MASLD is prevalent in T2DM patients, with a 65% occurrence rate, and poses a higher risk for severe liver diseases. The study analyzed 3,836 T2DM patients, identifying key predictors like BMI, ...

Ford engineers are studying whether AI can play a role in detecting faulty run-downs. To do that, they first had to determine ...

An overview of attention detection using EEG signals, which includes six steps: an experimental paradigm design, in which the task and the stimuli are defined and presented to the subjects; EEG data ...

The study analyzed 121 short videos as part of a small dataset to distinguish between truthful and deceptive conversations. Scientists have revealed that Convolutional Neural Networks (CNNs), a type ...

A research team led by the University of Sharjah in the United Arab Emirates has developed a novel machine learning approach for fault detection in bifacial PV systems. The method combines a ...

Launching a digital wallet today involves far more than enabling payments. As the digital wallet trends 2026 show high adoption of digital wallets, so do the challenges like increasingly sophisticated ...

The German deeptech startup combines nanotechnology, optical sensing, biotechnology, and machine learning to cut dangerous ...

The financial sector's embrace of machine learning has reached a critical inflection point in 2026. While AI has become the cornerstone of fraud detection and algorithmic trading, a new stress test is ...

MAS is conducting a proof-of-value (POV) exercise to explore the use of AI and machine learning in pre-emptive scam detection ...

According to details disclosed in Annexure-A of the filing, the total consideration for the contract stands at Rs ...