hmc-lab.com valuation and analysis
Robots.txt Information
| Robot | Path | Permission |
| GoogleBot | / | ✔ |
| BingBot | / | ✔ |
| BaiduSpider | / | ✔ |
| YandexBot | / | ✔ |
Meta Tags
| Title | Human and Machine Cognition |
| Description | Toggle navigation HMC-lab home people publications resources Human and Machine Cognition Lab --> Human and Machine Cognition Lab What makes humans so u |
| Keywords | N/A |
Server Information
| WebSite | |
| Host IP | 185.199.109.153 |
| Location | - |
Related Websites
| Site | Rank |
More to Explore
hmc-lab.com Valuation
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US$1,737
Last updated: 2023-05-20 06:33:12
hmc-lab.com has Semrush global rank of 0. hmc-lab.com has an estimated worth of US$ 1,737, based on its estimated Ads revenue. hmc-lab.com receives approximately 200 unique visitors each day. Its web server is located in -, with IP address 185.199.109.153. According to SiteAdvisor, hmc-lab.com is safe to visit. |
Traffic & Worth Estimates
| Purchase/Sale Value | US$1,737 |
| Daily Ads Revenue | US$1 |
| Monthly Ads Revenue | US$48 |
| Yearly Ads Revenue | US$577 |
| Daily Unique Visitors | 13 |
| Note: All traffic and earnings values are estimates. | |
DNS Records
| Host | Type | TTL | Data |
| hmc-lab.com. | A | 599 | IP: 185.199.109.153 |
| hmc-lab.com. | A | 599 | IP: 185.199.108.153 |
| hmc-lab.com. | A | 599 | IP: 185.199.111.153 |
| hmc-lab.com. | A | 599 | IP: 185.199.110.153 |
| hmc-lab.com. | NS | 3600 | NS Record: ns36.domaincontrol.com. |
| hmc-lab.com. | NS | 3600 | NS Record: ns35.domaincontrol.com. |
HtmlToTextCheckTime:2023-05-20 06:33:12
| Toggle navigation HMC-lab home people publications resources Human and Machine Cognition Lab --> Human and Machine Cognition Lab What makes humans so uniquely intelligent? How do people make the best use of limited cognitive resources? What are the unique algorithms we use to learn from other people? About the lab Led by Charley Wu , the Human and Machine Cognition (HMC) Lab works at the intersection of Human Cognitive Science and Machine Learning research. We seek to use insights from human cognition to improve machine learning methods, while also using advances in machine learning as tools for understanding human intelligence. In practice, this often involves using experiments to study an interesting feature of human cognition (e.g., rapid learning in novel environments) and then using computational models to understand the cognitive principles behind the phenomenon. Experiments are typically performed online in the form of an interactive game, in the lab using computers or |
HTTP Headers
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