Welcome to DU!
The truly grassroots left-of-center political community where regular people, not algorithms, drive the discussions and set the standards.
Join the community:
Create a free account
Support DU (and get rid of ads!):
Become a Star Member
Latest Breaking News
Editorials & Other Articles
General Discussion
The DU Lounge
All Forums
Issue Forums
Culture Forums
Alliance Forums
Region Forums
Support Forums
Help & Search
AI & robotics briefing: The year machines will run out of data (Nature)
https://www.nature.com/articles/d41586-024-01760-8(multiple AI/robotics topics & links at source)
Topics include:
- AI predicts almost 1 million antibiotics (Cell paper)
- Global air pollution forecast by AI
- When machines run out of training data
- The 1-bit LLM
- Fake AI news doesn’t shape elections (yet)
- How chips power the AI revolution
NATURE BRIEFING
11 June 2024
AI & robotics briefing: The year machines will run out of data
Large language models could exhaust the supply of publicly available, human-crafted writing in the next two to eight years. Plus, AI model finds huge cache of potential antibiotics hidden in genomes and Microsoft’s algorithm predicts global air pollution in less than a minute.
By Katrina Krämer
[...]
How chips power the AI revolution
Computer chips are trying to keep pace with the ever-increasing computing demands of AI models. A key part of this has been the switch from central processing units (CPUs) to graphics processing units (GPUs), which can do the many parallel calculations needed for AI tasks much faster than can CPUs. As AI applications move into mobile devices, “I don’t think GPUs are enough any more”, says computer engineer Cristina Silvano. Engineers are starting to use various tricks, including more accessible memory and numerical shorthand, to push the speed barriers of conventional computing.
Nature | 11 min read
Source: Cornell University
[...]
11 June 2024
AI & robotics briefing: The year machines will run out of data
Large language models could exhaust the supply of publicly available, human-crafted writing in the next two to eight years. Plus, AI model finds huge cache of potential antibiotics hidden in genomes and Microsoft’s algorithm predicts global air pollution in less than a minute.
By Katrina Krämer
[...]
How chips power the AI revolution
Computer chips are trying to keep pace with the ever-increasing computing demands of AI models. A key part of this has been the switch from central processing units (CPUs) to graphics processing units (GPUs), which can do the many parallel calculations needed for AI tasks much faster than can CPUs. As AI applications move into mobile devices, “I don’t think GPUs are enough any more”, says computer engineer Cristina Silvano. Engineers are starting to use various tricks, including more accessible memory and numerical shorthand, to push the speed barriers of conventional computing.
Nature | 11 min read
Source: Cornell University
[...]
1 replies
= new reply since forum marked as read
= new reply since forum marked as read
