Search Results - artificial+intelligence%2fmachine+learning

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Rapid Tuberculosis and Mycobacteria Phenotypic Drug Susceptibility Testing
Mycobacterium tuberculosis (TB) remains a major global health threat, causing nearly 1.5 million deaths annually, making it the 13th leading cause of death. While TB is preventable and treatable, multidrug-resistant TB worsens the global health crisis, making diagnosis and treatment more complex. An even greater challenge is heteroresistance, where...
Published: 4/8/2025   |   Inventor(s): Shelley Haydel, Shaopeng Wang, Jiapei Jiang, Yannik Haller
Keywords(s):  
Category(s): Artificial Intelligence/Machine Learning, Vaccines/Antimicrobials, Life Science (All LS Techs), Imaging, Bioanalytical Assays, Chemistries & Devices, Diagnostic Assays/Devices
A novel Scaffold for Mode-Selective Inhibition of TRPV1
Pain is estimated to affect about 30% of the world’s population and treatment is challenging because of issues with addiction and withdrawal which accompany many current analgesics. Human TRPV1 is a widely expressed nociceptor and is a desirable target to modulate diverse human pathophysiologies, including pain, obesity, and diabetes, among others....
Published: 4/2/2025   |   Inventor(s): Wade Van Horn, Pankaj J. Pasricha
Keywords(s):  
Category(s): Life Science (All LS Techs), Non-Cancer Therapeutics, Pharmaceuticals, Advanced Materials/Nanotechnology, Artificial Intelligence/Machine Learning, Biomaterials
Decentralized Graph-Based Multi-Agent Reinforcement Learning using Reward Machines
Background Multi-agent reinforcement learning (MARL) involves a number of agents interacting within a common environment to jointly maximize a long-term reward. However, the key challenge with MARL is the combinatorial nature, which results in high computational complexity. The behavior of each individual agent relies on what has been learned by the...
Published: 3/31/2025   |   Inventor(s): Yongming Liu
Keywords(s):  
Category(s): Physical Science, Wireless & Networking, Artificial Intelligence/Machine Learning, Applied Technologies
Low Rank Compression of Trajectory Sensitivities for Dynamic Security Assessment
Background Trajectory sensitivity (TS) is a powerful approach to aid in dynamic security assessment (DSA). However, its practical usage has been limited so far due to concerns associated with its scalability. With a focus on increasing penetration of inverter-based resources and a long queue of pending generation interconnection requests, large-scale...
Published: 3/25/2025   |   Inventor(s): Amarsagar Reddy Ramapuram Matavalam, Arnav Bagga
Keywords(s):  
Category(s): Physical Science, Artificial Intelligence/Machine Learning, Wireless & Networking
CNN Architecture for Disease Identification from Retinal Images
The rise of artificial intelligence is changing the shape of many different fields, and ophthalmic medicine is no exception. Convolutional neural networks (CNNs) have achieved remarkable results in the assisted diagnosis of ophthalmic diseases. However, they face challenges such as limited labeling and small dataset sizes. In recent years, self-supervised...
Published: 3/19/2025   |   Inventor(s): Yalin Wang, Xin Li, Wenhui Zhu, Oana Dumitrascu
Keywords(s): Medical Devices and Imaging, Medical Software
Category(s): Artificial Intelligence/Machine Learning, Computing & Information Technology, Imaging, Life Science (All LS Techs), Medical Imaging
iRoCo: Intuitive Robot Control from Anywhere Using a Smartwatch
Background Smart device-based human-robot systems provide a wide range of possibilities to enhance the flexibility and robustness of human-robot interactions. These include navigating mobile robots using a single smartwatch, automated monitoring of vital body functions through smartwatches, and the coordination of multi-robot systems. The utilization...
Published: 3/4/2025   |   Inventor(s): Fabian Weigend, Heni Ben Amor, Xiao Liu
Keywords(s):  
Category(s): Physical Science, Applied Technologies, Wireless & Networking, Artificial Intelligence/Machine Learning
EarthRover: Affordable and Sustainable Mobility Autonomy for 4D Environmental Monitoring
Background Unmanned vehicles such as unmanned aerial vehicles (UAVs) can be used for performing surveillance, reconnaissance, and exploration tasks in a wide variety of environments for military and civilian applications. A UAV may be manually controlled by a remote user, or may operate in a semi-autonomous or fully autonomous manner. Such UAVs can...
Published: 3/4/2025   |   Inventor(s): Jnaneshwar Das
Keywords(s):  
Category(s): Physical Science, Wireless & Networking, Artificial Intelligence/Machine Learning, Imaging, Applied Technologies, Manufacturing/Construction/Mechanical
Automated Identification of Seizure Onset Zone (SOZ) in rs-fMRI
Epilepsy is a debilitating disorder that affects 50 million people worldwide, including one in 150 children. Some patients with epilepsy (including roughly 20-40% of children) suffer from refractory seizures despite treatment with anticonvulsants, i.e. pharmaco-resistant epilepsy (PRE), which results in increased morbidity and mortality. Early identification...
Published: 2/13/2025   |   Inventor(s): Payal Kamboj, Ayan Banerjee, Sandeep Gupta
Keywords(s):  
Category(s): Artificial Intelligence/Machine Learning, Computing & Information Technology, Imaging, Life Science (All LS Techs), Medical Imaging
Systems and Methods for Identification of Trade Indicators
Background Intense competition in the stock market results in a very efficient marketplace, where finding such repeatable predictive patterns is increasingly difficult. The field of technical analysis seeks to find repeatable patterns in price movements for a given asset to gain a predictive advantage in assessing its future price in the short term. As...
Published: 2/13/2025   |   Inventor(s): Paulo Shakarian, Colton Payne
Keywords(s):  
Category(s): Physical Science, Wireless & Networking, Applied Technologies, Artificial Intelligence/Machine Learning
TULIP: ASIC Accelerator for QNN with Variable Precision and Tunable Energy-Efficiency
Background Deep neural networks (DNNs) have been used in many different applications in recent years for pattern recognition and data mining, and are widely considered to be the dominant algorithmic framework in machine learning. However, DNNs are computationally and energetically intensive algorithms that perform billions of floating-point operations...
Published: 2/13/2025   |   Inventor(s): Sarma Vrudhula, Ankit Wagle, Gian Singh
Keywords(s):  
Category(s): Physical Science, Semiconductor Devices, Artificial Intelligence/Machine Learning
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