Automation World

Pharmaceutical company Roche has outlined plans to move towards autonomous, AI-driven laboratories. According to a Reuters report, the Swiss drugmaker intends to use artificial intelligence and robotics to automate research workflows, accelerating drug discovery and reducing the need for manual lab work. The announcement highlights how major pharma firms are adopting AI to speed up experimentation and research.

A new report confirms that China continues to hold its position as the world's largest market for industrial robots, maintaining its lead over other major economies in industrial automation. The finding underscores the country's sustained investment in robotics across manufacturing sectors, reinforcing its central role in the global robotics industry.

China installed 354,000 industrial robots in 2025, accounting for 59% of global installations, according to figures reported by TechNode. The United States overtook Japan to become the world's second-largest robot market, highlighting the scale of Chinese manufacturing automation and shifting rankings among major industrial economies.

Chinese state media reports that embodied AI robots developed in China are increasingly being deployed in real-world workplaces rather than remaining confined to research and classroom settings. The feature highlights how the country's robotics sector is pushing humanoid and intelligent machines into practical jobs, reflecting China's broader push to lead in embodied artificial intelligence and industrial automation.

Bloomberg reports that driverless trucks may provide a model for how autonomous AI systems can be deployed safely without harming people. The argument is that self-driving freight has operated under strict testing, regulation and limited-use conditions, offering a template for governing more advanced robots. The piece adds to ongoing debate about how to manage AI risks as automation expands into physical industries.

Gecko Robotics' chief executive is arguing that humans must remain in control as artificial intelligence moves into the physical world through robots and industrial automation. The company builds robots used to inspect critical infrastructure such as bridges, power plants and pipelines. The intervention adds a robotics industry voice to the ongoing debate over how much autonomy should be granted to AI-driven machines in safety-critical settings.

Google is using AI tools together with differential fuzzing to rewrite critical C dependencies in Rust, aiming to keep behavior identical while removing memory-safety issues. The approach lets automated comparison between old and new implementations verify correctness, and it marks another step in Google's broader push to move security-sensitive infrastructure from C to memory-safe Rust.

At KDE's annual Akademy conference, a presentation proposing an "AI-native KDE" sparked debate among developers, leading KDE developer Nate Graham to open a discussion about proposed restrictions on AI-generated contributions. KDE and GNOME communities are now weighing how to handle code and other contributions produced with AI tools, balancing enthusiasm for automation against concerns over quality, licensing and maintainability. The debate has drawn attention across the free software world.

An AI system has reportedly set a record by independently computing a 9-loop physics amplitude, a Feynman diagram calculation far beyond typical human work. Most real-world perturbative calculations in quantum field theory stop at 2 or 3 loops due to their complexity. The result highlights how machine learning is beginning to automate some of the most demanding mathematical tasks in theoretical physics.