Results 251 to 260 of about 495,121 (361)

On artificial intelligence in healthcare. [PDF]

Indian J Ophthalmol
Venkatesh P.
europepmc   +1 more source

Statistical Complexity of Quantum Learning

Advanced Quantum Technologies, EarlyView.
The statistical performance of quantum learning is investigated as a function of the number of training data N$N$, and of the number of copies available for each quantum state in the training and testing data sets, respectively S$S$ and V$V$. Indeed, the biggest difference in quantum learning comes from the destructive nature of quantum measurements ...
Leonardo Banchi, Jason Luke Pereira, Sharu Theresa Jose, Osvaldo Simeone   +3 more
wiley   +1 more source

Fully automatic extraction of morphological traits from the web: Utopia or reality? [PDF]

Appl Plant Sci
Marcos D, van de Vlasakker R, Athanasiadis IN, Bonnet P, Goëau H, Joly A, Kissling WD, Leblanc C, van Proosdij ASJ, Panousis KP.   +9 more
europepmc   +1 more source

Open and Closed Loop Approaches for Energy Efficient Quantum Optimal Control

Advanced Quantum Technologies, EarlyView.
Concepts from quantum thermodynamics and optimal control are blended to derive a theoretical framework to quantify and minimize the energetic cost of a pulse for unitary synthesis. Two complementary techniques (based on GRAPE and Reinforce‐DRL) are implemented as open‐source software that co‐optimizes the fidelity and energetic cost within quantum ...
Sebastiaan Fauquenot, Aritra Sarkar, Sebastian Feld   +2 more
wiley   +1 more source

A Current Review of Generative AI in Medicine: Core Concepts, Applications, and Current Limitations. [PDF]

Curr Rev Musculoskelet Med
Rouzrokh P, Khosravi B, Faghani S, Moassefi M, Shariatnia MM, Rouzrokh P, Erickson B.   +6 more
europepmc   +1 more source

Q‐fid: Quantum Circuit Fidelity Improvement with LSTM Networks

Advanced Quantum Technologies, EarlyView.
Q‐fid is introduced, an LSTM‐based fidelity prediction system accompanied by a novel metric designed to quantify the fidelity of quantum circuits. This approach frames fidelity prediction as a Time Series Forecasting problem to analyze the tokenized circuits, capturing the causal dependence of the gate sequences and their impact on overall fidelity ...
Yikai Mao, Shaswot Shresthamali, Masaaki Kondo   +2 more
wiley   +1 more source

PhotoNeuro: A compact photodetector for synchronization of visual stimulus presentation during behavioral experiments in neuroscience

Ferrer XC, Moglie M, Konstantinou G, Blot A, Bianchini G, Imbert A, Znamenskiy P, Iacaruso MF.   +7 more
europepmc   +1 more source

Tiny Language Models for Automation and Control: Overview, Potential Applications, and Future Research Directions. [PDF]

Sensors (Basel)
Lamaakal I, Maleh Y, El Makkaoui K, Ouahbi I, Pławiak P, Alfarraj O, Almousa M, Abd El-Latif AA.   +7 more
europepmc   +1 more source

Algorithms and hardware description languages in railway interlocking logic design

, 2015
P. Kawalec, M. Rżysko
openalex   +1 more source

A Smart Camera With Integrated Deep Learning Processing for Disease Detection in Open Field Crops of Grape, Apple, and Carrot

Journal of Field Robotics, EarlyView.
ABSTRACT Downy mildew (Plasmopara), apple scab (Venturia inaequalis), and Alternaria leaf blight are endemic diseases that affect crops worldwide. The diseases can cause severe losses in grapes, apples and carrots when not detected and treated in an early stage.
Gerrit Polder, Pieter M. Blok, Tim van Daalen, Joseph Peller, Nikos Mylonas   +4 more
wiley   +1 more source