Results 221 to 230 of about 5,859,765 (291)

Large Language Model‐Informed Dual‐Track AI Framework for the Synergistic Design of Crack‐Free and High‐Strength Superalloys

Advanced Science, EarlyView.
This paper illustrates a knowledge‐augmented dual‐track AI framework for advanced superalloy design. First, Large Language Models translate metallurgical heuristics into explicit rules to rapidly prune a vast compositional search space. Subsequently, LLM‐distilled priors safely guide a reinforcement learning agent during autonomous process optimization,
Jian Yao, Junkang Wu, Jie Su, Fuzhu Wang, Zi Wang, Li Wang, Liming Tan, Lan Huang, Feng Liu, Yong Liu   +9 more
wiley   +1 more source

Optimized decomposition and deep learning with bias correction for reliable runoff point-interval prediction. [PDF]

Sci Rep
Ma H, Marsani MF, Mansor MA, Kasihmuddin MSM, Long C.   +4 more
europepmc   +1 more source

A Bumblebee-Inspired Spatial Memory Navigation Framework for Robotic Odor Source Localization. [PDF]

Biomimetics (Basel)
Xu T, Guo Y, Wu Z, Wu J.
europepmc   +1 more source

Green toxicology only becomes beautiful through AI. [PDF]

Front Chem
Maertens A, Hartung T.
europepmc   +1 more source

Clinician in the loop: a flawed solution for AI oversight.

BMJ
Toro-Tobon D, Ponte OP, Montori VM, Brito JP.   +3 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Probabilistic Algorithms for Geometric Elimination

Applicable Algebra in Engineering, Communication and Computing, 1999
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
G. Matera
semanticscholar   +2 more sources

Probabilistic algorithms for sparse polynomials

Symbolic and Algebraic Computation, 1979
In this paper we have tried to demonstrate how sparse techniques can be used to increase the effectiveness of the modular algorithms of Brown and Collins. These techniques can be used for an extremely wide class of problems and can applied to a number of different algorithms including Hensel's lemma.
R. Zippel
semanticscholar   +2 more sources