Results 131 to 140 of about 205,842 (264)

Inference Gap in Domain Expertise and Machine Intelligence in Named Entity Recognition: Creation of and Insights from a Substance Use-related Dataset. [PDF]

Pac Symp Biocomput
Dey SK, Powell JM, Ismail A, Perrone J, Sarker A.   +4 more
europepmc   +1 more source

Machine Intelligence

IJARCCE, 2020
Matthew N. O. Sadiku, Damilola S. Adesina, Sarhan M. Musa   +2 more
openaire   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

The Adimension: bridging human ingenuity and machine intelligence through the DEITY principles framework. [PDF]

Eur Heart J Imaging Methods Pract
Anwer S.
europepmc   +1 more source

Machine intelligence for individualized decision making under a counterfactual world: A rejoinder. [PDF]

J Am Stat Assoc, 2021
Cui Y, Tchetgen ET.
europepmc   +1 more source

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll, Ivan Pinto‐Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll, Payam Habibzadeh Kavkani, Maria Chiara Spadaro, Yann‐Michel Niquet, Martin Børstad Eriksen, Sara Martí‐Sánchez, Georgios Katsaros, Giordano Scappucci, Peter Krogstrup, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Pablo Ordejón, Stephan Roche, Vincenzo Grillo, Jordi Arbiol   +19 more
wiley   +1 more source

Ayu: a machine intelligence tool for identification of extracellular proteins in the marine secretome. [PDF]

Nat Commun
Zaragoza-Solas A, Baltar F.
europepmc   +1 more source

Machine Intelligence in Single-Cell Data Analysis: Advances and New Challenges. [PDF]

Front Genet, 2021
Liu J, Fan Z, Zhao W, Zhou X.
europepmc   +1 more source

Transistor‐Level Activation Functions via Two‐Gate Designs: From Analog Sigmoid and Gaussian Control to Real‐Time Hardware Demonstrations

Advanced Materials, EarlyView.
Screen gate‐based transistors are presented, enabling tunable analog sigmoid and Gaussian activations. The SA‐transistor improves MRI classification accuracy, while the GA‐transistor supports precise Gaussian kernel tuning for forecasting. Both functions are implemented in a single device, offering compact, energy‐efficient analog AI processing ...
Junhyung Cho, Youngmin Han, Won Woo Lee, Youngwoo Yoo, Kannan Udaya Mohanan, Chang‐Hyun Kim, Junhwan Choi, Young‐Joon Kim, Wonjun Shin, Hocheon Yoo   +9 more
wiley   +1 more source

Toward bridging the gap between machine intelligence and machine wisdom: Dilemmas and conjectures. [PDF]

Innovation (Camb)
Wang R, Liu S, Fan C, Li G, Huang J, Liu Z, Zhou G.   +6 more
europepmc   +1 more source