Page 3: 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.

Engineers teach spacecraft to 'dream' their way to the space station

Docking with the ISS may seem simple. However, actually doing so shows how difficult orbital mechanics can be. It's like traveling down a highway at 28,000 km/hr (17,000 mph) and parallel parking in an open garage on a multibillion-dollar ...

How cities can go greener in a warming climate

VUB researcher Robbe Neyns has developed artificial intelligence capable of identifying trees down to the species level in satellite and aerial imagery. The technology can help cities better map their trees and biodiversity, ...

Anthropic touts AI-led biology discovery

U.S. artificial intelligence startup Anthropic on Wednesday unveiled the first discovery from its molecular biology lab, a previously unknown enzyme system spotted by its Claude model and touted by the company as proof that ...

AI models enable cross-species mapping of cell biology

Researchers at Stanford Medicine have developed two new artificial intelligence models of the biological cell. The first, called universal cell embedding, paved the way for a second-generation model called TranscriptFormer, ...

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