Think of how much better the signal-to-noise ratio of email would become.
Looks like I can't connect it to the internet or else they'll even take that away.
Might need to just rip out the wifi chip.
In all seriousness. I have set up several HPCs running on NVIDIA chips. They're running in my garage right now, making me about $4/hr. That is good but at the end of the day, they are commodity hardware chips like any other. Let’s look at AMD (worth 300B) for example. AMD also makes GPUs whose pure number-crunching capabilities rival those of NVIDIA. What does NVIDIA have that AMD lacks that...
I've been tasked with creating an API to look up a customer based on a variety of fields. A non-exhaustive list of fields could look something like:- customer_id - customer_first_name - customer_last_name - customer_loan_number - customer_phone_number - customer_email - customer_address - customer_date_of_birth - customer_zip_codeWhat I ultimately want is customer_id. But what I have is any...
Location: Cambridge MA, Chapel Hill NC and Dorset England
Remote: Yes
Willing to relocate: Maybe but only to either North Carolina, London or Southwest England, and not for six months
Technologies: Python, C++, high-performance computing, all of the -omics, shotgun and capture sequencing, RNA-seq, ancient DNA sequencing with some frontend react as-needed
Résumé/CV: https://imgur.com/aKt2kT4 Email: f"alice@pearson.{}".format(extension for the United Kingdom of Great Britain and Northern Ireland!)
Bio: Experienced research scientist for all of the -omics. University of Cambridge PhD, Harvard Postdoc in field-leading lab. Comfortable processing terabytes of text files on high-performance computing and only share results when I have a strong conviction that they are right. Have recently learned React as well. Would be a great asset to any -omics startup, especially in the consumer or medical genetics spaces. Very interested in primary industry—manufacturing, transportation and agriculture. Willing to consider quant finance roles as well.
Taking the insurance example you have the "suppliers" (doctors, drug companies and device companies), the "venue" (hospital) and the "extractor" (insurer).
Similarly you have the "suppliers" (musicians), the "venue" (the venue I guess) and the "extractor" (Live Nation and Ticketmaster). No obvious mapping to the record labels, recording studios or (biggest of all) streamers but hopefully some similarities are present.
I feel like Escobar, the Sinaloa Cartel, etc, are much more top-down.
It’s like a cartel but it’s lead by one “extractor” (front of house, Ticketmaster in this case).
I think the key thing here is that energy is 100% fungible unlike your examples. A kWH is a kWH.
Once I was in the airport with a delayed flight and realized: this absolutely sucks. I paid $xyz for a 6PM flight and what I received in return was a 7:45PM flight plus a 1h45min waste of time at the airport.Frustrated, I began to analyze the data. Do some airlines perform, on average, better than others? What about airports? What about days of the week?I found that the answer to all of the...