Page 20: 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: What can AI developers learn from climate activists

Generative artificial intelligence systems require a lot of energy, but many AI developers are hoping the technology can ultimately be a boon for the climate—possibly leading to a more efficient power grid, for instance.

Deepfake whales could be a key conservation tool

Scrolling through social media, you may have dallied on reels of Leonardo DiCaprio dancing or Tom Cruise crooning, only to realize they're spoofs created with artificial intelligence. Hyper-realistic videos and images like ...

page 20 from 38