Curing Cancer with Machine Learning is Super Hard
from Linear Digressions Hosted by Katie Malone
Today, a dispatch on what can go wrong when machine learning hype outpaces reality: a high-profile partnership between IBM Watson and MD Anderson Cancer Center has recently hit the rocks as it turns out to be tougher than expected to cure cancer with artificial intelligence. There are enough conflicting accounts in the media to make it tough to say exactly went wrong, but it's a good chance to remind ourselves that even in a post-AI world, hard problems remain hard.
Embed this episode
No transcript yet.
Similar podcasts
The Talk Show With John Gruber
Daring Fireball / John Gruber
The director’s commentary track for Daring Fireball. Long digressions on Apple, technology, design, movies, and more.
Getting Into Infosec
Ayman Elsawah
Interviews with people who have transitioned and got jobs in #infosec and #cybersecurity so you can learn and be inspired from their experience. There is no linear path into the field of Information Security, so the hope is that you will resonate with at least one of the guests. Some of my guests were teachers, paralegals, librarians, military vets, developers, and IT help desk techs (to name a few) before transitioning. Also featuring "spoof" ads poking fun at the industry.
Frequently asked questions
How long is this episode of Linear Digressions?
This episode is 19 minutes long.
When was this Linear Digressions episode published?
This episode was published on August 14, 2017.
Can I download this Linear Digressions episode?
Yes. Use the download control on the episode player to save the publisher-provided media file.