In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...

As organizations race to operationalize AI agents across critical workflows, performance alone is no longer enough--enterprises must also understand, validate, and govern how those systems arrive at ...

The Ghana Atomic Energy Commission (GAEC) is positioning Ghana at the forefront of Africa’s technological transformation by advancing the strategic use of Artificial Intelligence (AI) across key ...

The frequency of substance use, early age of initiation, and cannabis-related memory impairments are among the primary factors contributing to driving under the influence, according to a new analysis ...

The spatio-temporal evolution of wall-bounded turbulence is characterized by high nonlinearity, multi-scale dynamics, and chaotic nature, making its accurate prediction a significant challenge for ...

Scientists usually study the molecular machinery that controls gene expression from the perspective of a linear, two-dimensional genome—even though DNA and its bound proteins function in three ...

The database of 200 million protein-structure predictions now includes homodimers, adding new biological relevance.

Rapid advances in artificial intelligence, machine learning, and data-driven computational modeling have opened unprecedented opportunities to transform ...

As artificial intelligence begins to mimic consciousness with uncanny skill, we need design norms and laws that prevent it from being mistaken for sentient beings.

This hands-on PoC shows how I got an open-source model running locally in Visual Studio Code, where the setup worked, where it broke down, and what to watch out for if you want to apply a local model ...

I should begin with a confession: this letter was written by an artificial intelligence. Now, before you reach for the “cancel” button or send a heated e-mail, let me clarify. This letter wasn’t ...

A new collaboration between EMBL's European Bioinformatics Institute (EMBL-EBI), Google DeepMind, NVIDIA, and Seoul National University has made millions of AI-predicted protein complex structures ...