Balaji Bodicherla's insights into data modeling innovations highlight the transformative impact of structured CRM ...

This will allow for parameters in JSON format to be automatically available for EtherNet/IP network-capable devices.

MULGONET combines deep learning and multi-omics analysis to predict tumor recurrence, addressing interpretability and ...

An IEEE study introduces a new recommendation model that combines knowledge graphs and contrastive learning to solve cold-start and sparse data ...

Glycolysis is an ancient metabolic activity. It consists of a set of reactions that convert glucose into energy. This central ...

One notable missing feature in most ANN models is top-down feedback, i.e. projections from higher-order layers to lower-order layers in the network. Top-down feedback is ubiquitous in the brain, and ...

When exploring their surroundings, communicating with others and expressing themselves, humans can perform a wide range of body motions. The ability to realistically replicate these motions, applying ...

The return of Redis creator Salvatore Sanfilippo has borne fruit in the form of a new data type - vector sets - for the ...

The evolution of artificial intelligence (AI) continues to push boundaries, captivating the collective imagination of ...

Edge AI represents a revolutionary leap in artificial intelligence deployment, bridging the gap between computational power ...

The level sensor addition improves interoperability and preparation of data for edge and cloud analytics, while the new pull model for CIP Security eases device replacement ...

Today AlloyDB is being expanded with integration with Google’s Agentspace, which is also making its debut at the Google Cloud Next event. Perhaps more interestingly, though, is the new AI query engine ...