The integration of deep reinforcement learning with PD control in humanoid robots enhances gait stability and patient comfort ...

Integrating deep learning with traditional forecasting techniques can improve early warning systems by capitalizing on each ...

data/ ├── noise/ # Background noise samples used for mixing ├── train/ # Training dataset │ ├── clean_trainset_wav/ # Clean training audio │ └── noisy_trainset_wav/ # Noisy training audio ├── validate ...

This is Part 6 of a series on AI in education. See Part 1 here. In Johann Wolfgang von Goethe's 1797 poem "The Sorcerer's Apprentice" (later immortalized by Walt Disney), a trainee makes a broom fetch ...

What if the future of innovation wasn’t just about working harder, but thinking deeper? Enter Gemini 3’s “Deep Think”, a innovative AI model designed to transform how businesses brainstorm, strategize ...

An ocean-mining company has funded some of the most comprehensive scientific studies of the deep seabed to date, and peer-reviewed results have begun to emerge. A collage of foraminifera, a kind of ...

Google launched Gemini upgrades to Google Finance. You can now ask Gemini more complex questions. The assistant helps scan information from earnings calls. Regardless of whether you are a pro or a ...

Deep brain stimulation is a surgical brain therapy used to treat symptoms of movement disorders such as dystonia, Parkinson’s disease and epilepsy. Performing over 100 DBS procedures annually, the ...

From Cape Town to Tehran to Lima to Phoenix, dozens of cities across the globe have recently experienced water shortages. In the next five years the world’s demand for fresh water could significantly ...

Deep Isolation Nuclear Inc. uses drilling techniques developed for fracking by the oil and natural gas industry to dig boreholes where it can deposit spent nuclear fuel rods. A nuclear technology ...

This project presents a complete workflow for cone detection in Formula Student Driverless scenarios using deep learning. It demonstrates how to use MATLAB® and Simulink® for data preparation and ...

Abstract: This paper contains the study of modulation identification for both analog and digital signals using convolution neural network. Modulation classification involves identifying the modulation ...