Convert SingularityNET AGIX to D-Wave Quantum Tokenized Stock (Ondo) QBTSON
AGIX to QBTSON: 1 SingularityNET converts to 0.005919 QBTSON
About AGIX and QBTSON
SingularityNET is falling, while D-Wave Quantum Tokenized Stock (Ondo) is climbing this week. The current AGIX to QBTSON conversion rate is 0.005919. Inversely, this means that if you convert 1 QBTSON you will get 168.95 AGIX. The conversion rate of AGIX/QBTSON has increased by 0.48% in the last hour (QBTSON/AGIX decreased by 0.48%). In the last 24 hours, AGIX/QBTSON shrunk by 558.45%, while QBTSON/AGIX grew by the same amount.
The exchange rate of SingularityNET is decreasing. The current value of 1 AGIX is 0.005919 QBTSON. In other words, to buy 5 SingularityNET, it would cost you 0.029594 QBTSON. Inversely, 1 QBTSON would allow you to trade for 168.95 AGIX while 50 QBTSON would convert to 8,447.73 AGIX, not including platform or gas fees.
In the last 7 days, the exchange rate has increased by 11%. Meanwhile, in the last 24 hours, the rate has changed by 559.06%, which means that the highest exchange rate of 1 AGIX to QBTSON was 0.03986 QBTSON and the lowest 24 hour value was 1 AGIX for 0.005664 QBTSON. Last month, 1 AGIX was worth 0.004477 QBTSON. Today, it's up 24.36%. Looking back a year, SingularityNET has changed by 0.006964 QBTSON. That means that in a single year, the value of SingularityNET has shrank by 17.66%.
SingularityNET Market Stats
SingularityNET is a decentralized marketplace for Artificial Intelligence (AI). The business value of AI is becoming clearer each day; however, there’s a significant gap between the people developing AI tools (researchers and academics) and the businesses that want to use them. Most organizations need a more customized solution than what a single AI project can offer, and research projects oftentimes have trouble accessing a large enough data set to build effective machine learning. SingularityNET closes these gaps. The long-term vision of the SingulairtyNET team is to build a network of complex AI Agent interactions primarily using resources from the OpenCog Foundation. To look at this further, let’s check out their in-house built humanoid robot, Sophia. Sophia uses a combination of AI Agents that range from natural language processing to physical motor controls to operate. You tell Sophia to summarize a video that’s embedded in a webpage. To do this, Sophia sends a request to Agent A. Through its AI, Agent A knows that Agent B specializes in analyzing and transcribing video while Agent C specializes in summarizing text. Agent A pays Agent B and Agent C to perform these tasks while Sophia pays Agent A to coordinate. All the while, each Agent has updated their own AI with the network information gained from these tasks and combines it with their previous experiences and knowledge. Therefore, the collective AI of the system grows at a faster rate than any individual Agent. SingularityNET wants to build a decentralized protocol for creators and users of AI to interact with each other, to not only help individual projects benefit by leveraging the strengths of other AI systems that might handle certain tasks better, but ultimately to develop SingularityNET into a functioning AI system itself, with nodes on the network making their own decisions about how to connect services and proactively provide solutions to academic and business problems. Tokenizing the network creates an AI marketplace where AI developers and sellers can not only link with others who might assist in building more robust AI solutions, but also allow AI services and products to be bought and sold, creating revenue and establishing price points where none have existed before. The SingularityNET team boasts 50+ AI developers and 10+ PhDs. Dr. Ben Goertzel leads the group as CEO and Chief Scientist. He’s also the Chairman of the OpenCog Foundation and the Artificial General Intelligence Society, as well as the Chief Scientist at Hanson Robotics, the partner company helping bring SingularityNET to life. Dr. David Hanson, founder of Hanson Robotics, serves as the Robotics Lead. Most famously, Hanson Robotics built Sophia, the most expressive humanoid robot to date. Sophia is also a proud member of the SingularityNET team. The team recently released the alpha version of the platform and is planning on launching a public beta sometime in the middle of 2018.
D-Wave Quantum Tokenized Stock (Ondo) Market Stats
QBTSon is the Ondo Tokenized version of D-Wave Quantum, giving tokenholders economic exposure similar to holding QBTS and reinvesting any dividends. Ondo tokenized stocks enable non-US retail and institutional users around the world to instantly mint and redeem tokenized U.S. stocks and ETFs, 24 hours a day, five days a week with full access to traditional exchange liquidity. Additional restrictions apply. Learn more at ondo.finance/global-markets.
Conversion tables
AGIX to QBTSON values from Today at 6:22 pm
0.5 AGIX = 0.002959 QBTSON |
1 AGIX = 0.005919 QBTSON |
5 AGIX = 0.02959 QBTSON |
10 AGIX = 0.05919 QBTSON |
50 AGIX = 0.2959 QBTSON |
100 AGIX = 0.5919 QBTSON |
500 AGIX = 2.96 QBTSON |
1,000 AGIX = 5.92 QBTSON |
QBTSON to AGIX values from Today at 6:22 pm
0.5 QBTSON = 84.48 AGIX |
1 QBTSON = 168.95 AGIX |
5 QBTSON = 844.77 AGIX |
10 QBTSON = 1,689.55 AGIX |
50 QBTSON = 8,447.73 AGIX |
100 QBTSON = 16,895.47 AGIX |
500 QBTSON = 84,477.33 AGIX |
1,000 QBTSON = 168,954.66 AGIX |
AGIX to QBTSON over time
AGIX | Today | 24H -559.06% | 1M 24.36% | 1Y -17.66% |
|---|---|---|---|---|
0.5 AGIX | 0.002959 QBTSON | 0.0195 QBTSON | 0.002238 QBTSON | 0.003482 QBTSON |
1 AGIX | 0.005919 QBTSON | 0.03901 QBTSON | 0.004477 QBTSON | 0.006964 QBTSON |
5 AGIX | 0.02959 QBTSON | 0.195 QBTSON | 0.02238 QBTSON | 0.03482 QBTSON |
10 AGIX | 0.05919 QBTSON | 0.3901 QBTSON | 0.04477 QBTSON | 0.06964 QBTSON |
50 AGIX | 0.2959 QBTSON | 1.95 QBTSON | 0.2238 QBTSON | 0.3482 QBTSON |
100 AGIX | 0.5919 QBTSON | 3.90 QBTSON | 0.4477 QBTSON | 0.6964 QBTSON |
500 AGIX | 2.96 QBTSON | 19.50 QBTSON | 2.24 QBTSON | 3.48 QBTSON |
1,000 AGIX | 5.92 QBTSON | 39.01 QBTSON | 4.48 QBTSON | 6.96 QBTSON |
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