Search Results - artificial+intellegence%2fmachine+learning

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Machine Learning Enhanced Analog-to-Digital Converters
Background Data converters act as gatekeepers between analog and digital formats, translating information between the physical world and computing devices. Analog-to-digital converters (ADCs) specifically convert analog signals to digital numbers, where information can be processed, analyzed, and stored in digital format for human consumption. Many...
Published: 11/7/2024   |   Inventor(s): Arindam Sanyal, Sumukh Bhanushali, Debnath Maiti, Tushar Gupta
Keywords(s):  
Category(s): Physical Science, Artificial Intellegence/Machine Learning, Semiconductor Devices, Wireless & Networking
Weight-Agnostic Federated Neural Architecture Search
Federated learning (FL) is envisaged to be a promising solution for collaboratively training a machine learning model while keeping the training data decentralized and private. For example, in FL, different participants might have different samples of data from different classes. Some participants might have no samples from some of the subclasses...
Published: 10/29/2024   |   Inventor(s): Rida Bazzi, Om Thakkar
Keywords(s): Algorithm Development, Machine Learning, PS-Computing and Information Technology
Category(s): Artificial Intellegence/Machine Learning, Computing & Information Technology, Physical Science
Cyber-Physical Interaction Aware Test Case Generation to Identify Operational Changes
Present day autonomous systems are cyber-physical systems (CPS) that involve multi-dimensional interaction between the cyber machine and the operational environment. One of the key aspects of these autonomous systems is that interaction patterns change over the lifetime of usage. Changes in CPS interaction patterns can be unintentional or intentional...
Published: 10/28/2024   |   Inventor(s): Sandeep Gupta, Aranyak Maity, Ayan Banerjee, Imane Lamrani
Keywords(s): Algorithm Development, Inspection, Machine Learning, PS-Computing and Information Technology, Test
Category(s): Computing & Information Technology, Artificial Intellegence/Machine Learning, Physical Science
Attributing Image Generative Models Using Latent Fingerprints
Background Artificial intelligence (AI) image generation has opened up endless possibilities for creativity, allowing architects, designers, and artists to produce visual models rapidly. However, this technology is responsible for creating deepfakes, which are highly realistic but fake images and videos. Deepfakes can be used to spread misinformation,...
Published: 10/4/2024   |   Inventor(s): Guangyu Nie, Changhoon Kim, Yezhou Yang, Yi Ren
Keywords(s):  
Category(s): Physical Science, Artificial Intellegence/Machine Learning, Wireless & Networking, Intelligence & Security