Thinking Machines amps up its bet against one-size-fits-all AI with its first open model, Inkling

It's the company's first public proof point after a year and a half spent building AI infrastructure largely out of public ...
Tech Xplore

Researchers develop key technology to make personalized AI safer

The era of building "personalized AI" by training AI models on individual or corporate documents and data is beginning.
Johns Hopkins Medicine

Machine Learning Method Enables Easier and Wider Use of Martin-Hopkins Equation to Accurately Assess LDL Cholesterol Risk

The Martin-Hopkins equation to assess low-density lipoprotein (LDL) cholesterol levels in blood samples has been used by ...

This new AI model thinks in images, not just words

Google Brain and DeepMind researcher Andrew Dai, believes that learning from, and reasoning about, images is fundamental to rapid intelligence gains.
Tech Xplore

New federated learning algorithm enables private, robust, and fast AI development

Three heads are better than one. Versions of this proverb are found worldwide and throughout history. Yet in the race to ...
Morningstar

Actabl Earns U.S. Patent for Hotel Data Normalization as AI Raises the Stakes on Data Reliability

ATLANTA, May 13, 2026 /PRNewswire/ --Actabl, the leading hospitality software company dedicated to empowering hotels with actionable insights to drive profit, today announced it has been granted a U.S ...
Global Times

Chinese researchers developed world's first 'dual-loop' non-invasive BCI system, achieving breakthrough in human-machine mutual learning

Chinese researchers from the Tianjin University (TJU) and Tsinghua University have collaborated to develop the world's first "dual-loop" non-invasive brain-computer interface (BCI) system, marking a ...
Semiconductor Engineering

Normalization Keeps AI Numbers In Check

AI training and inference are all about running data through models — typically to make some kind of decision. But the paths that the calculations take aren’t always straightforward, and as a model ...
IEEE

When to Use Standardization and Normalization: Empirical Evidence From Machine Learning Models and XAI

Abstract: Optimizing machine learning (ML) model performance relies heavily on appropriate data preprocessing techniques. Despite the widespread use of standardization and normalization, empirical ...