An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...
We are witnessing a fundamental shift in how successful systems are designed, and agentic AI sits at the heart of this revolution.
Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...
What if a helper robot could sense when your brain was tired? Assistant professor Maria Kyrarini receives two major NSF ...
More aggressive feature scaling and increasingly complex transistor structures are driving a steady increase in process complexity, increasing the risk that a specified pattern may not be ...
Flexible composites-based piezoelectric nanogenerator (PENG) with low cost, stable properties and sensitivity to mechanical ...
Recent computer technologies such as AI (Artificial Intelligence) to steer an automatic driving car and "Go AI" to leave "World's Strongest" name by Deep Learning are called "AI", "Deep learning", ...
What if the skills you choose to learn today could determine your career trajectory in 2025? The field of machine learning is evolving at a breakneck pace, and with it comes a growing demand for ...