Zobrazeno 1 - 10
of 2 601
pro vyhledávání: '"Heisler P"'
The ability to display rich facial expressions is crucial for human-like robotic heads. While manually defining such expressions is intricate, there already exist approaches to automatically learn them. In this work one such approach is applied to ev
Externí odkaz:
http://arxiv.org/abs/2412.13641
Autor:
Prokopenko, Mikhail, Davies, Paul C. W., Harré, Michael, Heisler, Marcus, Kuncic, Zdenka, Lewis, Geraint F., Livson, Ori, Lizier, Joseph T., Rosas, Fernando E.
We study open-ended evolution by focusing on computational and information-processing dynamics underlying major evolutionary transitions. In doing so, we consider biological organisms as hierarchical dynamical systems that generate regularities in th
Externí odkaz:
http://arxiv.org/abs/2409.12029
Autor:
Kich, Victor Augusto, Kolling, Alisson Henrique, de Jesus, Junior Costa, Heisler, Gabriel V., Jacobs, Hiago, Bottega, Jair Augusto, Kelbouscas, André L. da S., Ohya, Akihisa, Grando, Ricardo Bedin, Drews-Jr, Paulo Lilles Jorge, Gamarra, Daniel Fernando Tello
This paper introduces novel deep reinforcement learning (Deep-RL) techniques using parallel distributional actor-critic networks for navigating terrestrial mobile robots. Our approaches use laser range findings, relative distance, and angle to the ta
Externí odkaz:
http://arxiv.org/abs/2408.05744
Vibrational coherences in ultrafast pump-probe (PP) and 2D electronic spectroscopy (2DES) provide insight into the excited state dynamics of molecules. Femtosecond coherence spectra (FCS) and 2D beat maps yield information about displacements of exci
Externí odkaz:
http://arxiv.org/abs/2404.17362
We present a high-level domain-specific language (DSL) interface to drive an adaptive incomplete $k$-d tree-based framework for finite element (FEM) solutions to PDEs. This DSL provides three key advances: (a) it abstracts out the complexity of imple
Externí odkaz:
http://arxiv.org/abs/2305.19398
Autor:
Heisler, Eric, Saurav, Siddharth, Deshmukh, Aadesh, Mazumder, Sandip, Sadayappan, Ponnuswamy, Sundar, Hari
Heterogeneous computing environments combining CPU and GPU resources provide a great boost to large-scale scientific computing applications. Code generation utilities that partition the work into CPU and GPU tasks while considering data movement cost
Externí odkaz:
http://arxiv.org/abs/2305.19400
Publikováno v:
ISR Europe 2023, 56th International Symposium on Robotics, Stuttgart, Germany, 2023, pp. 93-99
This paper describes, how current Machine Learning (ML) techniques combined with simple rule-based animation routines make an android robot head an embodied conversational agent with ChatGPT as its core component. The android robot head is described,
Externí odkaz:
http://arxiv.org/abs/2305.10945
Publikováno v:
mAbs, Vol 16, Iss 1 (2024)
The self-association of therapeutic antibodies can result in elevated viscosity and create problems in manufacturing and formulation, as well as limit delivery by subcutaneous injection. The high concentration viscosity of some antibodies has been re
Externí odkaz:
https://doaj.org/article/1c2c74ea9eeb426685561bfdd47cda1b
Publikováno v:
Health and Human Rights, Vol 26, Iss 1, Pp 151-154 (2024)
Externí odkaz:
https://doaj.org/article/85bb144c8c0e4ad1849de1f2351fa2c6
Autor:
Alan D. Kaye, Dominique M. Perilloux, Alison M. Hawkins, Grace C. Wester, Amanda R. Ragaland, Sage V. Hebert, Julian Kim, Michael Heisler, Rucha A. Kelkar, Azem A. Chami, Sahar Shekoohi, Adam M. Kaye
Publikováno v:
Pain and Therapy, Vol 13, Iss 3, Pp 481-493 (2024)
Abstract Chronic pain, a complex and debilitating condition, involves intricate interactions between central and peripheral inflammatory processes. Cytokines, specifically tumor necrosis factor (TNF) and interleukins (IL), are key mediators in the in
Externí odkaz:
https://doaj.org/article/ee959da8fad3404e818d74c8897e39d3