Results 61 to 70 of about 90,486 (306)

Dialectical Multivalued Logic and Probabilistic Theory

open access: yesMathematics, 2017
There are two probabilistic algebras: one for classical probability and the other for quantum mechanics. Naturally, it is the relation to the object that decides, as in the case of logic, which algebra is to be used.
José Luis Usó Doménech   +2 more
doaj   +1 more source

Engineering CAR‐T Therapeutics for Enhanced Solid Tumor Targeting

open access: yesAdvanced Materials, EarlyView.
CART cell therapy has proven effective for blood cancers but struggles with solid tumors due to diverse antigens and complex environments. Recent efforts focus on improving CAR design and validation platforms. Advances in protein engineering, machine learning, and organoid systems aim to enhance CAR‐T therapy against solid tumors.
Danqing Zhu   +4 more
wiley   +1 more source

Women online: A study of Common Service Centres in India using a capability approach

open access: yesAsia &the Pacific Policy Studies, Volume 9, Issue 3, Page 268-287, September 2022., 2022
Abstract Income‐generating activities by women are an effective means of reducing gender‐based deprivation and disparities. In the constrained familial and community settings of developing economies, online platforms can be an appropriate means for women to carry out economic activities. In this context, important initiatives taken by the Government of
Meenakshi Rajeev, Supriya Bhandarkar
wiley   +1 more source

Probabilistic Description Logics [PDF]

open access: yes, 1994
Appears in Proceedings of the Tenth Conference on Uncertainty in Artificial Intelligence (UAI1994)
openaire   +3 more sources

Probabilistic logic learning [PDF]

open access: yesACM SIGKDD Explorations Newsletter, 2003
The past few years have witnessed an significant interest in probabilistic logic learning, i.e. in research lying at the intersection of probabilistic reasoning, logical representations, and machine learning. A rich variety of different formalisms and learning techniques have been developed.
Luc De Raedt, Kristian Kersting
openaire   +2 more sources

Synthetic Active Liquid Crystals Powered by Acoustic Waves

open access: yesAdvanced Materials, EarlyView.
A fully synthetic active liquid crystal, energized by an acoustic field, is presented. This system exhibits active nematic behavior, tunable topological defect dynamics, and persistent hydrodynamic vortices at high activity levels. The material maintains stable properties while enabling precise activity control in a wide range.
Andrey Sokolov   +3 more
wiley   +1 more source

Transforming Healthcare: Intelligent Wearable Sensors Empowered by Smart Materials and Artificial Intelligence

open access: yesAdvanced Materials, EarlyView.
Wearable sensors, empowered by AI and smart materials, revolutionize healthcare by enabling intelligent disease diagnosis, personalized therapy, and seamless health monitoring without disrupting daily life. This review explores cutting‐edge advancements in smart materials and AI‐driven technologies that empower wearable sensors for diagnostics and ...
Shuwen Chen   +14 more
wiley   +1 more source

Integrating probabilistic logic and multimodal spatial concepts for efficient robotic object search in home environments

open access: yesSICE Journal of Control, Measurement, and System Integration, 2023
Our study introduces a novel approach that combined probabilistic logic and multimodal spatial concepts to enable a robot to efficiently acquire place–object relationships in a new home environment with few learning iterations.
Shoichi Hasegawa   +4 more
doaj   +1 more source

Experimental Demonstration of Probabilistic Spin Logic by Magnetic Tunnel Junctions [PDF]

open access: yes, 2019
The recently proposed probabilistic spin logic presents promising solutions to novel computing applications. Multiple cases of implementations, including invertible logic gate, have been studied numerically by simulations. Here we report an experimental demonstration of a magnetic tunnel junction-based hardware implementation of probabilistic spin ...
arxiv   +1 more source

A Logic For Inductive Probabilistic Reasoning [PDF]

open access: yesSynthese, 2005
Inductive probabilistic reasoning is understood as the application of inference patterns that use statistical background information to assign (subjective) probabilities to single events. The simplest such inference pattern is direct inference: from '70% of As are Bs" and "a is an A" infer that a is a B with probability 0.7.
openaire   +3 more sources

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