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AI scaling laws: Universal guide estimates how LLMs will perform based on smaller models in same family
When researchers are building large language models (LLMs), they aim to maximize performance under a particular computational ...
An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...
A pruning reservoir computing technique can mitigate noise and reconstruct nonlinear dynamics for potential engineering and neuroscience applications.
As Christopher Summerfield reminds us in “These Strange New Minds: How AI Learned to Talk and What It Means,” the ancients ...
Government procurement contracts can be complicated, with extensive risk analysis and compliance reviews. The traditional methods of contract analytics are time-consuming and often inexact, thus ...
Tech Xplore on MSN
Why machines struggle with the unknown: Exploring the gap in human and AI learning
How do humans manage to adapt to completely new situations and why do machines so often struggle with this? This central question is explored by researchers from cognitive science and artificial ...
Tech Xplore on MSN
Researchers uncover similarities between human and AI learning
By working to understand how new AI systems integrate flexible and incremental learning, researchers gained insights about ...
Researchers found that humans and AI share a similar interplay between two learning systems: flexible, quick in-context learning and gradual incremental learning.
2) The Oral Glucose Tolerance Test (OGTT) evaluates blood sugar levels two hours post-consumption of a 75 g glucose solution.
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