关于这一集
In this week’s episode, Aarav Makadia introduces a revolutionary subset of Artificial Intelligence known as Machine Learning, and connects this to industry leading technologies that implement it. Cyber Security and blockchain are just two of the more industry wide technologies that have machine learning implementations. But, what makes machine learning important? Why is the use of machine learning in cybersecurity complicated? What makes blockchain widely adaptable in different industries worldwide? Listen to Episode 3 of TheOpenShow to learn more!
---
This episode is sponsored by
· Anchor: The easiest way to make a podcast. https://anchor.fm/app
---
This episode is sponsored by
· Anchor: The easiest way to make a podcast. https://anchor.fm/app
英语
美国
文字稿 🔗
Are you the producer of this podcast?
Add a podcast transcript
Need Audio-to-Text?
Transcribe with Listen411 in Just 60 Seconds
本播客中的其他单集
Darek Johnson, the CEO of CodeBreakers and a Software Engineer at Google, discusses the growing opportunities that computer science offers with Podcast Host Aarav Makadia. What makes software a lucrative field for technology enthusiasts? What do FAANG companies look for in potential engineers? Le...
In this week’s episode, Aarav Makadia discusses the intersection and individual uses of deep learning, natural language processing (NLP), and speech recognition, three revolutionary subsets of AI that have picked up in the recent decade. With the emergence of AI’s involvement in different industr...
Aarav Makadia dives into how electric vehicles (EVs) and autonomous vehicles (AVs) are shaping the future of the automotive industry. With the increase of EVs and AVs on the road, implementing a central computing system like the IoT makes sense. Why is the automotive industry moving towards autom...
Aarav Makadia discusses some of the biggest issues facing tech corporations, including privacy issues, media disinformation, and economic problems that may arise with the mass adoption of AI. When will tech companies understand the limits of data distribution? How will media inaccuracies shape pu...
免责声明: 本页面嵌入的播客和封面图片来自 TheOpenCode Foundation，归其所有者所有，与 Listen Notes, Inc. 无关联，也未获得 Listen Notes, Inc. 背书。
