Page 10 - Newsletter_May_2025

• - Supervised Learning: Uses labeled data.
• - Unsupervised Learning: Finds patterns in data.

• - Reinforcement Learning: Learns by trial and error.

Neural Networks & Deep Learning

• - Deep learning uses multiple layers to analyze complex patterns.
• - Used in image recognition, speech processing, and more.

• - Neural networks consist of layers of artificial neurons.

Real-World AI Applications

• - Healthcare: Diagnosis, drug discovery.

• - Finance: Fraud detection, trading algorithms.
• - Transportation: Self-driving cars.

• - Customer Service: Chatbots, virtual assistants.

Ethical Concerns & AI's Future

• - Bias in AI systems.

• - Job displacement concerns.

• - AI safety and regulations.

• - The future: Explainable AI, AI-human collaboration.
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• What is Explainable AI?

What is Explainable AI (XAI)?

• - XAI refers to AI systems designed to be transparent and understandable.
• - Helps users understand how decisions are made.

• - Builds trust and supports accountability in AI-driven decisions.
• - Important for regulated industries like finance and healthcare.

• - Tools like LIME and SHAP help explain complex models like neural networks.
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Our thanks to Mick for his very interesting and thought-provoking presentation

Dave Robb