kushankpoddar's comments

kushankpoddar | 8 years ago | on: Breakthrough Research Papers and Models for Sentiment Analysis

Interesting... I wish there was a dataset like ImageNet for standard text analysis tasks...

kushankpoddar | 8 years ago | on: Path-breaking Papers About Image Classification

Sometimes I wonder why is the top-5 image classification task so difficult. If you are giving me 5 chances to look at an image and correctly classify it from ~1000 Imagenet classes, I can surely do better than 5-10% error rate.

Also, now that the top-5 error rate been brought down considerably, what is the next benchmark for the research community to beat? A new dataset, top-1 error rate on Imagenet?

kushankpoddar | 8 years ago | on: Things I wish someone had told me before I started angel investing

I am realising that a weekly exercise on 'inversion' should be a must-do for founders/investors.

Inversion essentially means think hard about: "What factors can cause my venture to fail?, How to avoid those factors?"

This sounds simple but it could be a very powerful idea. https://www.farnamstreetblog.com/2013/10/inversion/

kushankpoddar | 8 years ago | on: Used GPUs flood the market as Ethereum's price drops below $150

You are going to be biased towards renewables because there is "wind" in your username.

Jokes apart, this analysis greatly substantiates that point of view: https://www.eia.gov/todayinenergy/detail.php?id=18851

kushankpoddar | 8 years ago | on: Used GPUs flood the market as Ethereum's price drops below $150

There is a point of view out there that Europe's higher than average reliance on renewables has bumped up electricity prices there and contributed in making the place less competitive for industries. You can see that argument in action when European miners are losing out to others due to high power costs.

kushankpoddar | 8 years ago | on: How Artificial Intelligence is Outpacing Humans

Yeah, but it seems manufacturing is not that popular in AI research. Maybe this is because getting the desired data and performing the entire research process is much slower for this domain.