Researchers from the Institute of Industrial Science, The University of Tokyo have applied stochastic optimal control theory to biological systems, studying how these systems behave. By using concepts and tools from information theory, they successfully converted the nonlinear optimization problem into a reasonably solvable form. The optimal control strategies for problems such as biodiversity and epidemics are found to exhibit “mode-switching” phenomena, where sharply transitioning from weak to strong control provides the most effective solution.

A research paper by scientists at University of Southern Denmark presented a multimodal limbless crawling soft robot capable of navigating complex terrains using a combination of rectilinear motion and asymmetric steering gaits.

The research paper was published on Jun. 9, 2025 in the journal Cyborg and Bionic Systems.

A novel strategy was designed for guiding supramolecular macrocycles into nanoscale chiral topological toroids, establishing hierarchical self-assembly pathways for advanced chiroptical materials

A novel strategy was designed for guiding supramolecular macrocycles into nanoscale chiral topological toroids, establishing hierarchical self-assembly pathways for advanced chiroptical materials

A new high-speed, miniaturized chip-based device paves the way for scalable and secure random number generation for everyday devices to strengthen security without sacrificing speed.