machine learning

Taking The Complexity Out Of Artificial Intelligence And Machine Learning

No-code artificial intelligence places previously complex machine learning technology within the reach of smaller organizations—accelerating innovation and sparking growth in start-ups and SMEs.

wearable devices, depression risk

Watching Out For Depression Risk

Scientists from Singapore have developed a machine learning program to predict depression risk based on vital signs tracked by wearables.

The Maverick Who Gave Machines The Gift Of Sight

Professor Kunihiko Fukushima took inspiration from the biological brain to create one of the first artificial neural networks. Here’s how he continues to advance the world of artificial intelligence.

Mining Microalgae To Reduce Carbon Emissions

A new machine learning-powered method is speeding up how scientists study microalgal cell factories and their carbon cycling functions.

A Model Way Of Analyzing University Performance

Graduate employability is associated with high levels of research intensity and internationalization at universities, according to a mathematical model developed by Filipino scientists.

Automating The Evolution Of Antimicrobial Resistance

To deepen their understanding of antimicrobial resistance, researchers have developed a robotic system that could evolve bacteria in bulk after exposure to different antibiotics.

Asia’s Rising Scientists: Manik Varma

In a world run by algorithms, Dr. Manik Varma is taking machine learning to its extremes.

AI Boosts Biomaterials Design

Machine learning can now predict the properties of hypothetical materials with great accuracy, paving the way for AI-enabled materials design.

Machine Learning Enhances Mental Illness Diagnosis

By combining machine learning with brain imaging, scientists have developed a way to differentiate different kinds of mental illnesses based on MRI scans.

Building Trust In Artificial Intelligence

Artificial intelligence is at an inflection point, writes BasisAI CEO Liu Feng-Yuan, and its widespread adoption depends on whether society can place its trust in it.