The next wave of robotics depends on unifying code and hardware—embedding AI directly into the deterministic systems that ...

Dating apps have evolved from a space for casual experimentation into one of the most common ways people build meaningful ...

Brain organoid biocomputers are now commercially available. Here's how living human neurons are being wired to silicon chips ...

Rising fuel prices have put the aviation industry in a state of panic. Many cancelled flights and a bleak outlook. Are ...

Abstract: This article investigates the event-triggered model predictive control (ETMPC) problem for nonlinear systems with the bounded disturbance. First, a novel adaptive event-triggered mechanism ...

Abstract: Remote sensing constellations for regional coverage augmentation demonstrate significant efficiency in environmental monitoring, resource exploration, and strategic observation. However, ...

In system design, assumptions that facilitate the usual process can lead to highly unsatisfactory performance “off piste”.

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

The subthalamic nucleus contains subpopulations with different contributions to deliberative decision-making based on noisy evidence and reward-driven preferences.

Think of tokenomics as a cloud budget for AI; it stops your team from accidentally racking up massive bills on giant prompts and oversized model responses.

Reproducing kernel Hilbert space method is utilized in this paper as an efficient approach to solve singular fourth order ...