Results 151 to 160 of about 1,593,960 (305)
Large language models serve as representation generators for gradient‐free scientific optimization. Two complementary approaches produce executable battery‐charging policies either directly or through LLM‐designed neural representations coupled to Bayesian optimization.
Ge Lei +3 more
wiley +1 more source
Appel à candidature MAPS 10, c'est parti!
Ouverture de l'appel à candidature MAPS 10 ! La MAPS Team est ravie de lancer le premier appel à candidature pour l’école thématique MAPS 10 qui se tiendra du 18 au 23 juin 2017 à Oléron!
Réseau MAPS
core
DAIMS is a multimodal model for treatment stratified risk and survival assessment in colorectal cancer. Training draws on pathology, genomics, and clinical reports, yet inference requires only whole slide images, and adaptation to new cohorts proceeds without target survival outcomes.
Chuangjie Cao +15 more
wiley +1 more source
Natural speech reveals the semantic maps that tile human cerebral cortex. [PDF]
Huth AG +4 more
europepmc +1 more source
Modalités de participation MAPS 13
Modalités de participation La participation à MAPS 13 est soumise à sélection : les dossiers de candidature seront étudiés par le comité scientifique. Les tarifs sont fixés en fonction des statuts (voir ci-dessous).
Réseau MAPS
core
An Expertise Transfer Framework For Autonomous Surgical Assistance
This study introduces an expertise transfer framework for procedure‐spanning autonomous surgical assistance. By emulating expert logic through hierarchical perception, attention modeling, and knowledge graph‐based decision‐making, the system provides near‐expert surgical view assistance.
Yuan Gao +12 more
wiley +1 more source
A Semantic Map for Evaluating Creativity.
We present a semantic map of words related with creativity. The aim is to empirically derive terms which can be used to rate processes or products of computational creativity. The words in the map are based on association studies performed by human subjects and augmented with words derived from the literature (based on human raters). The words are used
van der Velde, Frank +3 more
openaire +2 more sources
Confirmer votre participation à MAPS 13
Bienvenue dans l'aventure MAPS 13 ! Cette page sera ouverte à partir du 9 mars 2020. À réception du mail indiquant que vous êtes retenus pour participer à MAPS 13, vous devrez confirmer votre participation à MAPS 13 en ligne (précisions à venir).
Réseau MAPS
core
A machine‐learning framework for asymmetric C–H borylation bridges multi‐entity 3D molecular graphs and chemical literature. Atom‐resolved mechanistic annotations extracted by large language models augment three‐component graph encoding of catalyst, substrate, and product. The model predicts enantioselectivity with high accuracy on unseen scaffolds and
Zhe Wang +4 more
wiley +1 more source
Perceptual and semantic maps in individual humans share structural features that predict creative abilities. [PDF]
Seiler JP +4 more
europepmc +1 more source

