys056-ultra-short-period-planets-discovered-by-exoscout for many details and more in https://www.snexplores.org/article/2023-regeneron-isef-winners-exoplanets-mpox-insect-pests-suicide-prevention and https://www.societyforscience.org/press-release/high-schoolers-win-nearly-9-million-at-regeneron-isef-2023/ and https://www.youtube.com/watch?v=68LqXLRD-WU
Area Estimation of Mango and Coconut Crops using Machine Learning in Hesaraghatta Hobli of Bengaluru Urban District, Karnataka [India]
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https://doi.org/10.58825/jog.2023.17.1.75 <-- shared paper
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#GIS #spatial #mapping #spatialanalysis #Mango #Coconut #Areaestimation #Machinelearning #ConvolutionalNeuralNetwork #CNN #RandomForest #RF #agricultural #agriculture #farming #estimates #Karnataka #India #acreage #production #horticulture #commodities #export #remotesensing #satellite #GoogleEarthEngine #GEE #Copernicus #Sentinel2 #algorithms #learning #google #ml
#Introdiction : I'm a mathematician moving towards data science topics, based in Chile. Some interests:
#geometry #datageometry #discretegeometry #materialscience
#hyperbolicneuralnetwork
#GraphNeuralNetwork #GNNs
#topology #TDA #metricspaces
#equivariantneuralnetwork #enns #convolutionalneuralnetwork #networkscience
#computationalchemistry #dft #pinns
#optimaltransport
#learningTheory #generalization
#expressivity
#marinescience #biodiversity #oceanscience
#phylogenetics
The cloak of invisibility against image recognition - Adversarial attacks are not something new to the world of Deep Networks used for image recognition... more: https://hackaday.com/2019/05/03/the-cloak-of-invisibility-against-image-recognition/ #convolutionalneuralnetwork #adversarialattacks #imagerecognition #computerhacks #neuralnetwork #deeplearning #science #cnn
HackadayThe Cloak Of Invisibility Against Image RecognitionAdversarial attacks are not something new to the world of Deep Networks used for image recognition. However, as the research with Deep Learning grows, more flaws are uncovered. The team at the Univ…