mythbuster
'MythBusters' star Adam Savage explores longevity and life hacks: 'There's no magic secret'
Tested's Adam Savage paired up with Medtronic to offer his commentary on what can contribute to a longer lifespan, including possible differences between men's and women's health. Former "MythBusters" star Adam Savage is exploring the science of longevity, asking how lifestyle choices, stress and even sleep affect how long we live. Savage, now a YouTube creator and head of the channel Tested, has partnered with health technology company Medtronic to engage in discussions about longevity. While not a researcher himself, he has taken a deep dive into scientific insights from experts and reflected on his own experiences. "Longevity has always been a fascination for me," Savage told Fox News Digital in an exclusive interview.
- Health & Medicine > Health Care Technology (1.00)
- Health & Medicine > Therapeutic Area (0.76)
Starting a career in A.I: A MythBuster (Part 1)
During college, like many of you, I was fascinated by the emerging real-world use cases of A.I, especially Computer Vision(CV). Not to say that the other branches of A.I, like Natural Language Processing(NLP), aren't interesting. It was just the fact that A.I covers so many fields and given the limited time I can spend on extra courses, I could only explore classical Machine Learning(ML) and classical CV with a pinch of Deep Learning(DL). After graduating from college in 2018, I joined Adobe as a Software Engineer. Although the job was interesting in its own way of building software products that were being used by millions of people every day, the fascination around the magic of A.I never died.
Starting a career in A.I: A MythBuster (Part 2)
I'm also glad that all of them got productized. This brings me to the first major difference between academia and industry. Industry focuses on productizing whereas Academia focuses on research. You might have realized that they are not always mutually exclusive. In my previous part of the series, I had talked about my fascination for the Magic of A.I. Magic of A.I is best seen in projects which are an intersection of both bleeding-edge research which pushes the frontiers of the current state of the art and the productization of it. What good is research if it is not easily accessible to use and what good is an easily accessible product which is not very smart?