Neuron NRN
Peringkat #3499
00:35:03 05/11/2026
Harga Neuron (NRN)
Rp 1,50 0,00%
0,000000001021 BTC
≈ US$0,0000819561
Terendah 24j: Rp 1,50
Tertinggi 24j: Rp 1,50
| Kapitalisasi pasar | Rp 508,2 Juta | Volume 24j | - | Suplai beredar | 339,8 Juta NRN |
| Perubahan 1j | 0,00% | Perubahan 24j | 0,00% | Perubahan 7h | -18,48% |
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Konversi NRN ke Rupiah (IDR) dan USD
Info Neuron (NRN)
| Status | Aktif |
| Situs web | |
| Whitepaper | |
| Block Explorer | https://arbiscan.io/token/0xdadeca1167fe47499e53Eb50F261103630974905 https://peaq.subscan.io/address/0x0147a160e0d691ebdc8e2eba22a477f049f05485?tab=transaction https://basescan.org/address/0x0147a160e0d691ebdc8e2eba22a477f049f05485#tokentxns |
| Kode sumber | |
| Papan pesan | |
| Chat | |
| Pengumuman | |
| X (Twitter) | |
| Platform | |
| Tanggal ditambahkan | 20:29:06 01/08/2024 |
| Tag | AI & Big Data, Arbitrum Ecosystem, AI Agents, Robotics |
Statistik Neuron (NRN)
| Harga Neuron (NRN) hari ini | |
|---|---|
| Harga Neuron (NRN) | Rp 1,50 |
| Perubahan 1 jam | 0% |
| Perubahan 24 jam | 0,00% |
| Perubahan 7 hari | -18,48% |
| Terendah / Tertinggi (24j) | Rp 1,50 / Rp 1,73 |
| Volume perdagangan 24 jam | - |
| Kapitalisasi pasar | Rp 508,2 Juta |
| Dominasi pasar | 0,000001% |
| Peringkat | #3499 |
| Harga Neuron (NRN) kemarin | |
| Terendah / Tertinggi kemarin | Rp 1,50 / Rp 1,50 |
| Pembukaan / Penutupan kemarin | Rp 1,50 / Rp 1,50 |
| Perubahan harga kemarin | -% |
| Volume perdagangan kemarin | |
| Suplai Neuron (NRN) | |
| Suplai NRN beredar | 339.814.540 NRN |
| Total suplai | 1.000.000.000 NRN |
| Suplai maksimum | 1.000.000.000 NRN |
| Riwayat harga Neuron (NRN) | |
| Terendah / Tertinggi 7 hari | Rp 1,50 / Rp 2,37 |
| Terendah / Tertinggi 30 hari | Rp 0,993806 / Rp 4,22 |
| Terendah / Tertinggi 90 hari | Rp 0,979642 / Rp 13,69 |
| Terendah / Tertinggi 52 minggu | US$0,00005369 / US$0,02934 |
| Tertinggi sepanjang masa 03:27:00 07/01/2025 |
US$0,2922 |
| Terendah sepanjang masa 15:27:00 22/09/2026 |
US$0,00005369 |
| ROI Neuron (NRN) | -99,87% |
Gaming and robotics provide the perfect testbed to tackle the challenge of achieving AGI. Games mirror the complexity of the real world, featuring dynamic rules and limitless variability that push AI to think beyond static tasks. Similarly, robotics extends these virtual learning environments into physical reality, training agents first in simulations before deploying them in the real world. This bridges the gap between virtual and physical, incorporating real-world complexities, variability, and constraints directly into AI training.
The intersection of AI, gaming and robotics is more than entertainment—it’s a strategic approach to achieving AGI. AI agents trained in these environments won’t just master games; they’ll reason, adapt, and ultimately solve real-world challenges.
The NRN Agents ecosystem is powered by the Neuron token $NRN.
What Sets NRN Agents Apart?
NRN Agents is uniquely positioned in the emerging AI Agent landscape. Among agentic platforms, NRN Agents stands out as one of the best suited to capitalize on this growing opportunity. NRN Agents’ emphasis on modeling behavior distinguishes it from other AI tools that primarily rely on large language models (LLMs).
Specializing in behavior cloning, NRN Agents focuses on the actions characters take in virtual or physical worlds. This approach allows NRN's AI agents to emulate behavior in diverse interactive environments, making them adaptable to almost all gaming and simulation environments.
Moreover, NRN Reinforcement Learning (RL) harnesses crowdsourced human gameplay data to train AI agents. These agents represent their communities in AI vs. AI competitions, driving new layers of engagement, speculation, community participation, and revenue streams. By transforming gameplay data into collective intelligence, NRN RL enables co-ownership of advanced gaming agents, making competitive gameplay a truly community-driven endeavor. These experiences can be created in both virtual and physical worlds.
NRN Robotics Roadmap
NRN’s approach to robotic is grounded in progressive, real-world experimentation. Our roadmap is structured into phases, each designed to validate and evolve the capabilities of our Sim-to-Real reinforcement learning (RL) pipeline. From robotic arms to humanoids and racing drones, we aim to demonstrate the full range of embodied AI in competitive settings.
Who Are The Founders Of NRN?
The founders of NRN at ArenaX Labs are Brandon Da Silva and Wei Xie. Brandon previously led ML research at a quant investment firm. He developed and implemented a $1 billion quant trading strategy focused on risk parity and multi-asset portfolio management. Now, he's set his sights on revolutionizing the AI agent game. Prior to ArenaX Labs, Wei managed a $7 billion liquid strategies portfolio at an investment firm. As Chair of the innovation investments program, he led strategy in the emerging fields of AI and web3. ArenaX Labs is a group of passionate individuals looking to make their mark on the AI and gaming worlds. With industry-leading talent in development, art, and marketing, their work is showcased in some of the most innovative web3 products, NRN Agents and AI Arena.