Page 35: 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.

Multisynapse optical network outperforms digital AI models

For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light instead of electricity to process information—promise faster speeds and lower energy use than traditional ...

Scientists use AI to create protein that kills E. coli

In the last year, there has been a surge in proteins developed by AI that will eventually be used in the treatment of everything from snakebites to cancer. What would normally take decades for a scientist to create—a custom-made ...

Researchers using AI for weather forecasting

Weather forecasting is not easy. The truth is that predicting future weather conditions over broad, or even narrow, swaths of Earth's surface comes down to complex microphysical processes, and as College of Engineering Associate ...

AI revives classic microscopy for on-farm soil health testing

The classic microscope is getting a modern twist—US researchers are developing an AI-powered microscope system that could make soil health testing faster, cheaper, and more accessible to farmers and land managers around the ...

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