Deep neural networks are at the heart of artificial intelligence, ranging from pattern recognition to large language and reasoning models like ChatGPT. The principle: during a training phase, the ...

In patients with idiopathic normal pressure hydrocephalus (iNPH), the characteristics of static steady-state balance disturbance are not as well understood as those related to gait. This study aimed ...

This paper presents a method for estimating the machine parameters of a synchronous motor. The presented method is equally applicable for a wound field synchronous motor, synchronous reluctance motor, ...

Speech and Natural Language Processing is a rapidly evolving field at the cutting edge of AI and Computer Science. This course presents the core theories, models and algorithms to enable the ...

Humanoid Robot, Roli-Rover Robot, Six-Hexapod Robot, as well as a variety of sensors, accessories, DIY robot kits, and parts.

Relaxation of branched polymers under tube-based models involves a parameter p2 characterizing the hop size of relaxed side arms. Depending on assumptions made in rheological models (e.g., about the ...

The open nature of OpenAI’s upcoming language model means companies and governments will be able to run the model themselves, ...

For all their impressive capabilities, large language models (LLMs) often fall short when given challenging new tasks that require complex reasoning skills.

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

If you're serious about computer science and know that your passion is using technology to change the world, there's no better place for you than Carnegie Mellon's School of Computer Science.

This article presents a new method of treating sampled S-parameter data where a criterion is developed to clearly state the minimum number of S-parameter frequency points required to adequately ...