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\n<\/p>\n
With artificial intelligence now being used to write everything from college homework to Congressional speeches, it\u2019s more important than ever to stay on top of the latest advances in machine learning, natural language processing, and all things AI.\u00a0<\/span><\/p>\n We\u2019ve brought together a list of seven of the top podcasts that track and explain the newest developments. They look behind the scenes at the technology behind the platforms, and they discuss how artificial intelligence is already upending business, marketing, data analysis, and more.<\/span><\/p>\n The TWIML AI Podcast\u00a0<\/b><\/p>\n<\/p>\n The TWIML AI Podcast<\/span><\/a> used to be known as This Week in Machine Learning & Artificial Intelligence. The new name is shorter and snappier, but the content is just as deep and complex. Hosted by Sam Charrington, the podcast has produced more than 630 weekly episodes featuring interviews with a host of guests \u2014 usually technicians and scientists\u2014working in the field of AI. The subjects of the discussions are often fairly complex. If you want to understand the human thinking behind artificial thinking, the show is essential listening.<\/span><\/p>\n \u00a0The Bad AI Show\u00a0<\/b><\/p>\n <\/p>\n If interviews with Stanford professors aren\u2019t your thing, try the Bad AI Show<\/a>. Hosted by Joel Comm and Travis Wright of the Bad Crypto Podcast. The pair take a fun, laidback approach to new technology, explaining clearly \u2014 and wittily \u2014 the latest developments in artificial intelligence and its practical effects. Think of the TWIML AI podcast as a Stanford lecture and the Bad AI Show as the lounge next door. It\u2019s a fun, relaxed chat with smart people about AI topics that get everyone thinking. The show is released as both an audio and video version.<\/p>\n The AI Podcast<\/b><\/p>\n <\/p>\n One of the biggest challenges that a discussion of AI generates is how the new technology will be applied in the real world. Noah Kravitz\u2019s <\/span>The AI Podcast<\/span><\/a> has already generated almost 200 answers. Each episode features an interview with experts using artificial intelligence to further their work. They\u2019ve included a wildlife biologist tracking endangered rhinos, an astrophysicist analyzing starlight, and language learners grappling with Arabic pronunciation and even the delivery of sports highlights.\u00a0<\/span><\/p>\n Data Skeptic<\/b><\/p>\n <\/p>\n As you listen to th<\/span>ose interviews with people applying AI to such a broad range of fields, it\u2019s worth asking about the effectiveness of AI in solving those problems and whether they couldn\u2019t be solved in an easier way. Claims for the benefits of artificial intelligence will grow, so make sure you\u2019re also listening to Kyle Polich\u2019s Data Skeptic<\/a>. The podcast has already produced more than 470 episodes with interviews that take down the hype and take a realistic view of what AI can and can\u2019t do.<\/p>\n \u00a0<\/p>\n The AI in Business Podcast\u00a0<\/b><\/p>\n <\/p>\n One area where both the hype and the expectation will be highest is in business applications of artificial intelligence. Each week, on the <\/span>AI in Business Podcast<\/span><\/a>, Daniel Faggella, the CEO of Emerj Artificial Intelligence Research, interviews AI executives from leading firms and startups to explore how business is adapting AI and exploring the opportunities the new technology offers.<\/span><\/p>\n \u00a0<\/p>\n \u00a0<\/p>\n The Marketing AI Show<\/b><\/p>\n <\/p>\n