Unlock the power of Artificial Intelligence! Our latest episode of AI Innovations Unleashed, "AI Demystified: Your Guide to Machine Learning & More," breaks down complex topics like machine learning, neural networks, NLP, and computer vision into easy-to-understand concepts. Perfect for beginners and anyone curious about the tech shaping our world.

Additional Resources

• TensorFlow: https://www.tensorflow.org/ [invalid URL removed]
• PyTorch: https://pytorch.org/ [invalid URL removed]
• Scikit-learn: https://scikit-learn.org/ [invalid URL removed]
• Keras: https://keras.io/ [invalid URL removed]
• Pandas: https://pandas.pydata.org/ [invalid URL removed]
• OpenCV: https://opencv.org/ [invalid URL removed]
• Amazon Web Services (AWS) AI Services: https://aws.amazon.com/machine-learning/ [invalid URL removed]
• Google Cloud Platform (GCP) AI Platform: https://cloud.google.com/ai-platform [invalid URL removed]
• Microsoft Azure AI: https://azure.microsoft.com/en-us/solutions/ai/ [invalid URL removed]
• A Brief History of AI (Article): You can search for articles on the history of AI on platforms like IEEE Spectrum, MIT Technology Review, or other reputable sources.
• Coursera: https://www.coursera.org/ (Offers various AI and machine learning courses)
• edX: https://www.edx.org/ (Offers various AI and machine learning courses)
• fast.ai: https://www.fast.ai/ (Provides free courses for coding deep learning)
• Google AI: https://ai.google/ (Resources and research from Google on AI)
• Elements of AI: https://www.elementsofai.com/ (A free online course that explains the basics of AI)
• Kaggle: https://www.kaggle.com/ (A platform for data science and machine learning competitions, also offers tutorials and datasets)

AI is changing the world! 🚀 Tune into the new episode of AI Innovations Unleashed to discover how AI's superpowers are revolutionizing healthcare, the environment, education, and business. Plus, we discuss the controversies & future outlook!

References

Davenport, T. H., & Kalakota, R. (2019). The potential for artificial intelligence in healthcare. Harvard Business Review. Retrieved from [invalid URL removed]

Esteva, A., Kuprel, B., Novoa, R. A., Ko, J., Swetter, S. M., Blau, H. M., & Thrun, S. (2017). Dermatologist-level classification of skin cancer with deep neural networks. Nature, 542(7639), 115-118.

Holmes, W., Bialik, M., Fadel, C., (2023). Artificial intelligence in education. Brookings Institution. Retrieved from [invalid URL removed]

McKinsey Global Institute. (2023). The economic potential of generative AI: The next productivity frontier. McKinsey & Company. Retrieved from https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier

O'Neil, C. (2016). Weapons of math destruction: How big data increases inequality and threatens democracy. Crown.

Rolnick, D., Donti, P. L., Kaack, L. H., Kochanski, K., Lacoste, A., Sankaran, K., ... & Bengio, Y. (2022). Tackling climate change with machine learning. Nature Climate Change, 12(12), 1067-1077.

Additional Resources

1. AI for Good Global Summit. (n.d.). International Telecommunication Union (ITU). [invalid URL removed]
2. Partnership on AI. (n.d.). https://www.partnershiponai.org/
3. The AI Now Institute. (n.d.). https://ainowinstitute.org/
4. Future of Life Institute. (n.d.). https://futureoflife.org/
5. OECD AI Policy Observatory. (n.d.). https://oecd.ai/

Is AI taking over the world? (Spoiler: Not yet!) "AI Innovations Unleashed" cuts through the hype and explains the basics of Artificial Intelligence in a way everyone can understand. Subscribe and learn what AI actually is and how it's changing the world around us.

References

Auxier, B., & Anderson, M. (2023). AI and Americans' daily lives. Pew Research Center.

McCarthy, J., Minsky, M. L., Rochester, N., & Shannon, C. E. (2006). A proposal for the Dartmouth summer research project on artificial intelligence, August 31, 1955. AI Magazine, 27(4), 12.

Metz, C. (2023, May 16). How A.I. is changing the way we shop online. The New York Times. [invalid URL removed]

Rajpurkar, P., Irvin, J., Zhu, K., Yang, B., Mehta, H., Duan, T., ... & Langlotz, C. P. (2017). Chexnet: Radiologist-level pneumonia detection on chest x-rays with deep learning. Nature, 544(7651), 317-321.

Silver, D., Huang, A., Maddison, C. J., Guez, A., Sifre, L., Van Den Driessche, G., ... & Hassabis, D. (2016). Mastering the game of Go with deep neural networks and tree search. Nature, 529(7587), 484-489.

Additional Resources

• Books:
  • Russell, S. J., & Norvig, P. (2021). Artificial intelligence: A modern approach (4th ed.). Pearson.
  • Tegmark, M. (2017). Life 3.0: Being human in the age of artificial intelligence. Knopf.
• Online Courses:
  • Coursera: "AI for Everyone" by Andrew Ng
  • edX: "Introduction to Artificial Intelligence (AI)" by Microsoft
  • fast.ai: "Practical Deep Learning for Coders"
• Websites:
  • AI Now Institute: https://ainowinstitute.org/
  • Partnership on AI: https://www.partnershiponai.org/