Abstract: Following the Bayesian inference framework, this article investigates the problem of distributed particle filtering over a sensor network to achieve consensus. The objective of the posterior ...
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.” ...
Learning from potential disinformation introduces specific cognitive biases, causing individuals to systematically deviate from an idealized Bayesian updating strategy.
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
Abstract: The inherent nonuniqueness problem challenges acoustic impedance inversion, and thus it is meaningful to explore the possible solutions via advanced strategies, e.g., incorporating ...
The U.S. Cotton Trust Protocol is implementing forensic verification as part of a new "Physical Assurance Program." This includes a forensic isotopic analysis that will validate the origin of U.S.
This study from Suganthan reveals hidden fields in ChatGPT's network traffic that decide which sources get fetched, cited, or ...
aDepartment of Medicine, Division of Nephrology, University of Alabama at Birmingham, Birmingham, AL, USA bDepartment of Anesthesia and Perioperative Care, Division of Critical Care Medicine, ...
TensorFlow Probability is a library for probabilistic reasoning and statistical analysis in TensorFlow. As part of the TensorFlow ecosystem, TensorFlow Probability provides integration of ...
Find out more about undergraduate study at the School of Electronic Engineering and Computer Science.
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