[#Article]
@MicronTech introduces GDDR7, its graphics memory chip for next-generation GPUs https://actuia.com/actualite/micron-technology-presente-gddr7-sa-puce-de-memoire-graphique-pour-les-gpu-nouvelle-generation/
… #AI #ArtificialIntelligence
TECHNOLOGY
-
Micron Technology Introduces GDDR7 for Next-Generation GPUs
By
–
-
Technology Empowerment for Elderly and Disabled Populations
By
–
In our aging world, innovation and technology are lifelines for the elderly and disabled.
— Pascal Bornet (@pascal_bornet) 10 juin 2024
I remember my grandfather, struggling in pain after hip surgery, just trying to get into the car.
It’s not about gadgets; it’s about empowerment.#innovation pic.twitter.com/g2U1mSSw43In our aging world, innovation and technology are lifelines for the elderly and disabled. I remember my grandfather, struggling in pain after hip surgery, just trying to get into the car. It’s not about gadgets; it’s about empowerment. #innovation
-
Streamlit Chat Input Handling and History Management
By
–
6. Accept User Input • Accept user input using '
http://
st.chat_input()'
• Add the user message to the chat history and display it in a chat message container -
Installing Python Libraries for AI Development
By
–
1. Install the necessary Python Libraries Run the following commands from your terminal to install the required libraries:
-
Data Wall: AI Progress Bottleneck or Engineering Challenge?
By
–
6/ if you zoomed all the way out, the data wall will either look like: A) a short-term impediment that we will engineer our way out of
B) a very meaningful plateau to AI progress the industry is pretty split on which of these it is—there's no obvious answer -
Data abundance and algorithmic advances beyond current scaling laws
By
–
7/ in the "data wall will slow AI" case, progress will depend on: – methods for data abundance (above)
– algorithmic advances that advance us beyond the current scaling law paradigm -
100B GPU Investment: Will Next-Gen AI Models Justify NVIDIA Spending?
By
–
1/ one of the biggest questions in AI today is: since GPT-4 was trained in fall 2022, we've collectively spent ~$100B on NVIDIA GPUs will the next generation of AI models' capabilities live up to that aggregate investment level? NVIDIA qtrly datacenter rev, by @Thomas_Woodside
-
Generative ConvNets for Video: A Decade of AI Innovation
By
–
Us indeed! A decade earlier, in 2010, we organically introduced generative convnets for video understanding and generation. I remember presenting it at NeurIPS and Jitendra Malik rightfully asking us to scale and evaluate. Yet, I argued against most of the vision community at the
-
Open Source Collaboration Spirit and Community Engagement
By
–
This is the spirit I love Whenever someone asks me if I wanna collab, I’m tempted to ask “are you on X? do you open source? I thought we were collab’ing already”
-
Optimize Code for Readability and Conciseness
By
–
“comprehensive” “direct” and/or “detailed” often combined with “concise” “optimize for human readability and minimal lines of code” is my go to code prompt (more than 3 words I know)