¡Buenos días comunidad! Hoy en #paperperuano presentamos a Fredy Barrientos-Espillco @fbarrientose y a su paper “Semantic segmentation based on Deep learning for the detection of Cyanobacterial Harmful Algal Blooms (CyanoHABs) using synthetic images” Disfrutemos!
Roman Huet, Head of Developer Experience at OpenAI, shows a live demo of how GPT-4o can interact with the world through a webcam, understanding what it sees and reads
Less than 24 hours ago, Anthropic announced Claude 3. And some people are calling it better than GPT-4.
Some are "feeling" Claude 3 (Opus) has reached AGI level.
8 incredible examples:
it's not enough to just fix the bad things; we need to aspire to a future that involves building new amazing things
a lot of tech (and public policy) has forgotten this
I've now been asked multiple times for my take on Elon's offer for Twitter.
So fine, this is what I think about that. I will assume the takeover succeeds, and he takes Twitter private. (I have little knowledge/insight into how actual takeover battles work or play out)
(long 🧵)
"Model-based analysis of brain activity reveals the hierarchy of language"
Our EMNLP paper by @c_caucheteux@agramfort & myself is out: https://t.co/BxvrbZNkPt
It shows (w/ emoji-based equations!) how deepnets can efficiently recover the language hierarchy in the
Summary👇
1/7
"El software por sí solo ya no es la herramienta sobre la que poder desarrollar avances sustanciales para la sociedad. El software se comió el mundo, pero la IA se está comiendo al software".
https://t.co/H5J5g1kCc5
NeRF-VAE: A Geometry Aware 3D Scene Generative Model
pdf: https://t.co/943n2Sspab
abs: https://t.co/CYlYRFvOkU
"NeRF-VAE is able to infer and render geometrically-consistent scenes from previously unseen 3D environments using very few input images"
Mapping out lectures and did a spontaneous brain dump of techniques for improving generalization performance of deep neural nets. What did I forget? (Only focusing on common and rel. widely used methods here)
Un profesor me dijo que en el mundo académico lo de publicar es cierto. No le importa si nadie lee o entiende, mientras haya sido publicado.
¿Hay un toque de verdad, cierto?
Hello NeurIPS and Hello World, we are back and excited to launch Stateoftheart AI!... an open-data and free platform that facilitates the collaborative development of AI by mapping and visualizing its progress, evolution, & frontier. Explore more at https://t.co/VCwe3b6trF (1/4)
Why does pruning during training often *improve* generalization?
In our #NeurIPS2020 paper led by @bartoldson, we introduce the generalization-stability tradeoff, in which decreasing pruning-induced stability leads to better generalization.
https://t.co/rRXh6QVIFG
Ever wondered how much stay-at-home slows down COVID-19? In our latest @nature paper we use smartphone data to model mobility of 98 million people and detect hotspots, track COVID-19, and guide reopening strategies. Try the model at https://t.co/1VgPKwViZt
Lenguajes de programación utilizados y aquellos que gustaría utilizar a los desarrolladores. Gráficas con #R y #Rstudio a partir del "Developer Survey Results 2019" de #Stackoverflow.
datos: https://t.co/zVnjrOcg0Z
<3
Katie Bouman's papers at CVPR: https://t.co/nN6EtXdPOM
and TCI: https://t.co/UXKunbQh1p
Code: https://t.co/cqHU0sn4dT
And Data: https://t.co/LWTsIiZaow