Traditional approaches to autonomous vehicles (AVs) rely on using millions of miles of driving data in conjunction with even more miles of simulated data as inputs to supervised machine learning ...

Collaboration between materials scientists and data scientists helps identify patterns in growing thin films. (Nanowerk News) From cell phones to solar panels to quantum computers, thin films are ...

We might be witnessing the start of a new computing era where AI, cloud and quantum begin to converge in ways that redefine data processing and problem-solving.

The AV sector is expanding due to a number of causes. First off, vehicles are becoming smarter and safer due to improvements in AI and machine learning. In order to speed up development, governments ...

Imagine a world where robots don’t just follow pre-programmed instructions but actually learn and adapt like living beings. The integration of IntuiCell technology into the Luna robot dog represents a ...

Researchers at Pacific Northwest National Laboratory (PNNL) have developed a machine learning (ML) system that can detect subtle changes in thin film growth data in real time - faster than human ...

Incorporating AI agents as autonomous learning assistants in training programs boosts user engagement and information retention with the right approach. Building trust in AI technology with ...

This integrated learning approach enables the system to process vast amounts of driving data, allowing for real-time ...