$AIOZ still on uptrend though test to 0.382 fib test is incoming. Still a good performance despite BTC's pullback the last couple of days. @AIOZNetwork#aioz#AI
Just like I predicted, $AIOZ holds support as highlighted with the price channel followed by a strong bullish breakout as predicted.
#AIOZ is now bullish! π
The future of AI is being built right in front of us at a rapid speed - W3AI represents a cornerstone for web3 AI innovation.
The foundation of AIOZ W3AI lies in its robust, vast network of distributed human-powered #DePIN worldwide. π
More about DePIN AI on @AIOZNetworkπ
AIOZ DePIN contributes computing resources, including storage, CPU, and GPU power, to form a decentralized powerhouse.
These resources are utilized to offer a suite of functionalities valuable to AI app developers:
- AIOZ W3AI Model Training
- AIOZ W3AI Model Inference
- AIOZ W3S (Web3 Storage) Infrastructure
This approach unlocks several advantages.
Unmatched Scalability for AI dApps:
AI Tasks are no longer bottlenecked by centralized servers. The distributed nature of AIOZ DePIN ensures efficient processing and high availability, even for demanding workloads. β«
Enhanced Security and Privacy for training models and datasets:
Data is never stored in a single location, minimizing risks associated with centralized breaches. π
Everything web3 AI developers need to create, test, deploy, share and monetize their AI models and applications is just a click away with the upcoming release of W3AI.
Are you as excited as we are about the future of web3 AI? π
$AIOZ
Take a look at our Explainer Video where we cover how Cross Polarization enhances our Facescannerβs final results β¬οΈ
Now you will get a better understanding on how we reached the latest step up in quality, as we push to provide our users with highest quality scans possible π₯
The Ethereum Dencun upgrade goes live today.
The upgrade is expected to initiate around 13:55 UTC (9:55 am ET).
It aims to reduce transaction costs on Ethereum L2s significantly.
This will be a game-changer!
Nakamoto Games has partnered with @AIOZNetwork and is excited for what the future holds. $NAKA integrates $AIOZ for our #DePIN#Web3 Storage solution. Next, #AIOZ is going to launch their #W3IPFS, and we're looking forward to strengthen our partnership further. #BUIDL
File sharing is central to the internet and represents an industry set to grow to $18B by 2030.
Today we unveil AIOZ dTransfer, a file sharing showcase dApp that exemplifies the ease and efficiency of utilizing AIOZ W3S #DePIN storage infrastructure!
Features and details ππ»
dTransfer has been expertly developed using the W3S Infrastructure (Web3 Object Storage with S3 compatibility) within the AIOZ Network.
With increasing concerns over security, privacy, and cost-efficiency in web2 file sharing, dTransfer harnesses the power of @AIOZNetwork and W3S to offer a more secure, cost-effective, and faster file delivery solution.
- Pay-as-you-go model
- Public File Sharing
- Rapid upload and download speeds
AIOZ dTransfer integrates storage services through the AWS S3 SDK, facilitating a seamless and straightforward integration process with just a few lines of code.
Share files via dTransfer today!
https://t.co/ajR3s9Kf2P
With the four robust DePIN infrastructure products of the @AIOZNetwork, a wide range of useful dApps can be easily developed and powered, showcasing the network's versatility and potential in the evolving landscape of Web3 innovation.
$AIOZ
Decentralized Federated Learning within the W3AI Ecosystem π
Decentralized Federated Learning (DFL) optimizes and secures the transmission of AI models during the learning process, enhancing privacy and security.
How does this apply to W3AI? ππ»
W3AI leverages both decentralized federated learning and privacy-preserving techniques, such as Homomorphic Encryption (HE), to train and improve web3 AI models in a collaborative manner.
All inputs are treated as a sample input set, extracted as features, and processed through an AI engine to produce confidence scores for each candidate, which are then used to generate a multigraph containing topologies for subsequent communication rounds.
Using built-in homomorphic encryption capabilities, data, and model containers are securely encrypted locally on the user's AIOZ #DePIN. A local switching key is created for decryption purposes.
The W3AI Manager then leverages network topology to assign encrypted data and containers to suitable storage and computing AIOZ DePINs.
During training, storage AIOZ DePIN provide data to computing AIOZ DePIN for task execution.
The W3AI Manager monitors AIOZ DePIN performance and distributes rewards based on their contribution in each communication round.
W3AI employs a decentralized periodic averaging stochastic gradient descent (DPASGD), which updates the weight of each computing AIOZ DePIN in each training round.
AIOZ W3AI Computing workflow represents an intricately crafted system created with precision to tackle the urgent issues related to maintaining privacy in AI computations.
This innovative system enables the collaborative training of AI models across AIOZ #DePIN while preserving data privacy and security, fostering a continuous cycle of web3 AI advancement.
The W3AI Task Manager integrates atop the AIOZ network's DePIN to handle task assignments for computing, utilizing generated topologies encoded in a multigraph.
This topology assesses the computing devices' capabilities to dispatch tasks and can disconnect or reconnect connections, ensuring optimal process speed or readiness of computed results, if necessary.
Our research on this technology has been conducted, and our findings were published at the prestigious ICCV 2023 conference, which you can find here:
https://t.co/iJU3qou0J7
Are you ready for the future of web3 AI?
$AIOZ