Os traigo una joya foreros de bien, pues este foro me a dado muchas alegrías.
$Aioz, competidor de $theta, le veo más potencial que a esta última. Compren siempre lo que estén dispuesto a perder.
Con tiempo ya os explicaré más sobre este token, tenéis mucha info en internet.
La listan el 2 de abril a las 1PM UTC en Pancakeswap, BSCPad (Desde binance muy pocas fees), Uniswap e Ignition:
Public Sale Token Price: 0.015 BUSD
Allocation Round Open: Thursday, April 1 4PM UTC
Public Sale (FCFS) Round Open: Friday, April 2 1PM UTC
Pancakeswap Listing Date/Time: Friday, April 2 (Time TBD)
Maximum Token Supply (across all chains): 1,000,000,000 $AIOZ
Circulating Supply at Listing (BEP20 + ERC20): 40,250,000 $AIOZ
Market Capitalization at Listing (BEP20 + ERC20): $603,750 USD
BEP20 Tokens Available through BSCPAD: 6,666,666.67 $AIOZ
Public Sale Vesting Schedule: Fully unlocked at TGE
*AIOZ is a dual launch on BSC and Ethereum
About AIOZ:
AIOZ is a Blockchain-based Content Delivery Network that is about to bring a revolution to the digital media entertainment industry.
AIOZ utilizes Blockchain to improve content distribution through decentralisation. A distributed Content Delivery Network (dCDN) uses p2p edge Nodes for storing, streaming, and transferring data instead of traditional data centers operating on a P2P model.
AIOZ uses a faster, cheaper, and more robust platform for content streaming making it affordable, infinitely scalable, and of better quality.
By using this revolutionary technology, AIOZ can efficiently change the way the world streams content. Thus taking the world one step closer to the future.
The AIOZ Research Team have written several notable whitepapers and research documents which include:
“
Autonomous Navigation with Mobile Robots using Deep Learning and the Robot Operating System”, ROSBook 2021. [
paper] [
github]
“Top-k Self-Assessment Regularizer for Fine-Grained Visual Classification”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021). [
paper].
“Light-weight Deformable Registration usingAdversarial Learning with Distilling Knowledge”, IEEE Transactions on Medical Imaging, 2021. [
paper].
“Leveraging Meta-annotation for Meta-learning in Medical Visual Question Answering”, The 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2021. [
paper].
And Many Others!
For recent updates and progress about AIOZ, hop in at:
Homepage | Medium | Twitter | Telegram | E-mail
Why We Chose AIOZ:
Streaming content is one of the largest markets on the planet which is still growing rapidly year over year. In addition, several of the shortcomings of popular platforms like Youtube are a result of centralization. Censorship, demonetization and the unfair distribution of revenue are all serious problems that can be addressed by blockchain technology.
As an established project with usable products already running (check out
AIOZ Tube), this collaboration was an easy choice for us. We are looking forward to bringing our massive community and marketing expertise to the table to bring the awareness of the AIOZ platform to the next level.
BSCPad
bscpad.com
