We stand at a turning point in artificial intelligence. For years, we built AI systems that followed our commands. Now, we are building AI agents that do not just follow commands, but learn, adapt, ...

Abstract: This study addresses the challenges of limited adaptability in conventional distributed control strategies for multi-agent systems operating in dynamic environments. We propose a novel ...

Hollywood is digitizing background actor payroll, replacing paper workflows with faster, more accurate systems that reduce ...

If Ubuntu is your only Linux experience, you might be repeating the same pattern you tried to leave behind.

Abstract: Nonsmooth phenomena, such as abrupt changes, impacts, and switching behaviors, frequently arise in real-world systems and present significant challenges for traditional optimal control ...

Whether it's replacing lost remotes or backing up access devices, these practical Flipper Zero tips are easy for beginners and unexpectedly useful.

Organizations that build platforms that “learn before acting” will spend less time firefighting and more time shipping ...

Abstract: This letter studies the bearing-only formation tracking control problem for multi-agent systems in which the target formation moves with a time-varying reference velocity. We consider both ...

Control panels of a pre-digitalization nuclear plant look quite daunting, with countless dials, buttons and switches that all ...

Abstract: With climate anomalies and ecosystem destruction caused by global warming, reducing carbon emissions is becoming increasingly important. Consequently, the power industry is investing in new ...