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 […]
The humanoid robotics industry may be approaching its first real commercial inflection point – and the signal is not a new product launch or funding round, but a sharp and accelerating decline in prices. Recent disclosures from Unitree Robotics suggest the average price of its humanoid robots fell from approximately $85,000 in 2023 to about […]
A number of individuals have spoken about robotics with respect to heavy equipment. However, they typically consider autonomous mining vehicles, warehouse management systems, and construction machines. The majority of these individuals overlook an extremely obvious shift that is taking place in truck mounted cranes. Crane trucks are becoming smart due to the advent of new […]
A new study put ChatGPT to the test by asking it to judge whether hundreds of scientific hypotheses were true or false—and the results were far from reassuring. While the AI got it right about 80% of the time on the surface, its performance dropped significantly when accounting for random guessing, revealing only modest reasoning ability. Even more concerning, it frequently contradicted itself when asked the exact same question multiple times, sometimes flipping answers back and forth.
Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The breakthrough could lead to powerful, low-energy supercomputers while revealing new secrets about how our brains process information.
Chimps may revise their beliefs in surprisingly human-like ways. Experiments showed they switched choices when presented with stronger clues, demonstrating flexible reasoning. Computational modeling confirmed these decisions weren’t just instinct. The findings could influence how we think about learning in both children and AI.