Teams talk about NLP – natural language processing – in test automation, yet many still ask what it truly means. They hear about tools that turn plain language into test scripts, but they want clear facts. This topic matters now because software teams face tight release cycles and constant change. NLP in test automation means […]
A conversation between LocaXion CEO Viren Mathuria and Redpoint CEO Chunjie Duan on safety-grade RTLS, what genuine precision demands, and the architecture built for what’s coming. RTLS (Real-Time Location System) refers to wireless technology used to automatically identify, track, and manage the precise location of assets, equipment, or people within a defined indoor or outdoor […]
By the time you finish reading this sentence, another humanoid robot will have rolled off a production line somewhere in China. That is not hyperbole. On March 30, 2026, Shanghai-based Agibot announced it had produced its 10,000th humanoid robot – a milestone the company reached after scaling from 5,000 to 10,000 units in just three […]
Manufacturers in 2026 face a clear problem. Finding obsolete PLC parts is slow, expensive, and uncertain. What used to be a sourcing issue is now an operational risk. Even a minor PLC failure can stop production. Delays now impact output, timelines, and revenue. Why Obsolete PLC Parts Are Hard to Find PLC systems still run […]
Robotics teams rarely struggle because a part cannot be printed at all. More often, they lose time because a part arrives with the wrong material, the wrong orientation, a missed drawing note, or small inconsistencies that only become obvious during assembly or testing. That is why speed alone is not enough. For robotics teams, a […]
Autonomous systems are designed for repetition. They are good in the situations where patterns can be memorized, charted, and anticipated with a high level of certainty. However, real-world driving is filled with edge cases, which do not scale well to datasets. Even a sophisticated system can be thrown off by a plastic bag floating along […]
Scientists warn that rapid advances in AI and neurotechnology are outpacing our understanding of consciousness, creating serious ethical risks. New research argues that developing scientific tests for awareness could transform medicine, animal welfare, law, and AI development. But identifying consciousness in machines, brain organoids, or patients could also force society to rethink responsibility, rights, and moral boundaries. The question of what it means to be conscious has never been more urgent—or more unsettling.
Researchers have turned artificial intelligence into a powerful new lens for understanding why cancer survival rates differ so dramatically around the world. By analyzing cancer data and health system information from 185 countries, the AI model highlights which factors, such as access to radiotherapy, universal health coverage, and economic strength, are most closely linked to better survival in each nation.
Spanish researchers have created a powerful new open-source tool that helps uncover the hidden genetic networks driving cancer. Called RNACOREX, the software can analyze thousands of molecular interactions at once, revealing how genes communicate inside tumors and how those signals relate to patient survival. Tested across 13 different cancer types using international data, the tool matches the predictive power of advanced AI systems—while offering something rare in modern analytics: clear, interpretable explanations that help scientists understand why tumors behave the way they do.
Princeton researchers found that the brain excels at learning because it reuses modular “cognitive blocks” across many tasks. Monkeys switching between visual categorization challenges revealed that the prefrontal cortex assembles these blocks like Legos to create new behaviors. This flexibility explains why humans learn quickly while AI models often forget old skills. The insights may help build better AI and new clinical treatments for impaired cognitive adaptability.