1+ hour, 40+ min ago  (266+ words) This method provides a powerful approach to finding guaranteed solutions where traditional methods often fail, with potential applications spanning finance and artificial intelligence. Researchers have demonstrated a way to reformulate problems centring on max-min bilinear programs, where one agent maximizes…...

1+ hour, 53+ min ago  (275+ words) The core of this advancement is the use of gradient networks, a specialised type of neural network capable of universally approximating any physically plausible magnetic behaviour. Unlike previous Hamiltonian neural networks which rely on numerical differentiation, this approach directly models…...

1+ hour, 59+ min ago  (235+ words) Scientists are tackling the immense computational burden of designing more efficient ships. Optimising hull shapes for vessels with complex propulsion systems traditionally demands prohibitive computing power and storage. A novel machine learning technique promises to accelerate this process, delivering substantial…...

2+ hour, 22+ min ago  (997+ words) Researchers have demonstrated that hybrid classical-quantum neural networks can effectively solve heat equations by integrating quantum circuits to enhance data encoding and improve the modelling of parabolic partial differential equations with potential applications for near-term quantum hardware. https://quantumzeitgeist.com/wp-content/uploads/Image_fx-33-43.jpg Researchers are…...

2+ hour, 33+ min ago  (924+ words) Researchers have developed a new method, SIQHDy, which accurately recreates the behaviour of quantum systems by learning the underlying rules from limited observational data using a streamlined circuit-based approach. https://quantumzeitgeist.com/wp-content/uploads/Image_fx-32-44.jpg Researchers are developing new methods to understand the underlying rules…...

2+ hour, 42+ min ago  (306+ words) By carefully analysing the fibres of this family, researchers establish a surprising correspondence between Pn and both the classical coinvariant algebra and the group algebra, offering a new perspective on their interrelationships. Furthermore, the research extends these findings to Young…...

5+ hour, 33+ min ago  (352+ words) Scientists are extending the reach of artificial intelligence beyond standard data formats. New techniques allow machine learning to analyse complex, non-Euclidean data such as networks and manifolds. This development promises to unlock insights from increasingly diverse and challenging datasets, with…...

5+ hour, 44+ min ago  (878+ words) Researchers have developed a computationally efficient hybrid simulation method combining atomistic and continuum modelling, optimised via machine learning, to accurately and rapidly simulate material behaviour, demonstrated through particle collisions, with significant advantages over existing techniques. https://quantumzeitgeist.com/wp-content/uploads/Image_fx-13-47.jpg Scientists are continually seeking…...

6+ hour, 48+ min ago  (300+ words) The study challenges conventional understandings of model complexity, which typically focus on the number of parameters or computational cost. Instead, this research formalizes complexity as the length of the shortest program required to generate the model's weights, suggesting that effective…...

8+ hour, 4+ min ago  (991+ words) Researchers have developed a novel neural network architecture, termed Forked Physics-Informed Neural Networks (FPINN), which accurately simulates complex physical systems governed by coupled differential equations by isolating gradient pathways and incorporating evolutionary guidance to avoid problematic local optima. https://quantumzeitgeist.com/wp-content/uploads/Image_fx-39-34.jpg Solving…...