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Protecting Your Data with Coretex Encryption

Discover how Coretex encryption ensures your data stays secure with User-owned AI, durable encryption techniques, and state-of-the-art algorithms. Learn to set up Master keys, create encrypted projects, and safeguard sensitive data with ease.

Top MLOps and AI Conferences to Attend in 2024

Discover the top MLOps conferences to attend in late 2024! Stay updated with the latest trends, meet industry leaders, and gain insights into AI, ML, and data science. Learn about key events like ODSC Europe, The AI Conference, ECCV, and more. Dive into our detailed overview now!

5 Must-Try MLOps Platforms in 2024

MLOps is a rapidly growing field crucial for the successful deployment and maintenance of machine learning models at scale. Key platforms to explore in 2024 include Qwak, ModelBit, Prefect, DagsHub, and Coretex, each offering unique features to streamline workflows, intensify collaboration, and ensure data security. Effective MLOps tools are scalable, cost-effective, and intuitive, facilitating efficient model serving, experiment tracking, and strong data protection.

Running YOLOv10 in Coretex

YOLOv10, the latest iteration in the YOLO series, offers faster inference times, lower latency, fewer parameters, and improved accuracy compared to previous versions. Implementing YOLOv10 in Coretex involved updating the existing YOLOv8 task, implementing logic for downloading weights, using a script to convert a Kaggle car detection dataset to Coretex annotation format, as well as orchestrating the training on Coretex.

Boosting Bioinformatics Productivity with Coretex: QIIME2 Use Case

Machine learning techniques have transformed the field of bioinformatics. The integration of Coretex and Qiime2 represents a world of exciting possibilities recognized by the Institute of Forensics in Zurich. The built in features of Coretex, such as sample quality data visualization of FASTQ files, parameter optimization, and data encryption, are showcased.

A Comparison of MLOps Platforms: Coretex and ClearML

MLOps platforms play a central role in streamlining and optimizing the machine learning workflow by serving as a sophisticated interface between the user and the ML process. Therefore, they allow their users to spend more time on high-level tasks, abstracting most of the low-level engineering into more manageable tools and configurations.

1st prize for Coretex Cloud idea on Nearcon 2023!

Director of R&D at Coretex LLC, Igor Peric, wins three coding hackathons in November 2023, securing international validation of the idea behind Coretex. Insights will help the company make more informed strategic decisions and explore potential partnership with Near.

Dataset Management in Coretex

Proper dataset management is crucial for effective model training. Coretex offers robust tools allowing you to manage your data easily and iterate swiftly. Model lineages and data manipulation for professional ML practitioners.

Sport Analytics - How Coretex Transformed Golf Training

The partnership between BioMech Putt and Coretex provides golfers with invaluable insights into their putting strokes. The real-time data processed by Coretex helps golfers understand their stroke dynamics, identify inconsistencies, and work towards building a more consistent and fundamentally sound putting stroke.