The AIWORK project recently announced the completion of the alpha testing phase of its AI client node. Through a series of photos, the platform pushed the limits of machine learning, providing proof of enhanced capabilities for the entire field. The AIWORK Project AIWORK provides crypto users with a consensus network of artificial intelligence, a community of human experts, and computer resources, all geared towards generating normalized and enhanced metadata for video content. AIWORK is a blockchain network that facilitates a marketplace of crowd-sourced AI and human experts to create, verify, and validate AI datasets. This model ensures proper machine learning so AI’s accurately improve as they work. The platform’s unique approach of merging artificial intelligence
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The AIWORK project recently announced the completion of the alpha testing phase of its AI client node. Through a series of photos, the platform pushed the limits of machine learning, providing proof of enhanced capabilities for the entire field.
The AIWORK Project
AIWORK provides crypto users with a consensus network of artificial intelligence, a community of human experts, and computer resources, all geared towards generating normalized and enhanced metadata for video content. AIWORK is a blockchain network that facilitates a marketplace of crowd-sourced AI and human experts to create, verify, and validate AI datasets. This model ensures proper machine learning so AI’s accurately improve as they work.
The platform’s unique approach of merging artificial intelligence with a human expert network advances the machine learning capabilities. This helps improve the performance of the project’s AI systems even as the platform continues to generate normalized and enhanced metadata for video content.
The network of human experts served a central role during the alpha testing phase as they provided an optimal approach to attaining AI computer vision at a heightened accuracy and scale than previously possible.
AIWORK’s Successful Alpha Testing Phase
Alpha tests are key to revealing whether a project is on the right track or doomed to fail. AIWORK passed this test impeccably. To put it simply, alpha testing is the first end-to-end testing of a product to ensure it meets the business requirements and functions correctly. This is done internally in a lab setting for artificial intelligence-oriented projects. AIWORK’s alpha test revealed that their product works and does everything it is supposed to.
The images below help to paint a clearer picture of how their Object Detection Machine Learning Model worked perfectly on both GPU and CPU machines.
The AIWORK project went beyond traditional AI alpha testing by incorporating the state-of-the-art YOLOV5 (You Only Look Once) into its AI infrastructure. This is a family of object detection architectures and models which have been pre-trained on the COCO dataset (80 classes of objects).
The success of the alpha testing stage reveals that the example given in their whitepaper about ‘The Big Bang Theory’ is now no longer merely an idea, but a reality. This test revealed that AI machinery can remember certain attributes within a dataset; therefore, it is possible to pinpoint the precise instance when Kaley Cuoco appeared on the show, as the example suggested.
The success of the alpha testing stage reveals that the example given in their whitepaper about ‘The Big Bang Theory’ is now no longer merely an idea, but a reality. This test revealed that AI machinery can remember certain attributes within a dataset; therefore, it is possible to pinpoint the precise instance when Kaley Cuoco appeared on the show, as the example suggested.
What Lies Ahead for the AIWORK Project?
It goes without saying that everyone is enthusiastic when a project delivers on its promises, especially when those promises change the underlying landscape of the entire field. The AIWORK online community has been keenly following the project. Now, they are awaiting the integration of this milestone into the main AIWORK platform.
The project can now work on opening their blockchain protocol and ecosystem to third parties, such as advertisers, content distributors, and publishers. Their Proof of Intelligence (POI) blockchain protocol will rely on smart contracts between service providers, content owners, advertisers, and distributors to create a platform that serves all parties in video content creation and publishing.
Now that the alpha test is finalized, the project’s smart contracts will maximize utility, ensuring tasks are assigned to the most productive service providers, streamlining workflow for users. With this in the pipeline, AIWORK plans to introduce an incentives feature built into the protocol that will promote better quality output from the service providers.
Remarks
AIWORK overcame multiple hurdles to reveal that an open search engine with smarter indexing for videos is possible. They not only delivered on that, though, as the AIWORK platform also has unique features that underpin the ideals of crypto, such as decentralization and community-maintenance. The successful alpha test confirmed this. AIWORK’s users will benefit from the option of an open and decentralized video network and search engine that counters the centralization and control of its predecessors, such as YouTube.
Now individuals and entities alike can look forward to relying on the open-source blockchain protocol when creating brands and content.