The research began as a scientific test of whether subtle changes in pupil dilation and eye movement could reveal deception as reliably as a polygraph.
In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...
MicroCloud Hologram Inc. (NASDAQ: HOLO), (HOLO or the Company), a technology service provider, proposed a quantum intelligent interconnected fault-tolerant consensus algorithm that deeply integrates q ...
An intelligent tax administration framework integrates data standardization, automated workflows, and dynamic risk modeling to enhance fraud detection in digital environments. By combining machine ...
How many fossils does it take to accurately train an image-based AI algorithm? According to a new study, the answer is much ...
Overview: LinkedIn in 2026 is more than a resume platform, it’s a visibility engine powered by AI-driven search and engagement algorithms.Success depends on pro ...
These trailblazers are not just managing businesses they are shaping industries, empowering communities and creating long ...
AI can transform healthcare, but risks remain: liability, bias, blurred “wellness vs medicine,” and jagged model errors.
No body, no dopamine, no problem. Scientists have successfully coached lab-grown brain tissue to solve a classic robotics challenge, proving that the will to learn is hardwired into our neurons.
Imagine balancing a ruler vertically in the palm of your hand: you have to constantly pay attention to the angle of the ruler and make many small adjustments to make sure it doesn't fall over. It ...