Results 81 to 90 of about 152,362 (267)

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance

Advanced Functional Materials, EarlyView.
Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley   +1 more source

Circular‐Polarization‐Sensitive Organic Photodetectors with a Chiral Nanopatterned Electrode Inverse‐Designed by Genetic Algorithm

Advanced Functional Materials, EarlyView.
A chiral photodetector capable of selectively distinguishing left‐ and right‐handed circularly polarized light is experimentally demonstrated. The device, which features a nanopatterned electrode inverse‐designed by a genetic algorithm within a metal–dielectric–metal nanocavity that incorporates a vacuum‐deposited small‐molecule multilayer, exhibits ...
Kyung Ryoul Park, Jewoong Lee, In‐Suk Choi, Changsoon Kim   +3 more
wiley   +1 more source

Benchpress: A Versatile Platform for Structure Learning in Causal and Probabilistic Graphical Models

Journal of Statistical Software
Describing the relationship between the variables in a study domain and modeling the data generating mechanism is a fundamental problem in many empirical sciences. Probabilistic graphical models are one common approach to tackle the problem. Learning the
Felix L. Rios, Giusi Moffa, Jack Kuipers
doaj   +1 more source

Sensor Fusion for Fault Detection & Classification in Distributed Physical Processes

Frontiers in Robotics and AI, 2014
This paper proposes a feature extraction and fusion methodology to perform fault detection & classification in distributedphysical processes generating heterogeneous data.
Soumalya eSarkar, Soumik eSarkar, Nurali eVirani, Asok eRay, Murat eYasar   +4 more
doaj   +1 more source

High‐Resolution and Real‐Time In Situ Generation of Cellular Spheroids by Laser‐Assisted Bioprinting for Guided Microvascularization

Advanced Functional Materials, EarlyView.
Micro‐injection laser‐assisted bioprinting enables ultrafast and precise patterning of small endothelial cell spheroids by injecting a highly concentrated single‐cell suspension into GelMA/ColMA hydrogels. In co‐culture with fibroblasts, controlled pre‐vasculogenic network formation is obtained at microscale resolution.
Charles Handschin, Katharina Wulz, Clotilde Jugie, Marie‐Laure Stachowicz, Shane Fennell, Aurélien Mazet, Malou Lea, Nathalie Dusserre, Jean‐Christophe Fricain, Hugo Oliveira   +9 more
wiley   +1 more source

Self‐Organized Multitarget Pursuit in Multi‐Unmanned Aerial Vehicle Systems via Hierarchical Probabilistic Graphical Models

Advanced Intelligent Systems
The cooperation of multiple unmanned aerial vehicle (multi‐UAV) systems in adversarial and uncertain environments, particularly for multitarget pursuit, has gained significant attention.
Yixin Huang, Xiaojia Xiang, Chao Yan, Heda Xu, Tianjiang Hu, Han Zhou   +5 more
doaj   +1 more source

The use of probabilistic graphical models in pediatric sepsis: a feasibility and scoping review. [PDF]

Transl Pediatr, 2023
Nguyen TM, Poh KL, Chong SL, Loh SW, Heng YCK, Lee JH.   +5 more
europepmc   +1 more source

Inverse Graphics with Probabilistic CAD Models

CoRR, 2014
For correspondence, contact tejask@mit ...
Tejas D. Kulkarni, Vikash K. Mansinghka, Pushmeet Kohli, Joshua B. Tenenbaum   +3 more
openaire   +2 more sources

Anomalous Pressure‐Temperature Ultrahigh Sensitivities in Atomically Engineered Carbonitride MXenes for Multifunctional Wearable Human–Machine Interfaces: Joint Computational–Experimental Elucidations

Advanced Functional Materials, EarlyView.
Atomically engineered layered 2D Ti3CNTz carbonitride MXene exhibits ultrahigh heat and pressure sensitivity, enabling dual‐mode sensors with 300%–400% performance enhancement and durability for real‐time health‐monitoring interface devices. Precise nitrogen incorporation (e.g., Ti3C1.8N0.2Tz) boosts conductivity, enhancing temperature response, while ...
Debananda Mohapatra, Ju‐Hyoung Han, Hyun Jin Kang, Jeong Eun Byun, Seonghun Lee, Sanghyuk Lee, Yeseul Son, Jaeeun Park, Tae Joo Shin, Youngho Kang, Jung Woo Lee, Soon‐Yong Kwon, Soo‐Hyun Kim   +12 more
wiley   +1 more source