Qdrant's $50M Series B and version 1.17 release make the case that agentic AI didn't simplify vector search — it scaled the ...

Whether you are looking for an LLM with more safety guardrails or one completely without them, someone has probably built it.

Here’s a quick look at 19 LLMs that represent the state-of-the-art in large language model design and AI safety—whether your goal is finding a model that provides the highest possible guardrails or ...

Trained on 9 trillion DNA base pairs from every domain of life, the Evo 2 model can predict disease-causing mutations, ...

What Is Safety Data Overload in Pharmacovigilance?Safety data overload in pharmacovigilance refers to the situation where drug‑safety teams are inundated with an ever‑increasing volume of individual ...

IdentityCare introduces a biometric primary credential platform designed to support Zero-Trust architecture, privacy-preserving verification, and post-quantum security ...

The Cabinet of Ministers of Ukraine has launched an experimental project that grants partners access to train AI models for unmanned systems using real battlefield data, announced Prime Minister Yulia ...

AI models are transforming catalyst discovery by combining databases with machine learning and language models, enabling ...

Artificial intelligence (AI) is transforming the way scientists discover and design new materials. In a specially invited review published in Angewandte Chemie International Edition, Tohoku University ...

Data strategy competitive advantage depends on a proprietary knowledge base of internal and external data powering predictive models.

Large Language Models (LLMs) have transformed natural language processing, but their limitations, such as fixed training data and lack of real-time updates, pose challenges for certain applications.

Modern software increasingly depends on data structures that go far beyond basic arrays and trees. Some of the most powerful systems rely on designs that rarely appear in traditional programming ...