12 Questions to Ask Yourself When Your Machine Learning Model is Underperforming
According to our Head of Research, Kamil Szelag, PhD, data scientists often spend 80% of their time preparing and refining datasets, and only 20% on model development and tuning. Below is a practical, technical checklist designed to help you debug underperforming models and realign development efforts more effectively.
What is StyleGAN-T?
StyleGAN-T is a text-to-image generation model based on the architecture of the Generative Adversarial Network (GAN). GAN models were obsolete with the arrival of diffusion models into the picture generation space until StyleGAN-T was released in January 2023.
What is EfficientNet?
First introduced in 2019 by a team of Google AI researchers, quickly became a go-to architecture for many difficult tasks
Unlocking Accurate Warehousing And Inventorying Solutions With AI Training In The Metaverse And Synthetically Generated Data
In this article, you will discover how SKY ENGINE AI’s platform with synthetic data generation tools and AI models training in virtual environment enable designing of computer vision systems for warehousing whereas mitigating bottlenecks and issues with inventorying accuracy.
Advancing AI Sports Analytics Through Combined Power of a Synthetic Data-Driven SKY ENGINE AI Platform and NVIDIA RTX
Developing AI solutions for sports analytics is challenging, but advanced AI algorithms can analyze detailed behavioral patterns in team-based sports, providing coaches with insights that are difficult to observe manually.
What is Synthetic Data?
Synthetic data is one of the most useful data-driven AI approaches