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The LR Mate 200iD industrial robot arm includes miniaturized components for small reach envelopes. Source: FANUC Miniaturization in robotics involves reducing the size of robots and their components while increasing their power. It’s about putting sensors, computers, power management, and actuators into leaner footprints without sacrificing precision or reliability. These new machines can perform tasks in places too small for larger machines or humans to reach, making them optimal for factories, hospitals, and mines. Advantages of compact robotic systems The shift toward miniaturization offers significant benefits, which is why it is being developed and used in many scientific and industrial…

Apple is quietly hiring for a major new goal: home robots. The company is looking for robotics engineers, AI experts, and hardware specialists. These hires suggest Apple wants to build more than just smart devices — it may want real, physical robots living with you.Rumors say Apple is working on tabletop robots that could sit on a shelf or desk. These robots might help with everyday tasks. They could act as AI companions, help control your smart home, or just be a friendly presence. This project seems to be led by Apple’s internal AI and hardware teams.Some insiders even suggest…

In an age where artificial intelligence and machine learning are increasingly making significant strides in healthcare, a recent study published by Liu et al. in BMC Endocrine Disorders brings a wave of optimism for managing diabetes. Researchers took on the challenge of predicting hypoglycemic events in hospitalized patients with type 2 diabetes—a population particularly vulnerable to sudden dips in blood sugar levels. The study revolves around the development and rigorous validation of a novel hypoglycemia risk prediction model, potentially marking a turning point in how diabetes care is approached in clinical settings. Hypoglycemia, a condition characterized by abnormally low blood…

Summary Google Research has introduced “nested learning,” a new way to design AI models that aims to mitigate or even avoid “catastrophic forgetting” and support continuous learning. In their NeurIPS 2025 paper, Google researchers highlight a core problem: large language models can’t build new long-term memories after training. After training, these models only keep what’s in their current context window or from pretraining. Expanding the window or retraining just delays the problem, like treating amnesia with a bigger notepad. Current models are mostly static after pretraining. They can perform learned tasks but can’t pick up new abilities beyond their context,…

Quantum machine learning represents a rapidly developing computational field that explores the potential of quantum processors to enhance and accelerate machine learning tasks. Su Yeon Chang from Los Alamos National Laboratory and M. Cerezo lead an effort to provide a comprehensive overview of this emerging discipline, clarifying its core principles and current limitations. This work surveys the diverse applications of quantum machine learning, ranging from optimisation and supervised learning to generative modelling, and critically assesses the evidence supporting claims of quantum advantage. By carefully examining the interplay between theoretical guarantees, practical implementations, and classical benchmarks, the authors offer a valuable…

From left: Panelists Matt Wilson, Mark Wallin, Lawrence Bader, Jason Theis and moderator Dustin Lancy discuss the evolution of smart trailer technology. (Hendrickson USA) November 21, 2025 3:04 PM, EST Key Takeaways: Smart trailer technology can dramatically improve all aspects of a trucking fleet’s operations.Data gleaned from brakes and tires can provide crucial data that helps fleets avoid inspection violations.Ensuring shop technicians are current on the latest technology is critical. [Stay on top of transportation news: Get TTNews in your inbox.] CANTON, Ohio — Smart trailer technology is evolving to cater to a fleet’s needs and can dramatically improve all…

In today’s digital-first economy, the Internet of Things (IoT) is reshaping industries worldwide. Among all sectors, retail has been one of the biggest beneficiaries of this technological transformation. With IoT, retailers are reimagining the shopping experience through automation, real-time insights, and data-driven personalization.From intelligent shelves that restock themselves to connected checkout systems and smart supply chains, the IoT revolution in retail is enabling businesses to become more efficient, responsive, and customer-centric than ever before.What Is the Internet of Things (IoT) in Retail?The Internet of Things refers to a network of physical devices—such as sensors, cameras, RFID tags, and smart shelves—that…

Visitors walk into the venue of the 2025 China 5G + Industrial Internet Conference in Wuhan, central China’s Hubei Province, Nov. 21, 2025. (Xinhua/Xiao Yijiu)WUHAN, Nov. 23 (Xinhua) — China has launched a commercial trial of satellite Internet of Things (IoT) services to diversify the supply in the satellite communication market and support the safe and healthy development of emerging industries such as commercial aerospace and the low-altitude economy, the Science and Technology Daily reported Saturday.According to the 2025 China 5G + Industrial Internet Conference held in Wuhan, central China’s Hubei Province, the commercial trial will last for two years…

An employee of the Social Security Administration (SSA) filed allegations that Department of Government Efficiency (DOGE) employees uploaded the Social Security information of millions of Americans to an unsecured cloud server. The complaint was filed by Charles Borges, the SSA’s Chief Data Officer (CDO). Borges submitted the protected whistleblower disclosure to the Office of Special Counsel. According to his attorneys, employees in the DOGE are alleged to have copied Social Security information into a vulnerable cloud environment without authorization from Borges. The data is said to contain information on over 300 million Americans, including names, family information, birthplace and birthday,…

Cyber Security and Digital Data Protection Concept. Icon graphic interface showing secure firewall technology for online data access defense against hacker, virus and insecure information for privacy.gettyIn this era of rapid technological advancement, protecting critical systems increasingly relies on AI, automation, and behavioral analytics. Experience and statistics consistently show that trust is a powerful tool in cybersecurity, while human judgment remains its weakest point. Even with today’s advanced cyber defenses, the statistics are sobering. The Mimecast report showed that human error, ranging from credential misuse to careless actions within organizations, was responsible for 95% of data breaches in 2024. 95%…