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Items tagged with: machinelearning
1-bit LLM variant matches the full-precision (i.e., FP16 or BF16) Transformer LLM with the same model size and training tokens in terms of both perplexity and end-task performance, while being significantly more cost-effective in terms of latency, memory, throughput, and energy consumption.
https://arxiv.org/abs/2402.17764
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Recent research, such as BitNet, is paving the way for a new era of 1-bit Large Language Models (LLMs). In this work, we introduce a 1-bit LLM variant, namely BitNet b1.58, in which every single parameter (or weight) of the LLM is ternary {-1, 0, 1}.arXiv.org
Neuroscience for machine learners
A freely available short course on neuroscience for people with a machine learning background. Designed by Dan Goodman and Marcus Ghosh.Neuroscience for machine learners
Gli strumenti sono in origine neutri, sta a noi usarli per il bene.
E respingerne gli usi malvagi
#cancro #medicina #cure #salute #ai #machinelearning
https://www.futuroprossimo.it/2023/10/la-scienza-incontra-la-speranza-una-ai-calcola-la-sopravvivenza-al-cancro/
La scienza incontra la speranza: una AI calcola la sopravvivenza al cancro
Un nuovo strumento basato sull'intelligenza artificiale mira a migliorare le stime (e la speranza) di sopravvivenza dei pazienti oncologici.Gianluca Riccio (FuturoProssimo)
-updated tool for downloading #NASA Harmonized #Landsat and #Sentinel-2 images, as well as #Copernicus Sentinel-2 images.
-unified interface for preprocessing #remotesensing images
-updated classification tool including #machinelearning algorithms: Multi-Layer Perceptron, Support Vector Machine, and Random Forest through #scikitlearn and #PyTorch
https://fromgistors.blogspot.com/2023/09/road-to-semi-automatic-classification-images-classification.html
Road to the Semi-Automatic Classification Plugin v.8: Landsat and Sentinel-2 images download and preprocessing, classification
A blog that goes from GIS to Remote Sensing, tutorials for open source software, Land Cover, and the Semi-Automatic Classification Plugin for QGIS.fromgistors.blogspot.com
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https://doi.org/10.3390/rs14184484 <-- shared paper
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#GIS #spatial #mapping #satellitederivedbathymetry #SDB #nauticalcharting #machinelearning #IHOstandards #GEBCO #Seabed2030 #radiativetransferequation #RTE #remotesensing #satellite #model #modeling #hydrography #hydrospatial #marine #charts #navigation #nautical #gischat #bathymetry #topobathy #automation #ESA
A New Approach to Satellite-Derived Bathymetry: An Exercise in Seabed 2030 Coastal Surveys
ARGANS has years of experience in analysing the factors limiting light transmission in coastal environments around the world.MDPI
This new version will improve the capabilities of Semi-Automatic Classification Plugin, based on a completely new #python processing framework that is Remotior Sensus, developed for image classification such as #landsat #sentinel2 , #machinelearning and #gis spatial analyses.
https://fromgistors.blogspot.com/2023/07/Semi-AutomaticClassificationPluginReleaseDate.html
Semi-Automatic Classification Plugin v.8 Release Date
A blog that goes from GIS to Remote Sensing, tutorials for open source software, Land Cover, and the Semi-Automatic Classification Plugin for QGIS.fromgistors.blogspot.com
Look no further than #pgvector
https://github.com/pgvector/pgvector
Allows you to store and index vectors as well as do vector math and distance calculations - all in THE BEST database in the universe.
Hat tip to this blog post for bringing it to my attention
https://www.crunchydata.com/blog/whats-postgres-got-to-do-with-ai
#sql #isThereAnythingPostgresCantDo
GitHub - pgvector/pgvector: Open-source vector similarity search for Postgres
Open-source vector similarity search for Postgres. Contribute to pgvector/pgvector development by creating an account on GitHub.GitHub
🎙️Alexandru-Adrian Tantar is working on ways to verify #AI models so they can be trustful. Listen to him in our latest #SciLux podcast ➡️https://www.researchluxembourg.org/en/scilux-podcast-alexandru-adrian-tantar-ai-group-leader/
#ResearchLuxembourg #ChatGPT #LLM #deeplearning #MachineLearning
SciLux podcast - Alexandru-Adrian Tantar, AI group leader - researchluxembourg
ChatGPT, large language models (LLMs), AI-based systems, deep learning, etc.: AI technologies introduce opportunities and challenges at the same time. Alexandru-Adrian Tantar is working on ways to verify AI models so they can be trustful.Hélène Jacuszin (researchluxembourg)
