Recent research is advancing seismic hazard modeling through AI-driven soil liquefaction prediction, interpretable machine learning, physics-based simulations, and waveform-based probabilistic ...

A new article proposes a simple and effective hybrid generative model that can predict unseen domain boundaries in synthesized materials with limited observations, without the need for expensive ...

Researchers have developed an easy-to-use tool that enables someone to perform complicated statistical analyses on tabular data using just a few keystrokes. Their method combines probabilistic AI ...

Researchers at Tohoku University and the University of California, Santa Barbara, have developed new computing hardware that utilizes a Gaussian probabilistic bit made from a stochastic spintronics ...

In this episode of eSpeaks, Jennifer Margles, Director of Product Management at BMC Software, discusses the transition from traditional job scheduling to the era of the autonomous enterprise. eSpeaks’ ...

When it comes to the dynamic world of technology, generative artificial intelligence is one of the most significant advancements. We are rethinking creativity, problem-solving and even interactions ...

National University of Singapore (NUS) scientists have utilised generative machine learning models to explore the different methods in which atoms between adjacent crystals in a piezoelectric material ...

CAMBRIDGE, MA — A new tool makes it easier for database users to perform complicated statistical analyses of tabular data without the need to know what is going on behind the scenes. GenSQL, a ...