As clinical drug development becomes more complex and resource-intensive, the FDA’s recent draft guidance on the use of Bayesian statistical methods in clinical trials signals a move toward more ...

Articulate the need for computational approaches, such as Markov chain Monte Carlo (MCMC) algorithms, to Bayesian inference. Implement various MCMC algorithms to find posterior distributions, ...

The Multi-source Probabilistic Inference (MUPI) research group studies statistical machine learning and artificial intelligence. We develop new methods and algorithms for coping with uncertainty in ...

Abstract: In this paper, we study the stochastic state trajectory and conductance distributions of memristors under periodic pulse excitation. Our results, backed by experimental evidence, reveal that ...

Abstract: Autonomous robot navigation in complex environments requires robust perception as well as high-level scene understanding due to perceptual challenges, such as occlusions, and uncertainty ...

Stats expert Tim Swartz uses 'spatiotemporal data' to figure out which throw-ins, corners and free kicks lead to wins ...

Aether AI, founded by UCSD professor Biwei Huang, closed a $20 million seed round on June 18, 2026 to build causal world models that understand cause-and-effect relationships rather than statistical ...

The next phase of AI infrastructure will not be defined by a single destination called “the cloud” or “the edge.” ...

Pacific island nations suffered severe depopulation from introduced diseases as a consequence of contact with European vessels, a new study shows. The research indicates population declines were a lot ...

Shares of SpaceX climbed on Monday, their first full day of trading after jumping 20% in their debut on Friday. SpaceX completed the biggest IPO in history, raising $75 billion before underwriters ...