TheEzEzz

10 ms·

61.
Standard (YC S17) is hiring to build the next revolution in automation(standard.ai)
1 points by TheEzEzz 8y ago
62.
Build a world class ML infrastructure team, Standard
1 points by TheEzEzz 8y ago
63.
by TheEzEzz 8y ago
Standard | Head of ML Data and Infrastructure | SF We're using an all vision pipeline to build the checkout process of the future, and the data and ML infrastructure is as complex as for autonomous vehicles. We're looking for a fa
64.
Standard Cognition (YC S17) Is Hiring – Create High-Performance Rust Systems
1 points by TheEzEzz 8y ago
65.
by TheEzEzz 8y ago
Just an anecdotal warning. Unisom is not recommended for long term use. I didn't know this and used it for a year straight to combat stress induced insomnia during my first startup. It took me a few years before I returned to feeling &
66.
Work in Harajuku and transform the way the world shops $100k – $180k
1 points by TheEzEzz 8y ago
67.
Standard Cognition (YC S17) is hiring. Change the way the world shops
1 points by TheEzEzz 9y ago
68.
by TheEzEzz 9y ago
Standard Cognition (YC S17) | All positions | 110k - 170k + equity | SF | On-site 90% of purchases happen in stores, with in-store checkouts totalling more than 20 trillion dollars a year. We're building the future of checkout to compl
69.
by TheEzEzz 9y ago
Jordan from Standard Cognition here (we're building a competing autonomous checkout system). Not having a phone is definitely a big worry. Not all people even have a smart phone, even in the US, and of the people that do a lot don&#x27
70.
by TheEzEzz 9y ago
Jordan from Standard Cognition here (that's a video of our autonomous checkout system). We don't depend on the shelf location an item came from. You can put things back anywhere you like and the system behaves just fine. It's
71.
by TheEzEzz 9y ago
Jordan from Standard Cognition here (that's a video of our autonomous checkout system). From what we've read about Amazon it sounds like we're approaching things very differently. Amazon uses sensor fusion, including lots of
72.
Standard Cognition (YC S17) is hiring deep learning researchers
1 points by TheEzEzz 9y ago
73.
by TheEzEzz 9y ago
Standard Cognition | Researchers and Engineers | San Francisco, CA | Full-time, onsite | 120k-180k We're using machine vision to build zero-friction checkout for stores. Walk in, grab stuff, and leave. Our system figures out what you g
74.
by TheEzEzz 9y ago
Co-founder of Standard here. I agree. Our goal is to use this technology to streamline our lives, not to invade privacy. We don't do any biometrics or facial recognition, and we don't send video to the cloud for central storage. W
75.
by TheEzEzz 9y ago
Standard Cognition (YC S17) | Researchers and Engineers | San Francisco, CA | Full-time, ONSITE We're using machine vision to build zero-friction checkout for stores. Walk in, grab stuff, and leave. Our system figures out what you grab
76.
by TheEzEzz 10y ago
SEC | NY $120,000 - $180,000 | ONSITE We're building the US Securities & Exchange Commission’s next generation analytics platforms to keep our markets safe, effective, and trusted. Come build awesome tools to analyze big data. We d
77.
by TheEzEzz 10y ago
Software archaeology is in both =D
78.
by TheEzEzz 10y ago
SEC | NY $120,000 - $180,000 | ONSITE We're building the US Securities & Exchange Commission’s next generation analytics platforms to keep our markets safe, effective, and trusted. Come build awesome tools to analyze big data. We d
79.
by TheEzEzz 10y ago
~20GB/s read/write over a thousand+ cores seems slow, especially for embarrassingly parallel data such as this (split on security). That works out to megabytes per second per core. Am I missing something?
80.
by TheEzEzz 10y ago
SEC | NY $115,000 - $205,000 | ONSITE We're building the SEC's next generation analytic platforms to keep our markets safe, effective, and trusted. Come build awesome tools to analyze big data. We do quantitative analysis, machine
81.
by TheEzEzz 10y ago
Interesting. Any links to diagnostics that can be run from fecal samples compared to blood samples?
82.
by TheEzEzz 10y ago
The trackpad keyboard is huge. It greatly ameliorates how horrible touch keyboards are, and makes editing text not too much of a chore. I'm afraid no one will use it and the feature will get axed.
83.
by TheEzEzz 11y ago
The Roslyn C# compiler is exposed as various libraries (and is open source) and is quite nice to work with. I was able to utilize it to make a C#-to-HLSL/GLSL compiler fairly easily.
84.
Samsara.js – Animation for the web.. with streams(github.com)
5 points by TheEzEzz 11y ago|0 comments
85.
by TheEzEzz 11y ago
If those high targets are the only things remaining then I'd say the race is pretty close to finishing. I'd be more pessimistic if features on the todo list still included 'identifying stop signs', 'recognizing peop
86.
by TheEzEzz 11y ago
VS can definitely be configured to be lean. My setup is dark, almost no chrome, and is fully keyboard driven. It can take a bit of work though. VS isn't my main editor, but I enjoy it when I use it, after a few years of wrestling with
87.
by TheEzEzz 11y ago
If there is only .1% variation then we should be able to get a diff down to ~1MB with some cleverness.
88.
by TheEzEzz 11y ago
https://en.m.wikipedia.org/wiki/Futurism_(disambiguation) Futurists (from future studies) refer to the field as futurism, futurology, and future study. See usages https://www.google.com/search?q=futuris
89.
by TheEzEzz 11y ago
Gradient ascent is what you use to find the image that tricks the DNN. If you could run repeated experiments on a brain in exactly the same state over and over then you could perform gradient ascent on a brain as well. Whether the result of
90.
by TheEzEzz 11y ago
> the problem won't be solved by collecting even larger datasets and using more GPUs, because leopard print sofas are inevitable. The models have room for improvement, but it's not clear to me that larger datasets won't so

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