An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

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 ...

Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

Driverless AI really is able to create and train good machine learning models without requiring machine learning expertise from users. Machine learning, and especially deep learning, have turned out ...

First EU and U.K. patent builds in a new level of protection for customers using the company’s AI-powered mold design ...

ByNot4rthur 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 ...

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 ...

Detailed predictions about how an approaching tsunami will impact the northeastern coastline in Japan can be made in fractions of a second rather than half an hour or so—buying precious time for ...