Page 26: Research news on Artificial intelligence

Artificial intelligence, as a technique, refers to computational methods that enable machines to perform tasks that typically require human cognitive capabilities, such as perception, reasoning, learning, and decision-making. Core AI techniques include search and optimization algorithms, symbolic reasoning and knowledge representation, probabilistic inference, and machine learning approaches such as supervised, unsupervised, and reinforcement learning. These techniques often rely on statistical modeling, function approximation, and gradient-based optimization to construct models that generalize from data. AI techniques are implemented in software frameworks, integrated into pipelines for training, validation, and deployment, and are evaluated using task-specific performance metrics and robustness assessments.

Q&A: How should we govern nanotechnology?

There has been a lot of interest in recent years in governing new technologies, especially for AI. Yet, before the current hype in AI, there was nanotechnology and others before it. In his doctoral thesis, Nicholas Surber ...

Advancing Martian geology mapping with machine learning tools

How can artificial intelligence (AI) be used to advance mapping and imaging methods on other planets? This is what a study presented at the 56th Lunar and Planetary Science Conference hopes to address as a lone researcher ...

page 26 from 37