Results 121 to 130 of about 14,062 (252)

An Integrated Framework Coupling Hierarchical Hyperspectral i‐trait Screening, Gene Identification, and Functional Validation for Genetic Dissection of Salt Tolerance in Cotton

Advanced Science, EarlyView.
An integrated phenomics–genomics framework captures dynamic salt‐stress responses in laboratory‐grown cotton seedlings through time‐series hyperspectral imaging and non‐destructive i‐trait extraction. Hierarchical screening identifies biologically relevant, heritable, and non‐redundant traits for high‐resolution GWAS, identifying GhST7.
Bowei Xu, Le Liu, Mengli Yu, Yuling Guo, Junli Ye, Jun Zhang, Rumeng Zhao, Jiajie Yang, Wanneng Yang, Yameng Xu, Liqiang Fan, Zuoren Yang   +11 more
wiley   +1 more source

Disrupted Top‐Down Modulation as a Mechanism of Impaired Multisensory Processing in Autistic Children

Advanced Science, EarlyView.
In this work, we show that multisensory integration in autistic children is characterized by attenuated ERP responses and α‐band desynchronization, together with reduced theta‐band communication between parieto‐occipital and frontal regions. The intermediate neural profile observed in unaffected siblings raises the possibility that altered cortical ...
Theo Vanneau, John J. Foxe, Shlomit Beker, Sophie Molholm   +3 more
wiley   +1 more source

From the primordial soup to self-driving cars: standards and their role in natural and technological innovation. [PDF]

J R Soc Interface, 2016
Wagner A, Ortman S, Maxfield R.
europepmc   +1 more source

Automatic Self Driving Car

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
This project deals with building an autonomous car that can travel safely and intelligently avoiding the risk of human errors. This raspberry Pi based project can detect the obstacles & traffic light. It can compare the data processed with the data provided to it and is able to take an intelligent decision whether to stop or continue its present ...
openaire   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

Explainable deep learning improves human mental models of self-driving cars. [PDF]

Nature
Kenny EM, Dharmavaram A, Lee SU, Phan-Minh T, Rajesh S, Hu Y, Major L, Tomov MS, Shah JA.   +8 more
europepmc   +1 more source

Self-Driving Car Pros

Self-driving automobiles have garnered a lot of interest lately. Real-time object detection is one of the most significant features of their perception system. A significant barrier to the development of safe and efficient selfdriving cars is the accurate and timely detection of objects in a variety of complex traffic situations. 
A. Y. Abdullahi, M. A. Baballe
openaire   +1 more source

Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization

Advanced Electronic Materials, EarlyView.
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali, David Lehninger, Florencio Sánchez, Ignasi Fina   +3 more
wiley   +1 more source

Federated Learning Authenticity Standard for Healthcare as derived from lessons in self-driving cars. [PDF]

Commun Med (Lond)
Santos R, Keane PA.
europepmc   +1 more source

Rational Expectations and Market Timing: An Event Study of the China–United States Phase One Trade Deal

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Rational actors constantly incorporate information into their decision‐making behavior. Since there is often a time lag between the announcement of a policy and its implementation, an important question arises: when do rational actors incorporate new information into their market behavior, at the announcement or at the implementation of a ...
Tim Ölkers, Oliver Mußhoff
wiley   +1 more source