Machine Learning Off-The-Shelf Scalability 
TechCrunch
SEPTEMBER 22, 2021
technology, machine learning, hardware, software — and yes, lasers! Founded by a team whose backgrounds include physics, stem cell biology, and machine learning, Cellino operates in the regenerative medicine industry. — could eventually democratize access to cell therapies.
TechCrunch
MAY 24, 2022
Fresh off a $100 million funding round , Hugging Face, which provides hosted AI services and a community-driven portal for AI tools and data sets, today announced a new product in collaboration with Microsoft. ” “The mission of Hugging Face is to democratize good machine learning,” Delangue said in a press release.
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Erik Bernhardsson
APRIL 21, 2015
There’s a bunch of companies working on machine learning as a service. Instead of the negative let’s go through the ways I think a machine learning API can actually be useful (ok full disclosure: I don’t think it’s very many). Focusing on a particular niche makes it easier to build something that works off the shelf.
Erik Bernhardsson
APRIL 21, 2015
There’s a bunch of companies working on machine learning as a service. Instead of the negative let’s go through the ways I think a machine learning API can actually be useful (ok full disclosure: I don’t think it’s very many). Focusing on a particular niche makes it easier to build something that works off the shelf.
TechCrunch
OCTOBER 6, 2022
The proceeds bring the company’s total raised to $17 million, which CEO Sankalp Arora says is being put toward expanding Gather’s deployment capacity and go-to-market plans as well as hiring new machine learning engineers. So does Pensa Systems, Vimaan, Intelligent Flying Machines , Vtrus and Verity.
CIO
JANUARY 4, 2023
In 2017, Fast Company wrote that Southwest Airlines’ digital transformation “takes off” with an $800 million technology overhaul, but only $300 million was dedicated to new technology for operations. While weather may have been the root cause, the 16,000 flights canceled between Dec. 19-28 far exceeded any other airlines’ operational impacts.
O'Reilly Media - Data
MARCH 22, 2018
Over the years, machine learning (ML) has come a long way, from its existence as experimental research in a purely academic setting to wide industry adoption as a means for automating solutions to real-world problems. There is also a trade off in balancing a model’s interpretability and its performance.
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