flyvec.org valuation and analysis
Robots.txt Information
| Robot | Path | Permission |
| GoogleBot | / | ✔ |
| BingBot | / | ✔ |
| BaiduSpider | / | ✔ |
| YandexBot | / | ✔ |
Meta Tags
| Title | Svelte |
| Description | Can a Fruit Fly Learn Word Can a Fruit Fly Learn Word Embeddings? --> In this work , accepted to ICLR 2021, we study a well-established neurobiological network motif from the fru |
| Keywords | N/A |
Server Information
| WebSite | |
| Host IP | 52.116.48.130 |
| Location | United States |
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flyvec.org Valuation
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US$286,591
Last updated: 2023-05-04 05:12:28
flyvec.org has Semrush global rank of 36,931,795. flyvec.org has an estimated worth of US$ 286,591, based on its estimated Ads revenue. flyvec.org receives approximately 33,069 unique visitors each day. Its web server is located in United States, with IP address 52.116.48.130. According to SiteAdvisor, flyvec.org is safe to visit. |
Traffic & Worth Estimates
| Purchase/Sale Value | US$286,591 |
| Daily Ads Revenue | US$265 |
| Monthly Ads Revenue | US$7,937 |
| Yearly Ads Revenue | US$95,237 |
| Daily Unique Visitors | 2,205 |
| Note: All traffic and earnings values are estimates. | |
DNS Records
| Host | Type | TTL | Data |
| flyvec.org. | A | 1798 | IP: 52.116.48.130 |
| flyvec.org. | NS | 1800 | NS Record: dns2.registrar-servers.com. |
| flyvec.org. | NS | 1800 | NS Record: dns1.registrar-servers.com. |
| flyvec.org. | MX | 1800 | MX Record: 10 eforward1.registrar-servers.com. |
| flyvec.org. | MX | 1800 | MX Record: 10 eforward2.registrar-servers.com. |
| flyvec.org. | MX | 1800 | MX Record: 10 eforward3.registrar-servers.com. |
| flyvec.org. | MX | 1800 | MX Record: 20 eforward5.registrar-servers.com. |
| flyvec.org. | MX | 1800 | MX Record: 15 eforward4.registrar-servers.com. |
| flyvec.org. | TXT | 1800 | TXT Record: v=spf1 include:spf.efwd.registrar-servers.com ~all |
HtmlToTextCheckTime:2023-05-04 05:12:28
| Can a Fruit Fly Learn Word Embeddings? --> In this work , accepted to ICLR 2021, we study a well-established neurobiological network motif from the fruit fly brain and investigate the possibility of reusing its architecture for solving common natural language processing (NLP) tasks. Specifically, we focus on the network of Kenyon cells (KCs) in the mushroom body of the fruit fly brain. This network was trained on a large corpus of text and tested on common NLP tasks. Biologically, this network evolved to process sensory stimuli from olfaction, vision, and other modalities and not to understand language. It, however, uses a general-purpose algorithm to embed inputs (from different modalities) into a high dimensional space so that these embeddings are locality sensitive . This means that similar inputs are mapped to similar representations, and different inputs are mapped to distant representations. Thus, our work illustrates a theoretical possibility to reprogram a biological, |
HTTP Headers
HTTP/1.1 301 Moved Permanently Server: nginx/1.18.0 (Ubuntu) Date: Tue, 26 Oct 2021 07:55:19 GMT Content-Type: text/html Content-Length: 178 Connection: keep-alive Location: https://flyvec.org/ |
flyvec.org Whois Information
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