Abstract: This paper presents a novel framework for whole-body torque control of humanoid robots without joint torque sensors, designed for systems with electric motors and high-ratio harmonic drives.

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

If you use consumer AI systems, you have likely experienced something like AI "brain fog": You are well into a conversation ...

If your calendar is packed with standups, releases, and stakeholder calls, structured learning can feel out of reach. Yet AI ...

When managing associate Tanya Sadoughi found a recurring problem in the banking and finance practice, she put her newfound ...

Learn how forward propagation works in neural networks using Python! This tutorial explains the process of passing inputs ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive technology and inclusive education. In an attempt to close that gap, I developed a ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write ...

With technology growing faster than ever, many Class 12 students dream of working in IT, AI, or data-driven fields. Data is now called the “new oil,” .

The package contains a mixture of classic decoding methods and modern machine learning methods. For regression, we currently include: Wiener Filter, Wiener Cascade, Kalman Filter, Naive Bayes, Support ...

Abstract: Neuromorphic computing attempts to mimic the neural architecture of human brain by delivering a non vonNeumann hardware which can run even the most complex artificial intelligence algorithms ...