Aquí le doy toda la razón a Elon Musk. Twitter es el mejor lugar para leer entre líneas al mundo académico del Deep Learning.
INNOVATION
-
Great Creators Don’t Follow Conventions or Market Analysis
By
–
Great artists don’t study art history to figure out what art to create. Great founders don’t analyze the market to figure out what product to build.
-
Master Lakehouse Architecture in Four Free Video Courses
By
–
Become a #Lakehouse master in just 4 short videos. As Lakehouse becomes the new industry standard for #data, it’s important to get up to speed by taking this FREE on-demand training to build your Lakehouse skills. Get started today https://
dbricks.co/3FqAwa3 -
1 Inch Sensor Low Light Performance and X3 Compatibility
By
–
But the 1” does so much better with low light! Is it only the X3 that’s supported?
-
Infinite Seinfeld: AI Generated Content Meets Interdimensional Entertainment
By
–
Generative AI is wild ♾️ An infinite Seinfeld episode is the internet's hottest, weirdest obsession right now. And it's proof that we're one step closer to Interdimensional Cable TV from Rick & Morty 😁 How far are we from realizing the multi-modal metaverse of madness?🎶📑🎨🎥 pic.twitter.com/KHr8iOHLyl
— Bilawal Sidhu (@bilawalsidhu) 4 février 2023Generative AI is wild An infinite Seinfeld episode is the internet's hottest, weirdest obsession right now. And it's proof that we're one step closer to Interdimensional Cable TV from Rick & Morty How far are we from realizing the multi-modal metaverse of madness?
-
Abacus AI’s Core Research Areas in AI and Machine Learning
By
–
At @abacusai we are doing active foundational research in the following areas – Neural architecture search
– Code gen LLMs
– Pre-trained forecasting
– NNs for tabular data
– LLMs for Enterprise AI -
Building Ecosystem Bridges When Tech Funding Tightens
By
–
Well said — when the coffers of funding tighten up, it’s time to get off the tech island and build bridges to the best in the ecosystem
-
ML Conference Publishing Standards and Workshop Paper Policies
By
–
Interesting point. From that perspective, then ML conferences seem like the weird ones: because they wouldn't allow workshop papers from ICCV/CVPR becuse they're "published." But since they're <= 4 pages, then they can be submitted to ICCV/CVPR? Incompatible systems.
-
Programming vs Machine Learning: Converting Processes into Value
By
–
Programming is a way to convert an abstract description of a process into value. Machine learning is a way to convert inputs and outputs of a process you can’t describe into value. Much harder to get an ML system off the ground, but the upside is correspondingly much higher too.
-
Whurley Discusses Quantum Computing Roadblocks on Stories in AI
By
–
Whurley, Founder and CEO of Strangeworks, talks about some of the roadblocks that quantum computing faces in the near future. Be sure to follow along and listen to all the @storiesinAI podcast!
— Ganesh💰Padmanabhan ⚕️🦾 (@_ganeshp) 4 février 2023
Full Show:https://t.co/E40Ecv7D7K#ai #technology pic.twitter.com/f0EpD5swvwWhurley, Founder and CEO of Strangeworks, talks about some of the roadblocks that quantum computing faces in the near future. Be sure to follow along and listen to all the @storiesinAI podcast! Full Show: https://
youtu.be/JYq6Pk5pYJw #ai #technology
