Estimating the outcome of a military conflict using Bayesian inferenceIn today’s rapidly evolving defence landscape, the ability to assess and anticipate the outcome of military conflicts is more crucial than…5d ago5d ago
Training a large language model in ancient Greece. Would it be possible ?A feasibility studyJun 29Jun 29
Published inTowards AIAI Waterfall: How to spend less money on LLMs using tiered intelligenceLet’s face it. Gen AI and LLMs have changed forever the way we develop software and write code.May 26May 26
5 ways I use ChatGPT in my daily workflow as a software developerSince late 2022, ChatGPT has gradually entered many aspects of our daily lives, automated or simplified processes and enhanced…Nov 16, 2023Nov 16, 2023
Published inTowards AICreating a Fall Detection Model Using Unsupervised LearningUsing data from smartphone sensorsOct 5, 2023Oct 5, 2023
Navigating Data and Context: A Reflection on Interpretive ChallengesIn the digital age, where data flows ceaselessly and information shapes our decisions, the dynamic relationship between data and context…Aug 17, 2023Aug 17, 2023
Greek elections, neural nets and the “Echo chamber” effectWhy recommendation algorithms trained on biased date lead to biased recommendationsMay 28, 2023May 28, 2023
AI Generated beer? Everything is possible with Generative Adversarial NetworksGenerating beer recipes using Generative AI modelsApr 19, 2023Apr 19, 2023
Short-term precipitation forecasting using Convolutional LSTM neural networksPredicting the weather from radar data using deep learningDec 19, 2022Dec 19, 2022