Part 2 Robotics, Artificial Intelligence and Machine Learning - A Gift to the wellbeing of the planet or a Curse to humankind

<div> <p style="text-align: center;"><strong>Part 2 Robotics, Artificial Intelligence and Machine Learning</strong></p> <p style="text-align: center;"><strong>A Gift to the well being of the planet or a Curse to humankind</strong></p> <p style="text-align: center;"><em>The Black Spy Podcast Season 8, Episode 0004</em></p> <p>This week's Black Spy Podcast discusses Artificial Intelligence (AI), Robotics, and Machine Learning with Firgas Esack and fellow national news media Journalist, Sally Brockway; regarding these rapidly advancing fields that have the potential to significantly impact the future.</p> <p>We consider the positives and negatives of these fields.</p> <p>In the coming years, we can expect to see significant advancements in these fields, which will bring both major opportunities and potential existential threats.</p> <p>The future of AI is particularly exciting as it has the potential to revolutionize the way we live, work, and interact with each other. AI has already shown tremendous promise in fields such as healthcare, finance, and transportation, and its impact is only set to grow in the coming years. For example, AI-powered systems are already being used to diagnose diseases, analyse financial data, and control autonomous vehicles. The future of AI is likely to see it becoming even more integrated into our daily lives, with AI systems performing a wider range of tasks, from scheduling appointments to helping us make important decisions.</p> <p>The future of robotics is also very promising. Robotics technology has come a long way in recent years, with robots now being able to perform a wide range of tasks, from manufacturing to search and rescue operations. The future of robotics is likely to see even more advanced robots, capable of performing complex tasks with greater accuracy and efficiency. This will lead to a wide range of benefits, including improved productivity and efficiency, as well as the creation of new jobs in fields such as robotics engineering and maintenance.</p> <p>Machine learn