Science

MCMC and importance sampling are two common techniques for Bayesian sampling. MCMC uses a Markov chain to generate samples from a target distribution, while importance sampling uses a proposal distribution to generate samples and weights them to obtain samples from the target distribution. Both techniques aim to approximate the target distribution by generating many samples … Read more

Incremental amount of improvement, also known as Kaizen, involves making small, gradual enhancements over time. This approach recognizes that continuous improvement is an ongoing journey, where individuals and organizations strive to identify and eliminate waste, improve efficiency, and achieve better results. By breaking down improvements into smaller, manageable steps, Kaizen encourages consistent efforts and helps … Read more

An ambiguous pronoun is a pronoun whose antecedent, the noun or phrase to which it refers, is unclear or ambiguous. Pronoun reference refers to the relationship between a pronoun and its antecedent, and when an ambiguous pronoun is used, the reader or listener may be unsure which antecedent the pronoun is referring to. Ambiguous pronouns … Read more

NLP ontologies enable the identification of entities with high closeness scores, which are entities with strong semantic relationships. AI and NLP techniques leverage ontologies such as WordNet, FrameNet, VerbNet, PropBank, OntoNotes, BioNLP, and ChemOnto to understand the context and identify entities with high closeness scores. These entities find applications in natural language generation, question answering, … Read more

Game of Semantics is a concept that analyzes the closeness of entities, including their properties and interrelationships. Through theories and frameworks, it explains how entities exhibit different levels of closeness (from high to moderate). The analysis has practical applications in various fields, such as information retrieval and knowledge representation. By understanding the limitations and future … Read more

Lexical choice refers to the deliberate selection of words in a language. It involves considering the vocabulary available, the semantic meaning of words, and the pragmatic factors influencing word choice, such as audience and purpose. Lexical choice shapes communication by conveying specific meanings, emotions, and tones, and it finds applications in various fields, including computational … Read more

Conceptual adaptation using semantics AI empowers organizations to seamlessly convert abstract concepts into precise, computer-understandable representations. Semantics AI leverages the power of semantics to capture the meaning and interconnections within knowledge, ensuring accurate and consistent interpretation by machines. This adaptation process lays the foundation for robust knowledge management and efficient utilization of vast knowledge resources. … Read more

Understanding Sensors and the Sensory System explores the mechanisms by which our senses perceive and interpret stimuli. It delves into the structure and function of sensory organs, receptors, nerves, and cortices, explaining how they convert stimuli into electrical signals and send them to the brain for processing and interpretation. The book also discusses sensory adaptation, … Read more

Charlie Riggs, a prominent businessman and philanthropist, has a deep connection to Bentley University. His legacy at the university is marked by his significant contributions through the Charlie Riggs Bentley University Scholarship Ceremony and the Charlie Riggs Bentley University Deed of Gift. These philanthropic gestures have supported students and enhanced the university’s mission of providing … Read more

Zhong Lin Wang, a leading researcher at Binghamton University, leads innovative research in materials science and engineering. The university’s research units, including the Thomas J. Watson College of Engineering and Applied Science, have partnered with institutions like IBM and Samsung to advance materials research. Their breakthroughs in nanotechnology, flexible electronics, and energy storage have shaped … Read more

Dapeng Li of Princeton University: Dapeng Li is a Professor of Electrical Engineering and Computer Science at Princeton University. His close collaborations with Princeton, including Eva Tardos and Yishay Mansour, have produced seminal research in Theoretical Computer Science, Machine Learning, Complexity Theory, and Algorithms. His work on Max Cut and Correlation Clustering, Regular Expression Patterns, … Read more

Princeton University, through its Program in Democracy and Citizenship (PDRC), fosters a deep commitment to democratic principles. The PDRC, under the leadership of an esteemed director, is a hub for research and teaching in the field, with esteemed faculty and staff. The Office of the Dean of the College and Princeton Residential College further support … Read more