Swaminathan Sethuraman, a data engineer, bridges AI theory and practice with research on continuous learning and neural ...

MIT researchers designed a computationally efficient algorithm for machine learning with symmetric data that also requires fewer data for training than conventional approaches. Their work could inform ...

To keep an SLM relevant and accurate, you still need to feed it fresh, contextual data. That’s where graph technology comes ...

The humble database offers the key to giving AI context and adaptation, accessing data beyond its training cutoff.

“ORNL is leading the AI frontier in science,” Potok concluded. “We are using AI to simulate, predict and accelerate ...

Accurate and efficient traffic speed prediction is crucial for improving road safety and efficiency. With the emerging deep ...

Using this information, the model can then tell us the probability of a drug-protein interaction that we did not previously have in the database, as the algorithms can efficiently analyse large ...