MLSpec builds upon the ideas and concepts from the foundational work in the field of ML workflow specification and verification. Some notable contributions include: Predictive Model Markup Language (PMML) Portable Format for Analytics (PFA)
Strategies to Increase Efficiency and Reduce Carbon Footprint of Large Models (Committee area of interest) Infrastructure for Loading Models On-demand Based on Specific Use Case Requirements (Committee area of interest) Engineering Perspectives on Infra Costs for Projects like ChatGPT (Committee area...
Initial thesis title: Ogólny model sztucznej inteligencji na podstawie nieszablonowych zastosowań uczenia maszynowego Modeling artificial intelligence based upon unconventional machine learning applications Ideas for projects: Solving monopoly with RL Sorting an array with ML ADA sort paper, So called "...
TensorFlow is Google’s open-source deep-learning platform to build Computer Vision-based models to run in small, lower-powered edge CPUs as well as cloud-based GPUs. Rasa is our go-to platform for building Conversational AI applications. Our Enterprise Communication Framework uses the Rasa platfo...
This stage provides the most well-performing and fastest reliable ML model deployments in which you require a robust automated CI/CD system. With this CI/CD system put in place, it allows your data scientists and other tech experts to dig deeper to explore new ideas around feature engineering...
In this section, we will give example models based on our current data requirement analysis in the three ways we mentioned. Our DigiPhenoMS [27] project is a collaborative endeavor between the MS Center at the University Hospital Carl Gustav Carus Dresden and the Digital Health research group. ...
If workers in the smart factory provide the ground truth for radiator faults at around 20%, the proposed ML-based radiator fault detection model can predict radiator faults with an accuracy of around 93.0%. As a future research project, the other fault components affecting energy waste in smart...
Building a fully automatic, self-healing system may have diminishing returns based on your use-case, but machine learning should be thought of as a continuous process and as such, retraining a model should be as close to effortless as possible. MLOps encourages testing and monitoring Testing ...
We here as a MLM Software Development Company - MLMYug try to incorporate new ideas and add-ons to serve your MLM business. The integration helps in drawing popularity Mobile / DTH Recharge Bill Payment Flight/Bus Booking Money Transfer ...
So this project idea is basically based on getting precise summary out of Sports match videos. There are sports websites that tell about highlights of the match. Various models have been proposed for the task of extractive text summarization but neural networks do the best job. As a rule, Su...