The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

AI-assisted design methods now allow for automated optimization, drastically shortening development cycles while boosting ...

Vinay Deeti is driving a new wave in asset management through intelligent automation, making investment analytics smarter, ...

Researchers have developed an Artificial Intelligence (AI) system that enables a four-legged robot to adapt its gait to ...

This article proposes online data-based reinforcement learning (RL) algorithm for adaptive output consensus control of heterogeneous multiagent systems (MASs) with unknown dynamics. First, we employ ...

Toddlers as young as two can successfully learn new words even when a speaker’s mouth or eyes are covered, a study shows.

A research team from the Universitat Autònoma de Barcelona (UAB) and the University of Grenoble Alpes—Centre National de la Recherche Scientifique (CNRS) has shown that from the age of two, children ...

the organizers explained ahead of the 2025 competition. "Participants are encouraged to use a range of technologies (reinforcement learning, optimal control, game theoretical techniques, etc.) to ...

The video will bring a smile to anybody’s face. The post Video Shows a Puppy Learning That Ice Cubes Aren’t Easy To Control appeared first on DogTime.

MiniMax reports that the M1 model was trained using large-scale reinforcement learning (RL) at an efficiency rarely seen in this domain, with a total cost of $534,700.

This article investigates the optimal control problem for a class of continuous-time nonlinear Markov jump systems (CTNMJSs), in which an adaptive optimal control policy is developed based on the ...

Deep learning models have demonstrated big potential to identify novel materials by exploring large chemical spaces efficiently. Here, we demonstrate the generation of hypothetical polymers with a ...