no code implementations • 10 Jan 2024 • Karan Taneja, Richard Segal, Richard Goodwin
Automatic food recipe generation methods provide a creative tool for chefs to explore and to create new, and interesting culinary delights.
no code implementations • 10 Jan 2024 • Karan Taneja, Ashok Goel
The recent advances in large language models (LLMs) have led to the creation of many modular AI agents.
no code implementations • 9 Oct 2023 • Karan Taneja, Xiaolong He, John Hodgson, Usha Sinha, Shantanu Sinha, J. S. Chen
Experimental observations suggest that the force output of the skeletal muscle tissue can be correlated to the intra-muscular pressure generated by the muscle belly.
no code implementations • 26 May 2023 • Karan Taneja, Xiaolong He, Qizhi He, J. S. Chen
This work presents a multi-resolution physics-informed recurrent neural network (MR PI-RNN), for simultaneous prediction of musculoskeletal (MSK) motion and parameter identification of the MSK systems.
no code implementations • 10 Jun 2022 • Karan Taneja, Harshvardhan Sikka, Ashok Goel
Machine Teaching (MT) is an interactive process where a human and a machine interact with the goal of training a machine learning model (ML) for a specified task.
no code implementations • 21 Apr 2022 • Karan Taneja, Harshvardhan Sikka, Ashok Goel
Machine Teaching (MT) is an interactive process where humans train a machine learning model by playing the role of a teacher.
no code implementations • 12 Oct 2020 • Yash Sharma, Basil Abraham, Karan Taneja, Preethi Jyothi
Building Automatic Speech Recognition (ASR) systems for code-switched speech has recently gained renewed attention due to the widespread use of speech technologies in multilingual communities worldwide.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2