Yo, fellow tech enthusiasts. Today, I would like to introduce ACARISv2, the second iteration of the Advanced Communication Augmentor and Relational Insights System, or ACARIS. It's a result of many sleepless nights, relentless self-education, and an unyielding resolve to understand human behavior, especially the intricacies of interpersonal communication and emotional
In the fast-paced world of machine learning, we're often faced with opportunities to harness technology for the betterment of human health. One such issue is poor posture, which is notably common among tech enthusiasts. We're focusing on this issue for our latest project. Imagine this -- an ML system, running
Realizing the CASIE vision from Deus Ex, ACARIS aims to revolutionize human-machine and human-human interactions and enhance online communication.
OngakkenAI ML License v1.0 dated July 6, 2023 This is the OngakkenAI ML License (the "License") that governs the use of machine learning models released by OngakkenAI ("Licensor"). By using the models ("Model"), you ("You") are agreeing to abide by the terms and conditions of this License. 1. Grant
Simtoon ML Model Protocol v1.0 dated July 6, 2023 This Simtoon Machine Learning Model Protocol (the “Protocol”) establishes guidelines for the responsible utilization of machine learning models, specifically image classifiers trained on human data and language models, as defined in the OngakkenAI ML License v1.0. Non-Discrimination: Image classifiers
We have recently wrapped up the initial phase of work on ACARIS, the Advanced Communication Augmentor and Relational Insights System, a project that aims to revolutionize the way people talk, while also giving machines the understanding they need to comprehend human emotions, intentions, and interest metrics in text-based communication. Our
Ongakken pivots from game dev to ML research. We're creating a personal life-tracking platform with a focus on privacy and open-source tech. We aim to empower communication with NLP, improving social interactions and enriching ML understanding.