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Foxglove raises $15M to build dev infrastructure for robots

TechCrunch

While at Cruise, Macneil says that he saw firsthand the lack of off-the-shelf tooling for robotics and autonomous vehicle development; Cruise had to hire entire teams to build tooling in-house, including apps for visualization, data management, AI and machine learning, simulation and more. Image Credits: Foxglove.

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FPGA startup Rapid Silicon lands $15M to bring its first chip to market

TechCrunch

Field-programmable gate arrays (FPGA) , or integrated circuits sold off-the-shelf, are a hot topic in tech. Launched in 2021, the goal with Rapid Silicon is to promote, adopt and implement open source tech to address the low- to mid-range FPGA market, according to CEO and co-founder Naveed Sherwani.

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Predibase exits stealth with a low-code platform for building AI models

TechCrunch

-based companies, 44% said that they’ve not hired enough, were too siloed off to be effective and haven’t been given clear roles. “The major challenges we see today in the industry are that machine learning projects tend to have elongated time-to-value and very low access across an organization.

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Black Box Machine Learning in the Cloud

Erik Bernhardsson

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.

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Off the Shelf vs Custom Software: Making the Right Choice for Your Business

Trigent

Here’s all that you need to make an informed choice on off the shelf vs custom software. While doing so, they have two choices – to buy a ready-made off-the-shelf solution created for the mass market or get a custom software designed and developed to serve their specific needs and requirements.

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Open-Sourcing Metaflow, a Human-Centric Framework for Data Science

Netflix Tech

by David Berg , Ravi Kiran Chirravuri , Romain Cledat , Savin Goyal , Ferras Hamad , Ville Tuulos tl;dr Metaflow is now open-source! About two years ago, we, at our newly formed Machine Learning Infrastructure team started asking our data scientists a question: “What is the hardest thing for you as a data scientist at Netflix?”

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Black Box Machine Learning in the Cloud

Erik Bernhardsson

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.