Aluminum die-cast components are widely used in automotive and precision machinery applications due to their combination of ...

To simulate the Earth, he suggests that it would be necessary to convert the entire stellar mass of a globular cluster into ...

This roundup highlights the latest robotics innovations aimed at improving throughput, simplifying deployment and helping ...

Adrian Macneil has a solid understanding of this space. As an executive at the self-driving startup Cruise, he built the ...

An AI model informed by calculations from a quantum computer can better predict the behavior of a complex physical system ...

From batteries to semiconductors, AI simulations are speeding discovery without fully replacing human expertise.

User simulators serve two critical roles when integrated with interactive AI systems: they enable evaluation via repeatable, ...

The latest boom in robotics represents a revolution in the way machines have learned to interact with the world.

As large models, reliable robotic hardware, and real-world data flywheels converge, embodied AI is rapidly evolving into a new production infrastructure. Building on the industry's shift from ...

Digital twins are changing how machines are managed, using IoT data to predict issues and improve performance.

A mathematics professor at The University of Manchester has developed a novel machine-learning method to detect sudden changes in fluid behaviour, improving speed and cost of identifying these ...

Foundational to the work on quantum error correction (QEC) are logical qubits, which are created by entangling multiple ...