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The Future of Fundamental Science Led by Generative Closed-Loop Artificial Intelligence
Yet, AI has contributed less to fundamental science in part because large data sets of high-quality data for scientific practice and model discovery are more difficult to access.
LLMs can generate robotic scripts from goal-oriented instructions in biological laboratory automation
In the last few years, there has been remarkable development in large language models (LLMs) such as GPT-4, which can generate computer codes based on natural language instructions.
Scenarios and branch points to future machine intelligence
We discuss scenarios and branch points to four major possible consequences regarding future machine intelligence; 1) the singleton scenario where the first and only super-intelligence acquires a decisive strategic advantage, 2) the multipolar scenario where the singleton scenario is not technically denied but political or other factors in human society or multi-agent interactions between the intelligent agents prevent a single agent from gaining a decisive strategic advantage, 3) the ecosystem scenario where the singleton scenario is denied and many autonomous intelligent agents operate in such a way that they are interdependent and virtually unstoppable, and 4) the upper-bound scenario where cognitive capabilities that can be achieved by human-designed intelligent agents or their descendants are inherently limited to the sub-human level.
Segmentation-free Direct Iris Localization Networks
Experimental results show that the combination of ILN and PRN works in 34. 5 ms for one iris image on a CPU, and its localization performance outperforms conventional iris segmentation methods.
Signaling activations through G-protein-coupled-receptor aggregations
Eukaryotic cells transmit extracellular signal information to cellular interiors through the formation of a ternary complex made up of a ligand (or agonist), G-protein, and G-protein coupled receptor (GPCR).
Cooperativity transitions driven by higher-order oligomer formations in ligand-induced receptor dimerization
While cooperativity in ligand-induced receptor dimerization has been linked with receptor-receptor couplings via minimal representations of physical observables, effects arising from higher-order oligomer (e. g., trimer and tetramer) formations of unobserved receptors have received less attention.
Surface reaction-diffusion kinetics on lattice at the microscopic scale
Microscopic models of reaction-diffusion processes on the cell membrane can link local spatiotemporal effects to macroscopic self-organized patterns often observed on the membrane.
Reaction-diffusion kinetics on lattice at the microscopic scale
Some of these schemes that are based on the reaction-diffusion master equation (RDME), can simulate for extended spatial and temporal scales but cannot directly account for the microscopic effects in the cell such as volume exclusion and diffusion-influenced reactions.
