Introduction to Artificial Intelligence Tool.pptx

A brief introduction to Artificial Intelligence Tools that can be used for exploring new fundamental concepts and knowledge.

1. Introduction to Artificial Intelligence Tool in Scientific Research

2. Outlines What is Artificial Intelligence? Early-Stage AI Advanced Era – Generative AI AI Tools in Scientific Research

3. What is Artificial Intelligence? AI simulates human intelligence in machines. It involves tasks like recognizing speech, making decisions, and identifying patterns. AI is an umbrella term that covers various technologies.

4. Type of AI Machine Learning : Uses algorithms trained on data to create models. Enables tasks like song recommendations, travel planning, and language translation. Deep Learning : Utilizes neural networks for complex tasks (e.g., image recognition). Natural language processing (NLP) : Enables understanding and generation of human language.

5. AI vs. Human Intelligence Artificial Intelligence (AI) is like a super-smart computer. It can learn from data, recognize patterns, and make decisions very fast. AI lacks feelings, intuition, and creativity. It’s like having a genius calculator, but without emotions or self-awareness. On the other hand, human intelligence is what makes us uniquely human.

6. AI Taking Human Jobs? Automation and Job Displacement Machines can perform tasks faster and more accurately, leading to concerns about job loss. - However, historical patterns show that new jobs are often created as technology advances Economic Growth and New Opportunities AI and related technologies will boost economic growth. - Companies adopting AI can improve productivity, reduce costs, and enhance product quality. - As in the past, AI will create additional job opportunities, just as steam engines and computers did

7. AI in Science Fiction “The Matrix”:  A dystopian world where intelligent machines enslave humanity. “Terminator” series:  AI-driven machines wage war against humans. “I, Robot”:  A future where robots coexist with humans but face ethical dilemmas.

8. Early Stage AI Voice Recognition: Explore how AI systems recognize and interpret spoken language. Object Recognition: Discuss computer vision techniques for identifying objects in images. Text-to-Speech: Explain how AI converts written text into spoken words. Personal Assistants: Highlight popular AI-driven personal assistants: Siri Google Now Cortana Alexa

9. Advanced Era – Generative AI

10. Computational Power and Energy Consumption Generative AI’s Environmental Costs: The AI industry faces an energy crisis due to the soaring power consumption of generative AI systems. These systems, like ChatGPT, consume vast amounts of energy—equivalent to tens of thousands of households. But it’s not just energy; they also require substantial fresh water for cooling and electricity generation. Water Usage and Data Centers: Data centers housing advanced AI models, such as GPT-4, demand significant water resources. In West Des Moines, Iowa, OpenAI’s data center used about 6% of the district’s water in a single month. Google and Microsoft experienced major spikes in water use during their large language model development.

11. Biometric: Biometric systems capture these traits through specialized sensors or devices, such as fingerprint scanners, iris scanners, or facial recognition cameras.

12. Voice/Face Mimicry: Replicate human voices/ human face convincingly.

13. Text-to-Object/Image Generators: DALL-E:  Generates images from textual descriptions. Adobe Firefly:  Creates visual content based on text.

14. Text-to-Video Generator SORA  by OpenAI, which generates videos from text prompts.

15. Large Language Models (LLM): Explain the power of LLMs: GPT Series (including GPT-4 Turbo):  Versatile language models for various tasks. BERT (Gemini and Gemma by Google):  Bidirectional contextual understanding.

16. Code Generation: Codex  by OpenAI, which generates code snippets.

17. Music Generation: Jukebox  by OpenAI, which creates music compositions.

18. AI Tools in Research Scientific writing: ChatGPT / Co-Pilot Reading and Summaries Article : SCISPACE Statistical analysis software tools : Minitab, Origin Pro Reference Tools : Mendeley Plagiarisms and AI Detector : Turnitin AI Content Detector : Copyleaks , Sampling.AI, GPTZero

19. Scientific writing Use ChatGPT/Co-Pilot to generate good Title Abstract Keywords Prompt for generating abstract of research paper Write an abstract for a research paper on ( title… ). Follow this flow: Introduction and importance, methods ( ..mention a few methods in short.. ), Results ( mention key results.. ), implications and future directions Ensure the abstract is clear and concise. Keep the abstract within 200 – 250 words, suitable for journal submission. Make it in a paragraph.

