Author: Carter

It’s not just you — internet outages severe enough to disrupt everyday services for many people have become more frequent and wide-ranging, experts say.When internet services company Cloudflare crashed Tuesday — prompting significant, hourslong disruptions at companies ranging from X to OpenAI to Discord — it was the third major internet outage in the space of about a month.While there’s plenty of finger-pointing to go around, two things are clear: Popular consumer businesses increasingly rely on a handful of giant companies that run things more cheaply in the cloud, and when one of those companies isn’t extraordinarily careful, an obscure…

My son and I went to see the movie Tron: Ares, this past week. I was excited to see this 2025 sequel, because the original Tron movie from 1982 is a classic and one of my ’80s sci-fi technology favorites along with the movie War Games.Without ruining the plot for readers, the 2025 Tron, the latest installment in the franchise, flips the script on the 1982 version. Instead of a human entering into a computer and facing various tests and adventures, a computer “AI agent” comes to life and enters our real world. There are plenty of interesting twists and…

California-based Figure AI announced on Wednesday that it is officially retiring its Figure 02 (F.02) humanoid robots. The decision comes after an 11-month deployment at BMW Manufacturing’s Spartanburg, South Carolina plant. The pilot project was part of a collaboration to test humanoid robots on a real assembly line. The company highlighted that the F.02 units helped produce more than 30,000 BMW X3 vehicles and load over 90,000 sheet-metal parts during their deployment. Figure CEO Brett Adcock shared visuals of the robots covered in scratches, scuffs, and grime, signaling the realities of working in an industrial environment. Scratches as proof of…

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…

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…

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…

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…

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…

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…

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,…