Kumo has unveiled KumoRFM-2, a next-generation foundation model designed specifically for structured enterprise data—marking ...

Biomedical data analysis has evolved rapidly from convolutional neural network-based systems toward transformer architectures and large-scale foundation ...

Built on a new architecture KumoRFM-2 achieves state-of-the-art results across 41 predictive tasks and four major benchmarks, ...

Enterprise AI startup Kumo is making the case that the next phase of enterprise AI will be shaped by structured and ...

A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously ...

A new study shows that self-supervised artificial intelligence may offer a more practical path for detecting concrete cracks ...

Synthesizing tables—creating artificial datasets that closely resemble real ones—plays a crucial role in supervised machine learning (ML), with a wide range of practical applications. These include ...

A collaborative research group has shown that biological neurons can be trained to perform a temporal pattern learning task ...

Researchers trained living neuronal networks to perform temporal learning tasks using a machine learning framework. The ...

There is no doubt that the semiconductor industry is in an era of rapid and profound transformation, driven by an increasing ...