Results 161 to 170 of about 2,128 (206)

Navigating artificial general intelligence development: societal, technological, ethical, and brain-inspired pathways. [PDF]

Sci Rep
Raman R, Kowalski R, Achuthan K, Iyer A, Nedungadi P.   +4 more
europepmc   +1 more source

Multi-anion/cation engineering enables fast ion transport and stable interfaces in Zr-based halide electrolytes for all-solid-state batteries. [PDF]

Chem Sci
Xu X, Yan Z, Ying J, Deng L, Liu M, Xu Y, Liu Y, Zhang Y, Zhu Y, Xia Y, Wang Y.   +10 more
europepmc   +1 more source

Octahedral tilting in halide double perovskites: disentangling lone-pair chemistry and geometric effects.

Faraday Discuss
Baskurt M, Fransson E, Lindvik M, Erhart P, Wiktor J.   +4 more
europepmc   +1 more source

Characterizing drought prediction with deep learning: A literature review. [PDF]

MethodsX
Márquez-Grajales A, Villegas-Vega R, Salas-Martínez F, Acosta-Mesa HG, Mezura-Montes E.   +4 more
europepmc   +1 more source

Regulating phonon-carrier transport by interfacial symmetry breaking in thermoelectric multilayers. [PDF]

Sci Adv
Yao Z, Liu B, Zhang S, Guo Q, Han Y, Guan Z, Yang K, Gao W, Yuan Y, Wu Z, Wang M, Hu Z.   +11 more
europepmc   +1 more source

Early identification of abnormal pulmonary infectious diseases using unsupervised anomaly detection. [PDF]

Quant Imaging Med Surg
Liu R, Zhu Y, Lyu Z, Gao Y, Zhan Y, Zhan Y.   +5 more
europepmc   +1 more source

Bridging the Gap: Using Machine Learning Force Fields to Simulate Gold Break Junctions at Pulling Speeds Closer to Experiments. [PDF]

ACS Nano
Bro-Jørgensen W, Hamill JM, Donadio D, Solomon GC.   +3 more
europepmc   +1 more source

An advanced deep neuroevolution model for probabilistic load forecasting

Electric Power Systems Research, 2022
An advanced deep neuroevolution model for probabilistic load ...
Abbas Khosravi, Parul Arora, Saeid Nahavandi   +2 more
exaly   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Neuroevolution for adaotive teams

The 2003 Congress on Evolutionary Computation, 2003. CEC '03., 2004
We introduce the adaptive team of agents (ATA), a system of homogeneous agents with identical control policies which nevertheless adopt heterogeneous roles appropriate to their environment. ATAs have applications in domains such as games, and can be evolved through neuroevolution. In this paper we show how ATAs can be evolved to solve the problem posed
Bobby D. Bryant, Risto Miikkulainen
openaire   +2 more sources

Numerical optimization with neuroevolution

Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600), 2003
Neuroevolution techniques have been successful in many sequential decision tasks, such as robot control and game playing. This paper aims at establishing whether they can be useful in numerical optimization more generally, by comparing neuroevolution to linear programming in a manufacturing optimization domain.
Brian Greer, Henri Hakonen, Risto Lahdelma, Risto Miikkulainen   +3 more
openaire   +1 more source