User contributions for Wikinimda@home

For Wikinimda@home talk block log uploads logs
A user with 210 edits. Account created on 11 June 2023.
Jump to navigation Jump to search
Search for contributionsExpandCollapse
⧼contribs-top⧽
⧼contribs-date⧽
(newest | oldest) View ( | ) (20 | 50 | 100 | 250 | 500)

4 August 2024

23 July 2024

  • 15:4115:41, 23 July 2024 diff hist +4,252‎ N Argument Mining Techniques ‎ Created page with "Argument mining is a subfield of natural language processing (NLP) and computational linguistics that focuses on extracting and analyzing the structure of arguments within text. The goal is to identify the components of arguments, such as claims, premises, and conclusions, and to understand how these components relate to one another. Here are some key techniques used in argument mining: # '''Argument Component Detection''': #* '''Claim Detection''': Identifying statemen..." current Tag: Visual edit
  • 13:4913:49, 23 July 2024 diff hist +688‎ Cognitive biases ‎No edit summary current Tag: Visual edit

14 July 2024

9 July 2024

  • 10:5910:59, 9 July 2024 diff hist +3,186‎ N Adaptability Quotient (AQ) ‎ Created page with "Adaptability Quotient (AQ) is a measure of an individual's capacity to adapt to and thrive in rapidly changing environments, particularly in the context of accelerating artificial intelligence (AI) advancements. Unlike traditional metrics such as IQ, AQ focuses on cognitive flexibility, emotional resilience, and the ability to integrate AI into one's thought processes. Importance in the AI Era: As AI reshapes the cognitive landscape, AQ has emerged as a critical factor..." current Tag: Visual edit
  • 10:2510:25, 9 July 2024 diff hist +1‎ Cognitive biases ‎No edit summary Tag: Visual edit
  • 10:2110:21, 9 July 2024 diff hist +4,130‎ N Cognitive biases ‎ Created page with "Cognitive biases are systematic patterns of deviation from norm or rationality in judgment. These biases often result from the brain's attempt to simplify information processing, leading to perceptual distortion, inaccurate judgment, or illogical interpretation. Common examples include confirmation bias, where people favor information that confirms their preexisting beliefs, and availability heuristic, where people overestimate the importance of information that is readi..." Tag: Visual edit
  • 10:0410:04, 9 July 2024 diff hist +1,455‎ N Neural plasticity ‎ Created page with "Neural plasticity, also known as neuroplasticity, is the brain's ability to reorganize itself by forming new neural connections throughout life. This process allows the neurons (nerve cells) in the brain to compensate for injury and disease and to adjust their activities in response to new situations or changes in their environment. Key aspects of neural plasticity include: # '''Synaptic Plasticity''': This involves changes in the strength of connections between neuron..." current Tag: Visual edit

8 July 2024

  • 17:4117:41, 8 July 2024 diff hist +3,113‎ N Rule-Based Tasks ‎ Created page with "A rule-based task is an activity or process that follows a set of predefined rules or instructions to achieve a specific outcome. These tasks are typically structured, repetitive, and predictable, making them ideal for automation through rule-based systems or algorithms. Here are some key characteristics and examples of rule-based tasks: === Characteristics of Rule-Based Tasks === # '''Structured and Repetitive''': The task involves repetitive steps that follow a speci..." current Tag: Visual edit

7 July 2024

5 July 2024

4 July 2024

2 July 2024

  • 17:0617:06, 2 July 2024 diff hist +2,141‎ Machine Learning ‎No edit summary Tag: Visual edit
  • 16:1616:16, 2 July 2024 diff hist +4,754‎ N Algorithm ‎ Created page with "An algorithm is a well-defined set of instructions or rules designed to perform a specific task or solve a particular problem. Algorithms can be simple or complex and are used in various fields, including computer science, mathematics, and everyday life. Key characteristics of an algorithm include: # '''Finite Steps:''' An algorithm must have a finite number of steps, which means it should terminate after a certain number of steps. # '''Clear Instructions:''' Each step..." Tag: Visual edit

1 July 2024

  • 10:1910:19, 1 July 2024 diff hist +1,168‎ N Anchoring Bias ‎ Created page with "Anchoring bias is a cognitive bias that describes the common human tendency to rely too heavily on the first piece of information offered (the "anchor") when making decisions. During decision-making, this initial anchor influences subsequent judgments and evaluations. For example, if you first see a shirt that costs $1,000 and then see a second one that costs $100, you might perceive the second shirt as cheap, even if it’s actually quite expensive. The initial price o..." Tag: Visual edit
  • 08:0508:05, 1 July 2024 diff hist +4,155‎ N Data Bias ‎ Created page with "'''Data bias''' in AI refers to biases that originate from the data used to train and test AI models. This bias can result from various factors related to how the data is collected, processed, and utilized, leading to unfair or inaccurate outcomes when the AI system is deployed. Here are key aspects of data bias: # '''Sampling Bias''': Occurs when the data collected is not representative of the entire population. For example, if an AI model for medical diagnosis is trai..." current Tag: Visual edit
  • 08:0008:00, 1 July 2024 diff hist +3,906‎ N Algorithmic Bias ‎ Created page with "'''Algorithmic bias''' in AI refers to systematic and repeatable errors in an AI system that result in unfair outcomes, such as privileging one group over another. This type of bias originates from the algorithms used to process data and make decisions. It can occur at various stages of AI development and deployment, including data collection, model training, and application. Here are some key aspects of algorithmic bias: # '''Bias in Training Data''': If the data used..." Tag: Visual edit
  • 07:5207:52, 1 July 2024 diff hist +3,499‎ N Interaction Bias ‎ Created page with "'''Interaction bias''' in AI refers to biases that arise from the ways in which users interact with AI systems. This type of bias can occur during the training phase when AI systems learn from user interactions or during deployment when users engage with the AI in various ways. Here are key aspects of interaction bias: # '''User Input''': The data provided by users can be biased. For example, if an AI system relies on user-generated content (like search queries or socia..." current Tag: Visual edit
  • 07:4807:48, 1 July 2024 diff hist +2,935‎ N Deployment Bias ‎ Created page with "'''Deployment bias''' in AI refers to the introduction of biases and unintended consequences that can occur when AI systems are put into real-world use. This type of bias arises not from the AI's design or training data but from how the AI system is integrated, used, and interacts with the environment and users. Here are some key aspects of deployment bias: # '''Contextual Misalignment''': When an AI system is deployed in a context different from the one it was trained..." current Tag: Visual edit

30 June 2024

  • 14:5214:52, 30 June 2024 diff hist +37‎ Deepfake ‎No edit summary current Tag: Visual edit
  • 14:5114:51, 30 June 2024 diff hist +5,029‎ N Deepfake ‎ Created page with "A deepfake is a synthetic media technology that uses artificial intelligence, particularly deep learning, to create realistic but fake audio, video, or images. This technology can manipulate or fabricate audio, visual, or textual content in a way that makes it appear as if someone said or did something they did not. Deepfakes are often used to create convincing impersonations of people, making it difficult to distinguish between real and manipulated content. While they h..." Tag: Visual edit

29 June 2024

(newest | oldest) View ( | ) (20 | 50 | 100 | 250 | 500)
Retrieved from "https://wiki.marketdomination.solutions/index.php/Special:Contributions/Wikinimda@home"