Imagine you are developing antibodies—drugs precisely aimed at a target, for example a viral protein or onco-marker. You test a series of antibodies and find that some work, while others do not.

The AI models, which are built on massive datasets and can be adapted to multiple tasks, have become a part of medtech ...

AI is reshaping brand engagement, but its effectiveness relies on high-quality, curated data, a significant challenge for ...

In the rapidly evolving field of computational intelligence, there is a pressing demand for advanced tools and algorithms ...

Co-authored by Shamnad Mohamed Shaffi of Amazon Web Services, Sunish Vengathattil of Clarivate Analytics, and Jinal Mehta of Amazon, the study explores how a cutting-edge data lakehouse architecture ...

Leidos VP Rob Linger warns data silos, misinformation and adversarial AI are major hurdles to U.S. information superiority in ...

A comprehensive Model Context Protocol (MCP) server providing advanced access to the UniProt protein database. This server offers 26 specialized bioinformatics tools enabling AI assistants and MCP ...

Embrace city science as a vital partner in architecture, merging creativity with data to build resilient and equitable urban ...

Tessell, the multi-cloud DBaaS platform that powers the full database lifecycle, today announced its recognition as a Cool Vendor in the 2025 Gartner Cool Vendors in Data Management: The ‘Modern Data ...

In a blog post shared Wednesday, Mira Murati's startup offered a rare glimpse into some of work its doing to improve AI ...

Abstract: Spatially resolved transcriptomics represents a significant advancement in single-cell analysis by offering both gene expression data and their corresponding physical locations. However, ...

Abstract: Confidence calibration in classification models is a vital technique for accurately estimating the posterior probabilities of predicted results, which is crucial for assessing the likelihood ...