As commercial environments grow increasingly reliant on autonomous technology in core operations, the ability for robots to intelligently adapt is critical to scaling automation. Brain Corp, the real-world AI company, has announced the release of BrainOS Clean 2.0, a major new software update designed to elevate how Tennant Company robotic floor cleaners operate, adapt, and […]
GMEX Robotics, a developer of AI-powered robotic technologies, says it is advancing the development and integration of its “Intelligent Robot Chassis”, which the company describes as “a key innovation designed to enhance the resilience, mobility, and operational safety of autonomous robots across industries”. In connection with this technological advancement, GMEX is in the process of […]
Toyota Material Handling Europe has introduced a new automated guided vehicle (AGV) system designed to handle a range of warehouse transport tasks and pallet types. Called Swarm Automation Transport, the system combines the company’s SAI125CB automated counterbalance stacker with its T-ONE control software platform, enabling coordination across automated and mixed fleets. The company says the […]
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 […]
Comau and Reis Robotics partner to deliver advanced automation systems across key industrial sectors
Comau and Reis Robotics have signed a cooperation agreement aimed at jointly developing and delivering advanced automation products and solutions for multiple industrial sectors through a coordinated technical and commercial approach. The agreement signed today by Comau and Reis Robotics, respectively Italian and German companies, testifies to the strength of the European technology framework in […]
As the gateway to Silicon Valley, San José Mineta International Airport (SJC) is bringing cutting-edge artificial intelligence directly into the passenger journey. The Airport has introduced an interactive AI-powered humanoid robot, named “Josie”, from local start-up, IntBot. Designed to greet travelers, answer questions and provide real-time information – Josie will help to turn one of […]
A massive new study comparing more than 100,000 people with today’s most advanced AI systems delivers a surprising result: generative AI can now beat the average human on certain creativity tests. Models like GPT-4 showed strong performance on tasks designed to measure original thinking and idea generation, sometimes outperforming typical human responses. But there’s a clear ceiling. The most creative humans — especially the top 10% — still leave AI well behind, particularly on richer creative work like poetry and storytelling.
New research shows that AI doesn’t need endless training data to start acting more like a human brain. When researchers redesigned AI systems to better resemble biological brains, some models produced brain-like activity without any training at all. This challenges today’s data-hungry approach to AI development. The work suggests smarter design could dramatically speed up learning while slashing costs and energy use.
AI tools designed to diagnose cancer from tissue samples are quietly learning more than just disease patterns. New research shows these systems can infer patient demographics from pathology slides, leading to biased results for certain groups. The bias stems from how the models are trained and the data they see, not just from missing samples. Researchers also demonstrated a way to significantly reduce these disparities.
A team of engineers at North Carolina State University has designed a polymer “Chinese lantern” that can rapidly snap into multiple stable 3D shapes—including a lantern, a spinning top, and more—by compression or twisting. By adding a magnetic layer, they achieved remote control of the shape-shifting process, allowing the lanterns to act as grippers, filters, or expandable mechanisms.