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.

AI-designed proteins enable a new generation of RNA transporters

RNA-based therapeutics use RNA as a blueprint that enables cells to produce specific proteins—including proteins that can precisely modify genes. For this to work, the RNA must reach the inside of the cell intact. Delivery ...

Using AI to track bird migration

On hearing the first cuckoo of spring, the poet's heart might sing, and while one swallow does not make a summer, the annual migrations of bird species across continents have fascinated us for centuries. Today, however, technology ...

AI designs new antibodies that pass blinded laboratory tests

Researchers affiliated with UTHealth Houston, competing under the team name Novamab AI, placed among the top five teams in the international AIntibody Challenge, a blinded, prospective benchmark published in Nature Biotechnology.

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