How 2025 Recalibrated AI Models Race

In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...

Automatic label checking: The missing step in making medical AI reliable

Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...

How AI coding agents work—and what to remember if you use them

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
Tech Xplore

Multi-agent AI could change everything—if researchers can figure out the risks

You might have seen headlines sounding the alarm about the safety of an emerging technology called agentic AI.

What is the Difference Between Deep Learning and Machine Learning

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.
Cloud Security Alliance

How to Build AI Prompt Guardrails: An In-Depth Guide for Securing Enterprise GenAI

A practical guide to building AI prompt guardrails, with DLP, data labeling, online tokenization, and governance for secure ...
The Conversation

What are small language models and how do they differ from large ones?

Lin Tian receives funding from the Advanced Strategic Capabilities Accelerator (ASCA) and the Defence Innovation Network. Marian-Andrei Rizoiu receives funding from the Advanced Strategic Capabilities ...
The Conversation

Climate action saves lives. So why do climate models ignore wellbeing?

Inge Schrijver's PhD is part of the WISE Horizons project, which is funded by Horizon Europe (grant number 101095219). Paul Behrens receives funding from The British Academy and REAPRA. Rutger ...
Medical Xpress

AI model predicts drug toxicity using differences between animal models and humans

In the UK, there was a case where TGN1412, an immunotherapy under development, triggered a cytokine storm within hours of administration to humans, leading to multiple organ failure. Another example, ...
IEEE

Refactoring Prediction using Multi-label Classification Approach

Abstract: Refactoring is the process of restructuring existing source code to improve its internal structure without altering its external behavior. Refactoring is essential to maintaining software ...
IEEE

Predictive Modeling of Multi-Label Enzyme Substrate Using Machine Learning

Abstract: Enzymes play a critical role in catalyzing biochemical reactions, and accurately predicting their substrate specificity is essential for applications in drug discovery, metabolic engineering ...