AI Research Challenges and Developments

<p>Development of the General Problem Solver (GPS) for solving problems step-by-step. (D)</p> Signup and view all the answers

<p>The shift from rule-based systems to systems that use statistical modeling. (A)</p> Signup and view all the answers

<p>Logic-based approaches to knowledge-based approaches. (B)</p> Signup and view all the answers

<p>Expert Systems utilized domain-specific knowledge, while symbolic reasoning focused on general problem-solving. (B)</p> Signup and view all the answers

<p>The increased funding for fundamental research in AI. (A)</p> Signup and view all the answers

<p>Cognitive science is solely focused on studying the brain's physical structure and biological mechanisms. (A)</p> Signup and view all the answers

<p>Thermoception (A)</p> Signup and view all the answers

<p>AI's reinforcement learning models are based on the human understanding of the cerebellum's function. (B)</p> Signup and view all the answers

<p>Intelligence (D)</p> Signup and view all the answers

<p>Cerebellum (D)</p> Signup and view all the answers

<p>By interpreting sensory input through a series of specialized neural pathways. (C)</p> Signup and view all the answers

<p>Neuroscience focuses on biological mechanisms, while cognitive science examines mental functions. (D)</p> Signup and view all the answers

<p>Motivation (C)</p> Signup and view all the answers

<p>The immense number of neurons required to achieve comparable complexity. (A)</p> Signup and view all the answers

<p>The capacity for self-motivation and subjective experiences. (A)</p> Signup and view all the answers

<p>The potential for AI to develop uncontrollable and unpredictable behavior. (D)</p> Signup and view all the answers

<p>The potential ethical and technical challenges that may arise. (C)</p> Signup and view all the answers

<p>Image recognition. (C)</p> Signup and view all the answers

<p>Image Generation. (D)</p> Signup and view all the answers

<p>Providing computers with the ability to understand and generate human language. (A)</p> Signup and view all the answers

<p>Analyzing and interpreting the content of images and videos. (C)</p> Signup and view all the answers

<p>A machine learning model predicts the likelihood of a patient developing a specific disease based on their genetic information and lifestyle factors. (A)</p> Signup and view all the answers

<p>The data that a machine learning model uses to learn and improve its performance over time. (B)</p> Signup and view all the answers

<p>Unsupervised Learning (A)</p> Signup and view all the answers

<p>A robot learning to navigate a complex environment through trial and error, receiving rewards for successful actions. (D)</p> Signup and view all the answers

<p>Segmenting customers into different groups based on their purchasing patterns. (B)</p> Signup and view all the answers

<p>Reinforcement Learning (B)</p> Signup and view all the answers

<p>Minimizing the number of input features in a dataset while preserving important information. (C)</p> Signup and view all the answers

<p>A marketing team groups customers into distinct segments based on their buying behavior and demographics. (C)</p> Signup and view all the answers

<p>The availability of big data, computational power, and cloud storage (D)</p> Signup and view all the answers

<p>AlphaGo used reinforcement learning, enabling it to improve through self-play, while Deep Blue followed pre-programmed rules. (B)</p> Signup and view all the answers

<p>AlphaZero showed that AI could surpass human-designed strategies in complex games without human input. (D)</p> Signup and view all the answers

<p>Intelligent agents focus on mimicking human intelligence as a primary goal (B)</p> Signup and view all the answers

<p>AI systems designed to simulate human expertise in specific domains (C)</p> Signup and view all the answers

<p>AI-powered diagnostics and personalized medicine that improve healthcare outcomes (C)</p> Signup and view all the answers

<p>They enable machines to understand and generate human language, facilitating communication and interaction. (D)</p> Signup and view all the answers

<p>The rise of expert systems that could simulate human expertise in specialized fields (C)</p> Signup and view all the answers

<p>A customer receives a personalized email with coupon codes for products similar to those they have previously bought, based on their purchase history. (D)</p> Signup and view all the answers

<p>AI helps predict demand for products based on historical sales data and current market trends, enabling efficient inventory management. (B)</p> Signup and view all the answers

<p>The development of ethical guidelines and regulations to ensure responsible AI use in data collection and analysis. (C)</p> Signup and view all the answers

<p>A customer using an online chat service receives immediate assistance from a chatbot that answers basic questions and provides product information. (C)</p> Signup and view all the answers

<p>Enhanced safety in industrial environments by using AI to monitor and control potentially hazardous machinery. (D)</p> Signup and view all the answers

A period of reduced funding and interest in AI research due to unmet expectations.

Issues regarding the protection of personal information in AI systems.

Restrictions on processing power and memory affecting AI performance.

Difficulty in understanding how deep learning models make decisions.

An early AI approach representing intelligence through logic and rules.

AI programs that simulate the knowledge of human experts in specific fields.

An expert system used to identify chemical compounds.

The first AI to defeat a world chess champion, Garry Kasparov, in 1997.

AI systems designed for perception, learning, and decision-making.

AI that learns from big data instead of predefined rules.

AI method using neural networks for tasks like image and speech recognition.

AI that defeated a human champion in the game of Go using reinforcement learning.

Method where AI learns by playing against itself, enhancing its strategies quickly.

AI technology that enables machines to understand and generate human language.

Components of expert systems that draw conclusions from formalized knowledge.

Cells in the brain that support and protect neurons.

The brain's ability to receive and interpret sensory inputs.

Part of the brain that coordinates fine motor actions.

Mental processes like memory, attention, problem-solving, and language.

The mental process of acquiring knowledge and understanding.

The study of brain structures and biological mechanisms.

The study of cognition, focusing on mental processes.

AI systems inspired by biological neurons and their connections.

A computer program learns from experience, improving performance on tasks measured by a performance metric.

Machine learning is categorized into three types: supervised, unsupervised, and reinforcement learning.

Learning with labeled data where each input is paired with a corresponding output label.

Real-world applications include face recognition, email spam detection, and medical diagnosis.

Learning from unlabeled data where the algorithm identifies patterns and groups data into clusters.

Real-world applications include market segmentation and anomaly detection in cybersecurity.

Learning through trial and error where an agent receives rewards or penalties based on actions taken.

Real-world applications involve self-driving cars and automated stock trading that adapt based on rewards.

The challenge of replicating human brain's 86 billion neurons in AI.

Ability to understand context and intuition, often lacking in AI.

Hypothetical AI that exceeds human intelligence in all aspects.

Converting spoken words into text, used in virtual assistants.

AI converts text between different languages.

AI detects emotions in text, like reviews or social media posts.

Automated systems that provide customer support through conversation.

AI tailors product recommendations based on customer behavior and history.

AI predicts demand and manages inventory to minimize waste.

AI adjusts product prices based on demand and competition.

Chatbots provide 24/7 assistance to enhance customer support.

AI analyzes purchase patterns to identify and prevent fraud.