What is Knowledge Distillation?
Deep neural networks have grown in popularity for a variety of applications ranging from recognising items in images using object detection models to creating language using GPT models. Deep learning models, on the other hand, are frequently huge and computationally costly, making them challenging to deploy on resource-constrained devices like mobile phones or embedded systems. Knowledge distillation solves this issue by condensing a huge, complicated neural network into a smaller, simpler one while retaining its performance.
The Virtuous Cycle of Synthetic Data in AI-powered Products
The virtuous cycle of data needs to be expanded by new modalities including synthetic data to further enhance product development and customers willingness to share more data.
Adaptive Construction Intelligence with Deep Learning in the Metaverse Using SKY ENGINE AI Platform to Improve On-site Predictive Analytics
The SKY ENGINE AI Platform facilitates development of computer vision and AI models for construction site safety monitoring, inspection, and predictive analytics to optimize operations and prevent incidents.
A Comprehensive Strategy For Computer Vision By Combining Data-Centric And Model-Based Approaches With High Quality Synthetic Datasets
In this article, you'll discover how to think about your machine learning models from a data-centric standpoint, stressing the relevance and value of data in the AI models creation process.
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
Accelerating Model Development and AI Training with Synthetic Data, SKY ENGINE AI Platform for 5G RAN
One way to bridge the data gap and accelerate model training is by using synthetic data instead of real data for training. SKY ENGINE AI provides a platform to move deep learning to virtual reality. It is possible to generate synthetic data using simulations where the synthetic images come with the annotation that can be used directly in training AI models.