20. Scientific writing (cont.) example: Short Title : Improvement of Microwave Absorption of SiC /Kaolinite Composite Susceptor A few methods: SiC /Kaolinite composite to examine the material's potential to absorb heat and conserve energy. After firing process, the sample of different SiC /kaolinite compositions (x = 10, 20, 30, 40, and 50wt%) were tested microwave absorption, porosity, and density measurements, Fourier Transform infrared (FTIR), Scanning Electron Microscopy (SEM) and X-ray Difftaction (XRD) Key Results: SiC-30wt% kaolinite composite had a potential of excellent compositionthe highest highest temperature. SiC-50wt% kaolinite had shown the much less porosity. SEM results shows the increasing amount of kaolinite wt % in sample have decreasing amount of porosity of the sample.

21. Scientific writing (cont.) Prompt for generating abstract of review paper Write an abstract for a review paper on ( title… ). Follow this flow: Background and scope, Main findings ( ..mention few findings.. ), Results ( mention key results.. ), implications and future directions Ensure the abstract is clear and concise. Keep the abstract within 200 – 250 words, suitable for journal submission. Make it in a paragraph.

22. Scientific writing (cont.) Prompt for generating title Write Title for a research paper by considering the abstract (..paste abstract..). Ensure the title is clear and concise, specific and in a one phrase summary. Keep the title within 8-15 words, suitable for journal submission

23. Scientific writing (cont.) Prompt for generating keyword of research paper Generate specific keywords for a research paper on ( title… ). Considering the abstract (..paste abstract..). Ensure the keywords within 5 – 7 words suitable for journal submission.

24. Internet of Things A network of interconnected physical devices that are embedded with sensors, software, and other technologies to collect and exchange data over the internet Arduino Raspberry Pi Sensors: Temperature sensors, Humidity sensors, Pressure sensors, Proximity sensors , Motion sensors (e.g., accelerometers, gyroscopes), Light sensors (photocells, photodiodes), Gas sensors (e.g., carbon monoxide, methane), Sound sensors (e.g., microphones), Force sensors, Weight sensors (load cells), pH sensors, Water level sensors, Magnetic sensors (Hall effect sensors), Infrared sensors

25. Modern AI Hardware Drone Argument Reality Mixed Reality Smart Home Self-driving car

26. Other AI Applications in Research Healthcare AI is used in diagnostics, drug discovery, personalized medicine, and patient care, improving efficiency and medical outcomes. Agriculture AI enhances crop monitoring, yield prediction, soil analysis, and resource optimization, contributing to sustainable farming practices. Finance AI is utilized for fraud detection, algorithmic trading, risk assessment, and customer service, revolutionizing financial services.

27. Benefits of AI in Research Efficiency AI automates repetitive tasks and streamlines processes, significantly reducing time and labor involved in research activities. Innovation AI facilitates the discovery of novel insights, patterns, and solutions, fostering breakthroughs in research and development. Decision-making AI enables data-driven decision-making, providing researchers with valuable insights and predictions to support strategic choices.

28. Challenges and Ethical Considerations Bias and Fairness AI systems may perpetuate biases from training data, leading to unfair outcomes and societal implications that require consideration. Privacy and Security The use of AI raises concerns about data privacy, security breaches, and unauthorized access, demanding robust safeguards and regulations. Accountability and Transparency Issues of accountability, transparency, and explainability in AI algorithms pose ethical and legal challenges that need to be addressed. Photos provided by Pexels

29. AI Tools for Data Analysis Statistical Analysis AI tools perform advanced statistical analyses, uncovering trends, correlations, and insights within large datasets more efficiently than traditional methods. Data Visualization AI generates visually compelling representations of data, enabling researchers to comprehend complex information and communicate findings effectively. Predictive Modeling AI employs predictive modeling to forecast future outcomes based on historical data, aiding in scenario planning and risk assessment.

30. Conclusion and Future Implications Key Takeaways AI presents transformative opportunities for research, offering efficiency, innovation, and enhanced decision-making, but also introduces challenges and ethical considerations. Future Prospects The future of AI in research holds vast potential for advancing knowledge discovery, solving complex problems, and driving societal and economic progress. Ethical Imperatives Ethical guidelines, policies, and regulations must be prioritized to ensure the responsible and beneficial integration of AI in research endeavors. Photos provided by Pexels