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Since AI and ML startups cut across verticals (analytics, fintech, health, adtech, security, etc), it’s easier to group them under the “machine intelligence” umbrella, coined by Shivon Zillis , a partner at Bloomberg Beta. Many large companies will be built (Michael Wolfe, Point Nine Capital).
Hacker News new | comments | ask | jobs | submit login Startups in stealth mode need one piece of advice. I work for a stealth startup. The idea is just a very small part of the reason why we are in stealth. If we are not in stealth mode, it will just draw unwanted attention. niyazpk 215 days ago | link. Shocking, I know.
Great tips, fully inline with “Four Steps to the Epiphany” Also reminds me of Dharmesh’s “Stealth Mode, Schmealth Mode” — [link]. The only thing I wouldn’t do is to post it on the internet. But it’s probably wise to be more secretive in some vertical markets: [link]. link] Marco.
While it seems like the big will get bigger, new companies will emerge with an ‘AI-first’ approach, but similar to the early days of the Internet, many of the early players in the generative AI space might not make it. Vertical AI agents – automate workflows in specific industries (say health or industrial).
I guarantee you the installation experience on my Dell laptop is more pleasant with Ubuntu than OSX And does that wireless card work in Windows without scouring the internet for drivers? because it is everywhere, google flourishes because of open source, facebook too [link] , even the whole internet is built on open source.
We wanted to learn more about the nuanced industry market forces before applying the same hands-on investing model we do with tech startups in other verticals. Many of these companies, however, exhibit similar characteristics to the things we invest in outside of the health vertical. They can be surprisingly capital efficient.
Stanford’s research on the earth’s ionosphere would lead to meteor-burst communication systems and Over the Horizon Radar used by the NSA and CIA to detect Soviet and Chinese missile tests and ultimately to the research that made Stealth technologies possible. Reply Nelson A.
Today is the day that eight hopeful startups got to pitch their ideas to investors at startup accelerator Springboard’s Internet of Things (IoT) demo day in Cambridge, England. The eighth is currently operating in stealth mode (yes, even on demo day) but we’re digging to find out more about them.
We’re at a strategic point where our core business is experiencing solid growth and we’re ready to invest in significantly more advanced breathomics sensing and analytics into our roadmap, so we can begin to focus on the specific disease verticals that our data, reach and technology can have the greatest impact for. I attended in 2007.
Billions of computers, digital devices and sensors connected to the Internet, producing and storing large volumes of data, which provide other sources of intelligence. (Training Google’s GPT-3 Natural Language Model with 175 billion parameters takes 1,024 Nvidia A100 GPUs more than one month.)
It turns out the value of the Internet was not in the tools used to access web pages, but rather in the services used (and paid) by businesses and consumers. While foundational AI players focus on technology, vertical AI applies those tools to meet industry requirements. Will that also be the case in AI?
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