Latent spaces are abstract, high-dimensional areas within neural networks where patterns and relationships are encoded, but not readily interpretable by humans. Although latent space studies are still ...
Perplexity’s Aravind Srinivas believes the AI era is pushing computer science back toward mathematics, logical thinking ...
SCS researchers, including CSD's Guying Lin (shown), have developed a new scene-generation framework that creates physically realistic, simulation-ready 3D scenes from text prompts. PAT3D generates 3D ...
As self-driving cars begin operating in cities, a question remains about how to make them work in rural areas with limited ...
Quantum computers could solve certain problems that would take traditional classical computers an impractically long time to solve. At the Japan Advanced Institute of Science and Technology (JAIST), ...
Artificial intelligence is changing software engineering. Large language models are handling routine coding tasks. This shift ...
New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of floods. The studies, published in Water Resources Research and the Proceedings ...
The soaring cost and limited supply of computer memory is slowing some projects — and spurring creative approaches.
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Improving AI models' ability to explain their predictions
In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...
Aravind Srinivas, the CEO of Perplexity AI, joined a discussion about AI‘s impact on software engineering by commenting on a viral post. The original post was by a physics and AI/ML student @TheVixhal ...
The Modelling-Informed Medicine Centre will create computer models or digital twins of organs and diseases to better understand how diseases of the lungs, liver, and kidneys progress, to discover and ...
Perplexity CEO Aravind Srinivas agrees that AI is shifting software engineering away from manual coding and back towards mathematics, physics and systems thinking, as tech leaders debate AI’s impact ...
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