Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...

For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...

Overview:  Bigger models don’t automatically perform better in supply chains. For routine operations like inventory checks, ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

As with gas cars, efficiency is key for EVs. The less energy you use, measured in kilowatt-hours (kWh), the less you pay. To ...

The global data ecosystem has now entered a decisive phase as organisations rethink how information is processed, stored, and ...

Instructed Retriever leverages contextual memory for system-level specifications while using retrieval to access the broader ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...

Is the inside of a vision model at all like a language model? Researchers argue that as the models grow more powerful, they ...

According to TII’s technical report, the hybrid approach allows Falcon H1R 7B to maintain high throughput even as response ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...