comprehensive report
Automating IETF Insights generation with AI
This paper presents the IETF Insights project, an automated system that streamlines the generation of comprehensive reports on the activities of the Internet Engineering Task Force (IETF) Working Groups. The system collects, consolidates, and analyzes data from various IETF sources, including meeting minutes, participant lists, drafts and agendas. The core components of the system include data preprocessing code and a report generation module that produces high-quality documents in LaTeX or Markdown. By integrating large Language Models (LLMs) for summaries based on the data as ground truth, the IETF Insights project enhances the accessibility and utility of IETF records, providing a valuable overview of the IETF's activities and contributions to the community.
- North America > United States (1.00)
- Europe > Ireland > Leinster > County Dublin > Dublin (0.14)
- Asia > China (0.04)
- (10 more...)
- Telecommunications > Networks (1.00)
- Law (1.00)
- Information Technology > Security & Privacy (1.00)
- (7 more...)
Comprehensive Report on Machine Learning in Education Market 2020
Machine Learning in Education Market research report is the new statistical data source added by A2Z Market Research. "Machine Learning in Education Market is growing at a High CAGR during the forecast period 2020-2026. The increasing interest of the individuals in this industry is that the major reason for the expansion of this market". Machine Learning in Education Market research is an intelligence report with meticulous efforts undertaken to study the right and valuable information. The data which has been looked upon is done considering both, the existing top players and the upcoming competitors.
- South America > Brazil (0.05)
- Oceania > Australia (0.05)
- North America > United States > Nevada > Clark County > Henderson (0.05)
- (18 more...)
- Education (1.00)
- Marketing (0.88)
- Banking & Finance > Trading (0.36)
Comprehensive Report on Artificial Intelligence in Energy Market 2020
Artificial Intelligence in Energy Market research report is the new statistical data source added by A2Z Market Research. "Artificial Intelligence in Energy Market is growing at a High CAGR during the forecast period 2020-2026. The increasing interest of the individuals in this industry is that the major reason for the expansion of this market". Artificial Intelligence in Energy Market research is an intelligence report with meticulous efforts undertaken to study the right and valuable information. The data which has been looked upon is done considering both, the existing top players and the upcoming competitors.
- Energy (1.00)
- Banking & Finance > Trading (0.37)
Embedded Development Boards for Edge-AI: A Comprehensive Report
The use of Deep Learning and Machine Learning is becoming pervasive day by day which is opening doors to new opportunities in every aspect of technology. Traditionally the majority of the processing for IoT applications is being done on a central cloud but that has its issues; which include latency, security, bandwidth, and privacy, etc. It is estimated that there will be around 20 Million IoT devices by 2020 which will increase problems with sending data to the cloud and doing the processing there. A new trend of processing the data on the edge of the network is emerging. The idea is to do processing as near the point of data production as possible. Doing processing on the nodes generating the data is called Edge Computing and doing processing on a layer between the cloud and the point of data production is called Fog computing.
Embedded Development Boards for Edge-AI: A Comprehensive Report
Imran, Hamza Ali, Mujahid, Usama, Wazir, Saad, Latif, Usama, Mehmood, Kiran
The use of Deep Learning and Machine Learning is becoming pervasive day by day which is opening doors to new opportunities in every aspect of technology. Its application Ranges from Health-care to Self-driving Cars, Home Automation to Smart-agriculture, and Industry 4.0. Traditionally the majority of the processing for IoT applications is being done on a central cloud but that has its issues; which include latency, security, bandwidth, and privacy, etc. It is estimated that there will be around 20 Million IoT devices by 2020 which will increase problems with sending data to the cloud and doing the processing there. A new trend of processing the data on the edge of the network is emerging. The idea is to do processing as near the point of data production as possible. Doing processing on the nodes generating the data is called Edge Computing and doing processing on a layer between the cloud and the point of data production is called Fog computing. There are no standard definitions for any of these, hence they are usually used interchangeably. In this paper, we have reviewed the development boards available for running Artificial Intelligence algorithms on the Edge
- Asia > Pakistan > Islamabad Capital Territory > Islamabad (0.05)
- North America > United States > Texas (0.04)
- Africa > Mali (0.04)
- Research Report (0.51)
- Overview (0.35)
- Transportation > Freight & Logistics Services (0.89)
- Media > News (0.69)
Seamless Organic and Paid Search Integration Strategy
Paid and organic search work together like peanut butter and jelly: on their own they are okay, but together they make magic! When it comes to PPC vs. SEO, there is only one strategy winner: integrating both. The key to any optimization strategy lies in the data. In this post, we will quickly take you through linking your Google Ads and Search Console accounts and accessing the right reports to access the insights of both, to optimize your organic and paid search strategy for peak performance. In short, following these three short steps will give you additional organic data in your AdWords reports, which you can then use to improve your organic reach as well as your search ad performance.
- Marketing (0.79)
- Information Technology > Services (0.60)