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Researchers build magnetic computer that thinks like a brain

In the future, a new type of computer may be able to learn much like you do—by experience rather than endless repetition or instruction. Researchers at the University of Texas at Dallas, along with ...
Interesting Engineering

Scientists build brain-like computer that could bring self-learning AI to phones

By borrowing ideas from the brain, UT Dallas researchers have created hardware that learns on its own with minimal energy use ...
Electrical and Computer Engineering - Carnegie Mellon University

10 CMU Students Selected for Amazon AI Ph.D. Fellowship Program

Ten Carnegie Mellon doctoral students pursuing artificial intelligence research will receive support from Amazon through the company’s new AI Ph.D. Fellowship Program.
IEEE

EMGAxO: Extending Machine Learning Hardware Generators With Approximate Operators

Abstract: FPGAs provide customizable, low-power, and real-time ML Models acceleration for embedded systems, making them ideal for edge applications like robotics and IoT. However, ML models are ...
IEEE

Multi-Partner Project: A Deep Learning Platform Targeting Embedded Hardware for Edge-AI Applications (NEUROKIT2E)

Abstract: The goal of the NEUROKIT2E project is to create an open-source Deep Learning framework for edge and embedded AI built around an established European value chain. This framework, called AIDGE ...