Researchers have developed an adaptive logistic regression model that lets low-cost autonomous robots classify obstacles and ...

Abstract: Despite the advancements of autonomous systems from decades of engineering, there is always the need to make them even more efficient and reliable. Machine learning holds great potential to ...

Digitate, a leader in Agentic AIOps, today announced a wave of 2026 momentum toward its vision of Autonomous IT: new analyst recognition, a landmark Microsoft partnership, and expanded ecosystem reach ...

ARLINGTON, Va. – U.S. military researchers are asking industry for ways of developing real-world autonomous systems quickly from models and simulations. These autonomous systems should be able to ...

From cell phones to solar panels to quantum computers, thin films are essential to current and emerging technologies. But making functional thin films requires control. During hours-long processes, ...

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 ...

Based on all the hype around autonomous vehicles (AVs) in recent years, you would imagine that our roads would be crisscrossed by swarms of driverless cars by now, ferrying their owners to their next ...

Machine learning operates as the silent engine behind modern digital infrastructure. It filters out malicious traffic, anticipates supply chain bottlenecks, and guides autonomous vehicles. However, ...

For decades, manufacturers have built their reputations on one simple promise: every product leaving the factory meets the highest quality standards. Whether producing automotive components, ...

Autonomous systems are playing a significant role in modern society, including self-driving cars and unmanned vehicles. Current and future engineers will be faced with significant challenges in ...