A new tool to model peripheral nerve stimulation rapidly discovered optimal electrical waveforms (white traces) which, when delivered through the metal contacts of a cuff electrode placed on the vagus ...

The field of electrical machines and drives forms the cornerstone of modern energy conversion, transforming electrical energy into mechanical power for a vast range of applications—from electric ...

The Information Processing and Machine Learning Laboratory (IPML) supports research in theoretical algorithm development in digital signal processing, adaptive and nonlinear signal processing, machine ...

The introduction of millions of electric vehicles to the power grid will create a transformational opportunity for America’s decarbonization efforts. It also brings with it an important challenge.

EIT, while having the benefits of being low cost and lighter, has some inherent inaccuracies. The proposed method improves the resolution of reconstructed images and can promote the application of EIT ...

Intelligent organizations prioritize investments in machine learning and real-time data to improve decision making, accelerate revenue generation efforts, reduce operational expenses and protect ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

Machine learning enables AI to learn and improve without direct programming. AI uses machine learning to analyze vast data sets and identify patterns. Accuracy of AI predictions depends on quality ...