Andrew Ng launches $175M AI fund • Hacker News Board

hobls wrote: post #14

igravious wrote: post #12

I'm starting to notice that this AI malarkey is becoming a bit of a thing. Do people recommend I take a course in it?

I'm really enjoying his ML class on Coursera. Considering taking the deep learning series next. (And I work more than full time at a tech giant. It's working into my schedule okay so far.)

I'm at the end of a PhD. Once I've this baby wrapped up I'm jumping on that course quicker than you can say "rise of the robots". I've heard only good things about it :)

Re: Andrew Ng launches $175M AI fund

#24

Post by KaoruAoiShiho » Wed, Jan 31, 2018, 7:21 AM UTC

Did he just cop baidu's business model lmao.

Re: Andrew Ng launches $175M AI fund

#25

Post by icc97 » Wed, Jan 31, 2018, 7:38 AM UTC

hobls wrote: post #14

igravious wrote: post #12

I'm starting to notice that this AI malarkey is becoming a bit of a thing. Do people recommend I take a course in it?

I'm really enjoying his ML class on Coursera. Considering taking the deep learning series next. (And I work more than full time at a tech giant. It's working into my schedule okay so far.)

Deep learning course is better as it uses more relevant tools. The ML course uses Matlab where as DL is in Python and Tensorflow.

The ML course though is great as a precursor though.

Re: Andrew Ng launches $175M AI fund

#26

Post by Laurentvw » Wed, Jan 31, 2018, 8:07 AM UTC

Sounds interesting! Does anyone have examples of AI startups that solve real world problems? Just trying to get a picture of what companies would fit their fund.

Re: Andrew Ng launches $175M AI fund

#27

Post by quickthrower2 » Wed, Jan 31, 2018, 8:12 AM UTC

nora4 wrote: post #15

debt wrote: post #7

I really think to achieve actual AI we need a new material other than silicon but idk

Like H2O and carbon and stuff?

No that would not give you the A, or the I from my experience.

Re: Andrew Ng launches $175M AI fund

#28

Post by malux85 » Wed, Jan 31, 2018, 8:26 AM UTC

Laurentvw wrote: post #26

Sounds interesting! Does anyone have examples of AI startups that solve real world problems? Just trying to get a picture of what companies would fit their fund.

My startup, RAMM Science (https://ramm.science) has a Deep Learning Platform, we have customers using Deep Learning for:

Predicting real estate opportunities (which houses are about to sell) predicting energy usage for thousands of sites in real-time, predicting churn, predicting Ad-Tech prices and fraud in real-time, predicting anomalies in seismic radar scans, customer segmentation and recommender engines.

Those are examples of real world paying customers using Deep Learning

Re: Andrew Ng launches $175M AI fund

#29

Post by deepGem » Wed, Jan 31, 2018, 8:36 AM UTC

Laurentvw wrote: post #26

Sounds interesting! Does anyone have examples of AI startups that solve real world problems? Just trying to get a picture of what companies would fit their fund.

I think mapping roads is a real world problem. But for a few urban areas, maps are rarely updated. Of course Google has some sort of monopoly here, but there is a LOT of work to be done.

Planet labs now have the ability to map the entire planet every day at a 3m resolution. So object detection applied on these images can be a quite efficient. I still wouldn't call this AI as we are talking mostly about supervised learning but it's a highly practical real world use case. CrowdAI and the like are on this path already.

Re: Andrew Ng launches $175M AI fund

#30

Post by mamon » Wed, Jan 31, 2018, 9:00 AM UTC

igravious wrote: post #23

hobls wrote: post #14

Earlier quoted context omitted.

I'm really enjoying his ML class on Coursera. Considering taking the deep learning series next. (And I work more than full time at a tech giant. It's working into my schedule okay so far.)

I'm at the end of a PhD. Once I've this baby wrapped up I'm jumping on that course quicker than you can say "rise of the robots". I've heard only good things about it :)

What is the domain of your PhD? If it's computer science or mathematics then you might find that ML class on Coursera too easy, way below your level of competence.