Results 111 to 120 of about 1,693,918 (338)

Critical remarks about a paper on limitations for artificial intelligence [PDF]

, 1978
Erhard Konrad
openalex   +1 more source

Artificial Intelligence and Bioinformatics [PDF]

, 2020
The chapter shines a light on the strong links shared by Artificial intelligence and Bioinformatics since many years. Bioinformatics offers many NP-hard problems that are challenging for Artificial intelligence and we introduce a selection of them to illustrate the vitality of the field and provide a gentle introduction for people interested in its ...
openaire   +3 more sources

NanoMOF‐Based Multilevel Anti‐Counterfeiting by a Combination of Visible and Invisible Photoluminescence and Conductivity

Advanced Functional Materials, EarlyView.
This study presents novel anti‐counterfeiting tags with multilevel security features that utilize additional disguise features. They combine luminescent nanosized Ln‐MOFs with conductive polymers to multifunctional mixed‐matrix membranes and powder composites. The materials exhibit visible/NIR emission and matrix‐based conductivity even as black bodies.
Moritz Maxeiner, Ruben Maile, Murat Cuvalli, Andreas Wolf, Ayisha Komal, Robert Oestreich, Christoph Janiak, Karl Mandel, Alexander Knebel, Klaus Müller‐Buschbaum   +9 more
wiley   +1 more source

Global Precipitation Correction Across a Range of Climates Using CycleGAN

Geophysical Research Letters
Accurate precipitation simulations for various climate scenarios are critical for understanding and predicting the impacts of climate change.
J. McGibbon, S. K. Clark, B. Henn, A. Kwa, O. Watt‐Meyer, W. A. Perkins, C. S. Bretherton   +6 more
doaj   +1 more source

Artificial intelligence at MIT [PDF]

, 1979
Donald Michie
openalex   +1 more source

Integration of Perovskite/Low‐Dimensional Material Heterostructures for Optoelectronics and Artificial Visual Systems

Advanced Functional Materials, EarlyView.
Heterojunctions combining halide perovskites with low‐dimensional materials enhance optoelectronic devices by enabling precise charge control and improving efficiency, stability, and speed. These synergies advance flexible electronics, wearable sensors, and neuromorphic computing, mimicking biological vision for real‐time image analysis and intelligent
Yu‐Jin Du, Junjie Yang, Ziyu Lv, Yongbiao Zhai, Zezhuang Yi, Yuhui Xie, Ming‐Lin Zheng, Xiangyu Ma, Guodong Gong, Yan Wang, Ye Zhou, Su‐Ting Han   +11 more
wiley   +1 more source

Engineering Strategies for 2D Layered Tin Halide Perovskite Field‐Effect Transistors

Advanced Functional Materials, EarlyView.
2D halide perovskites are promising candidates for field‐effect transistor (FET) applications due to their high stability and suppressed ion migration in the presence of bulky organic spacers. This review systematically summarizes the optimization engineering strategies of 2D perovskite FETs and future challenges, which provide guidance for developing ...
Shuanglong Wang, Zhitian Ling, Paul W. M. Blom, Tomasz Marszalek, Wojciech Pisula   +4 more
wiley   +1 more source

Ternary Transistors With Reconfigurable Polarities

Advanced Functional Materials, EarlyView.
Polarity‐reconfigurable ternary transistors are demonstrated using black phosphorus homojunction with asymmetric contacts and split‐gate structures. Suppression of majority carrier injection, while Fowler–Nordheim tunneling of low‐density minority carriers persists, enables a well‐defined intermediate state with improved on/off ratios.
Dongju Yeom, Yeonghyeon Ko, Youngkyu Ko, Heungsoon Im, Jungi Song, Yongwook Seok, Hanbyeol Jang, Jaeha Hwang, Seokhun Jin, Kenji Watanabe, Takashi Taniguchi, Kayoung Lee   +11 more
wiley   +1 more source

Implications of artificial intelligence [PDF]

, 1979
Bernard D. Meltzer
openalex   +1 more source

Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery

Advanced Functional Materials, EarlyView.
This study provides an efficient approach to train a machine learning model by merging heterogeneous literature data to predict suitable polymers for siRNA delivery. Without the need for extensive laboratory synthesis, the machine learning enabled a virtual screening and successfully predicted a polymer that is validated for effective gene silencing in
Felix Sieber‐Schäfer, Min Jiang, Adrian Kromer, Anny Nguyen, Müge Molbay, Simone Pinto Carneiro, David Jürgens, Gerald Burgstaller, Bastian Popper, Benjamin Winkeljann, Olivia Monika Merkel   +10 more
wiley   +1 more source