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.
In a first, a large, international team led by multiple labs at Harvard Medical School and Princeton University has published a complete wiring diagram of all the connections between neurons in the central nervous system ...
Cell & Microbiology
Jun 14, 2026
0
102
Researchers at Princeton University have harnessed AI to understand how drugs affect the dynamics of vital structures within the cell, introducing a tool that can map the shape of these structures to functional outcomes and ...
Molecular & Computational biology
Jun 13, 2026
0
45
An international team including researchers from the University of Alicante (UA) and the Universitat Politècnica de València (UPV) has used artificial intelligence to analyze the climate commitments submitted to the United ...
Environment
Jun 11, 2026
0
7
A new AI model has become so good at predicting how molecules evolve over time that, in the future, it could speed up the costly and time-consuming process of testing new drugs. In the long term, this technology could facilitate ...
Biotechnology
Jun 11, 2026
0
35
Open-source artificial intelligence is advancing faster than the world can govern it, and the consequences could reshape the future of sustainability, democracy and global development. In a new comment published in Nature ...
Environment
Jun 11, 2026
0
17
Researchers have repurposed an AI model designed for visual identification tasks to detect Bryde's whale calls contained within seismic data collected in the South China Sea. The detection system precisely identified calls ...
Ecology
Jun 10, 2026
0
9
A study in the Journal of Cosmology and Astroparticle Physics explores how a machine-learning strategy known as transfer learning could dramatically reduce the computational cost of searching for new physics beyond the standard ...
General Physics
Jun 10, 2026
5
89
Artificial intelligence (AI) is fundamentally reshaping the contours of life as we know it. In agriculture, the world market for AI is expected to reach almost US$47 billion by 2034. AI enables higher farm yields with fewer ...
Biotechnology
Jun 9, 2026
0
11
Recent years have witnessed great advances in applying deep learning to improve fluorescence microscopy imaging. However, enhancing the fidelity of image restoration networks and improving their robustness under fluorescence ...
Cell & Microbiology
Jun 9, 2026
0
11
Conservationists analyze overwhelming volumes of ecological data in their work. For example, they might need to process decades of weather data or the movements of millions of insects. Up until now, these scientists and decision ...
Ecology
Jun 9, 2026
0
7
