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 […]
By Michael Santora, CEO at Logic Robotics Cities across the globe are wrestling with a stubborn challenge: congestion. While traffic often comes to mind first, logistics experts point out that the real bottleneck in many urban environments lies at the curb. Trucks not only clog intersections as they navigate narrow streets, but also occupy scarce […]
The narrative in modern manufacturing often centers on the cutting edge: AI-driven robotics, hyper-connected IIoT ecosystems, and autonomous logistics. While this rapid innovation drives the industry forward, it creates a stark contrast with the reality on the factory floor. In many facilities, the backbone of production remains robust, reliable hardware that has been running effectively […]
Replacing your brakes is a vital part of vehicle maintenance, but costs vary based on vehicle type, driving habits, and worn components. Many drivers start researching prices after noticing squeaking, grinding, or reduced stopping power. Knowing what affects brake pricing helps you avoid surprises and make smarter decisions. If you’re comparing options for brake repair […]
As automation becomes central to operations, organizations face growing pressure to demonstrate the value of internal systems like intranets. Reliable measurement of intranet Return On Investment (ROI) requires linking platform performance to automation outcomes and real operational results. With automation scaling rapidly in many sectors, organizations are increasingly scrutinizing the ROI of their intranet investments. […]
The rapid rise of artificial intelligence tools has transformed how content is created, processed, and delivered. From automated writing assistants to multimodal generation systems, the capabilities of AI have expanded quickly over the past few years. But as many organizations are discovering, AI itself is no longer the primary constraint. The bigger challenge lies in […]
Exotec, a designer and integrator of robotic solutions for warehouse logistics, has announced the deployment of a multi-site programme called Skyfleet for Decathlon. The program spans seven logistics platforms across five European countries: France, the United Kingdom, Portugal, Italy, and Germany. Beyond enabling Decathlon to standardise and manage logistics flows at a European scale, the […]
As AI systems began acing traditional tests, researchers realized those benchmarks were no longer tough enough. In response, nearly 1,000 experts created Humanity’s Last Exam, a massive 2,500-question challenge covering highly specialized topics across many fields. The exam was engineered so that any question solvable by current AI models was removed. Early results show even the most advanced systems still struggle — revealing a surprisingly large gap between AI performance and true expert-level knowledge.
Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory physicists created a unifying mathematical framework that shows many AI techniques rely on the same core idea: compress data while preserving what’s most predictive. Their “control knob” approach helps researchers design better algorithms, use less data, and avoid wasted computing power. The team believes it could pave the way for more accurate, efficient, and environmentally friendly AI.
New findings challenge the widespread belief that AI is an environmental villain. By analyzing U.S. economic data and AI usage across industries, researchers discovered that AI’s energy consumption—while significant locally—barely registers at national or global scales. Even more surprising, AI could help accelerate green technologies rather than hinder them.
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.