A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral ...

MIT researchers have designed silicon structures that can perform calculations in an electronic device using excess heat ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

Recent study reveals machine learning's potential in predicting the strength of carbonated recycled concrete, paving the way ...

NTN applies AI and machine learning to accelerate bearing design, cut analysis time and reduce engineering workload.

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

AI Impact examines responsible AI, creative scale, deployment friction and the leaders steering AI adoption.

AI may learn better when it’s allowed to talk to itself. Researchers showed that internal “mumbling,” combined with ...

GenAI may be accelerating a developmental transition in how learners conceptualize programming itself.

AI-native air interfaces represent a shift from mathematical models to learned representations at the PHY layer.

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...