Artificial intelligence (AI) is rapidly transforming how scientific research is conducted, from accelerating model development to uncovering novel drug discovery pathways. However, with every promise ...

Overall, the application of the Variational Autoencoder not only enhances the analytical capabilities of quantum simulations but also offers new perspectives for understanding the physical properties ...

Governments have the right to decide how to spend money on science. Modelling shows that making instant cuts to grants ...

In the age of digital transformation, machine learning (ML) is rapidly becoming a pivotal technology in various sectors. One of ...

The next frontier of innovation isn’t about high-profile tech rollouts; it’s about seamlessly integrating tech into daily ...

Young workers should develop their "learning skills" so they can adapt to the job market's needs, Cambridge professor Thomas ...

Despite a surge in generative AI use across workplaces, most companies are seeing little measurable ROI. One possible reason ...

Researchers at Seoul National University and Kyung Hee University report a framework to control collective motions, such as ring, clumps, mill, flock, by training a physics-informed AI to learn the ...

Believing artificial intelligence is magic is just as baseless as believing photographs can capture spirits. That’s not ...

Businesses across industries have been betting big on AI in the workplace—but the results have been, frankly, underwhelming.

Artificial intelligence has reached a point where it can produce text that feels natural, confident, and convincing. But, behind the polished text, there is a growing problem that researchers now call ...