Artificial Intelligence | News | Insights | AiThority
[bsfp-cryptocurrency style=”widget-18″ align=”marquee” columns=”6″ coins=”selected” coins-count=”6″ coins-selected=”BTC,ETH,XRP,LTC,EOS,ADA,XLM,NEO,LTC,EOS,XEM,DASH,USDT,BNB,QTUM,XVG,ONT,ZEC,STEEM” currency=”USD” title=”Cryptocurrency Widget” show_title=”0″ icon=”” scheme=”light” bs-show-desktop=”1″ bs-show-tablet=”1″ bs-show-phone=”1″ custom-css-class=”” custom-id=”” css=”.vc_custom_1523079266073{margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”]

Mindtech Launches Transformative Upgrade to Training Data Analysis and Curation Platform

The new release of Dolphin gives deeper Vision AI dataset understanding, and is core to a datacentric approach to MLOps

Mindtech Announces Strategic Partnership With Appen

Mindtech has announced the immediate availability of the latest release of their Dolphin platform, which performs Training Data Analysis, Visualization and Curation of image datasets, targeting AI based computer vision.

Read this trending article: Role Of AI In Cybersecurity: Protecting Digital Assets From Cybercrime

The new release enables data scientists to get an improved understanding of their training datasets through custom network fit analysis and full annotation visualizations. It gives ML engineers a deep understanding of their training datasets through appearance and content analysis which is critical to enable more accurate and robust AI systems.

The new custom network fit analysis capability allows Data Scientists to specify a custom classification network such as Yolo and determine precisely how a specific image (whether real or synthetic) will be viewed by the network, when compared with other images in any analyzed dataset. Dolphin examines the internal embeddings of the network, that are usually hidden inside “the blackbox”, automatically identifies the most relevant of hundreds of values per image through Principal Component Analysis (PCA) and creates an easy to interpret, human readable 2D chart.

Related Posts
1 of 40,550

This analysis allows the engineers to rapidly understand dataset shortcomings, for example sparsity and diversity issues. These are important to identify and resolve to ensure network robustness when deployed in the real world. A second important area is Data-Drift. This is where the original training data becomes no longer relevant, or new training data is required due to changing real world conditions. Data-Drift can be identified without requiring labeling of new data.

Read More: Deloitte Collaborates with HPE and NVIDIA on Generative AI Solutions

The second key enhancement is the visualization of annotations from within the platform. This enables engineers to rapidly look at chosen images, such as outliers, and examine and verify the associated annotations Dolphin is fully containerized, allowing for easy install on premise or in the cloud, with easy user access from any supported browser. Dolphin is part of the Mindtech DataOps platform, and the actionable intelligence created by Dolphin can be used in Mindtech’s Synthetic Data Creation Platform, Chameleon, to enable the simple and rapid creation of synthetic data to improve training data coverage and therefore AI model performance.

Says Chris Longstaff, VP of Product Management at Mindtech “As we enter an era where AI based systems are under ever closer scrutiny due to societal and governmental pressure, an understanding of system robustness is more important than ever. With the introduction of legislation such as the EU AI Act and the Colorado Artificial Intelligence Act, the onus is on the technology providers to show that they have full data governance and transparency, Mindtech Dolphin platform can be a key part to meeting these requirements, helping to identify bias, diversity and sparsity of data”

Mindtech will be attending CVPR Expo in Seattle June 19th-21st , on stand 2039 where the platform will be demonstrated.

Security and AI Capabilities:  The Risks Threatening Employee Data in an AI-Driven World

[To share your insights with us as part of editorial or sponsored content, please write to]

Comments are closed.