sumitsrivastava

Now this is pretty cool!

Hi, Farmify! This is a great question. I have designed it with medical data (among other challenging verticals) in mind too. Infact, one of the medical companies we're working with has exactly the same problem as yours: sparse data. High cost and privacy is deflecting them from what can be said as having better ML models fast. For them, we see what can be the generalised anomalies and scale those anomalies up to a background dataset. This helps us take care of the the limitations of the datasets they already have with them.

Not a minimum dataset requirement for now, but yeah- the more the merrier.

Hi folks, OP here! Happy to answer any questions you might be wondering about.

Hi, I'm Sumit Srivastava, founder of Projell. We made this after dealing with the data hell like lw data availability, high data procuring cost, huge time sink for data collection, and privacy concerns over the user data.

This prompted me to build an easy way to generate synthetic data for machine learning models. This primarily uses GANs, but we use techniques which are most efficient for specific usecases.

Areas where we've found it useful are biomedical, drone imagery, sattelite imagery, retail, and autonomous mobility.

As already prominent in the ImageNet challenge, the state of the art is using synthetic data to gain higher accuracy.

Google, for their autonomous vehicles, used millions of miles of real driving data and billions of miles of synthetic data. It is clear where the world is moving towards.

I would be happy to share the tools with everyone since dealing with data is something we struggled with and don't want anyone to struggle anymore.

Not a bad idea.

Twitter @naval.

I read it right now. I feel enriched. Thanks.

I got really better at living life by learning from other people's experiences. PG really knows which ones would I value more. That's why I like PG's essays.

Maybe the interviewer hinted at it and you missed it?

Or maybe it wasn't that obvious test case and interviewer was okay with you missing it?

Interviews can't be judged by the point of view of an interviewee. Move on to doing something else and wait for the results.

All the best!

Hi, HN! This is Sugar, a child friendly OS that was created to enable learning through computers.

Used python GTK, and have activities that enhances interactive and constructive learning among kids.

Kids are able to tweak the code and play with the operating systems themselves.

It's all open source.

Regards, Sumit

Sugar Labs

Oh, a cold climate thing.

You really should, or I can do it for you!

The last line you wrote hurt. You might want to try Wakie, a YC alumni startup.

Does it really help knowing the temperature?

I can take an umbrella if it'll rain soon but what can I do by knowing that temperature will rise by 1°C in two hours?

Genuinely curious.

We used tone.js to create https://musicblocks.sugarlabs.org

Tone.js is really good at doing things related to music.

We were able to build a scratch type programming language for music, so that kids could learn programming and music at the same time.

Songs are a pretty nice functionality.

I guess that can be done on non smart speakers too.

The alert thing is really cool! A unique way to handle kids.