Results 131 to 140 of about 8,368,743 (296)
Towards High Precision Text Generation
Presented online on November 11, 2020 at 11:15 p.m.Ankur is a Research Scientist at Google NYC and his primary interests are in natural language processing and machine learning. Ankur received his PhD from Carnegie Mellon in 2015 (advised by Prof.
Parikh, Ankur
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Using Machine Learning (ML) Models to Predict Risk of Venous Thromboembolism (VTE) Following Spine Surgery. [PDF]
Katiyar P +4 more
europepmc +1 more source
Covalent Functionalization of 2D Semiconductors: A Roadmap to Advanced Electronic Devices
This Review presents recent advances in the covalent functionalization strategies for two‐dimensional semiconductors and their implementation in modern technologies. Layered materials are modified through diverse molecular chemistries (e.g., thiols, diazonium salts, alkyl halides, and electron‐deficient species) to tailor their surface properties ...
Ramiro Quirós‐Ovies +2 more
wiley +1 more source
A proficiency assessment of integrating machine learning (ML) schemes on Lahore water ensemble. [PDF]
Shahid N.
europepmc +1 more source
Rapid thermal annealing reconstructs the BCFO/Nb:STO interface into an atomically thin reconstructed interfacial layer, which reshapes the tunneling barrier and converts a high‐TER ferroelectric tunnel junction into an intrinsically nonlinear, self‐rectifying device.
Hojin Lee +21 more
wiley +1 more source
Beyond multi-class – structured learning for machine translation
In this thesis, we explore and present machine learning (ML) approaches to a particularly challenging research area – machine translation (MT). The study aims at replacing or developing each component in the MT system with an appropriate discriminative ...
Ni, Y, Ni, Yizhao
core +1 more source
Nitride MXenes remain constrained by a persistent gap between computational prediction and experimental realization. This Review identifies the thermodynamic, kinetic, and chemical barriers limiting their synthesis, critically evaluates emerging fabrication routes, and proposes a multidimensional computational‐experimental framework to accelerate the ...
Naresh Varnakavi, Masoud Soroush
wiley +1 more source
Printed negative‐dielectric‐anisotropy liquid‐crystal droplets enable multidimensional full‐vectorial optical‐field sensing across polarization, phase, and wavelength, while also generating tunable skyrmionic‐like complex optical fields. ABSTRACT Adaptive manipulation of vectorial optical fields is important for optical metrology, imaging, and ...
Jinge Guo +14 more
wiley +1 more source
Data-Driven Dialogue Systems: Models, Algorithms, Evaluation, and Ethical Challenges
Presented on February 22, 2018 in the Klaus Advanced Computing Building, Atrium, Georgia Tech.Joelle Pineau, Associate Professor of Computer Science at McGill University and Co-director of the Reasoning and Learning Lab.ML@GT Spring Lecture Event.Runtime:
Pineau, Joelle
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Applications of machine learning and deep learning in musculoskeletal medicine: a narrative review
Artificial intelligence (AI), with its technologies such as machine perception, robotics, natural language processing, expert systems, and machine learning (ML) with its subset deep learning, have transformed patient care and administration in all fields
Martina Feierabend +5 more
doaj +1 more source

