In order to have more accurate and lower costs, a new Taylor-series expansion location algorithm based on a Self-adaptive RBF neural network (SA-RBF-TSE) is proposed to estimate the initial value.

Willems: ‘You could equip vehicles with an operating system able to make all kinds of decisions using self-learning, adaptive algorithms. There are a lot of benefits to this. Consider an increase in ...

Learn more Researchers at Sakana AI, an AI research lab focusing on nature-inspired algorithms, have developed a self-adaptive language model that can learn new tasks without the need for fine-tuning.

it is developing self-learning adaptive control systems that optimise the energy efficiency of the powertrain using smart sensors, cloud data and route information. Self-learning algorithms use the ...

MIT researchers have developed a new machine-learning-based adaptive control algorithm for autonomous drones. The ...

Adaptive algorithms have immensely advanced, becoming integral for innovation across multiple industries. These intelligent systems adjust content and strategies to improve the experiences of ...

It employs predictive machine learning, a class of self-adaptive algorithms that improve their accuracy as they are provided new data. But as health researcher Ziad Obermeyer and his colleagues showed ...