AI Sonar Hand Tracking

Researchers have developed a system called WatchHand that turns ordinary smartwatches into real-time hand-tracking devices using AI-powered sonar. Instead of relying on cameras or extra sensors, the smartwatch emits inaudible sound waves through its speaker; these waves bounce off the user’s hand and are captured by the microphone. A machine-learning model processes the returning echo profile to reconstruct the hand’s position and finger movements in 3D, in real time, all directly on the device.

This approach is significant because it works on off-the-shelf smartwatches without additional hardware, making it scalable and practical for everyday use. Tests with participants showed it can reliably track gestures like finger movements and wrist rotations, enabling applications such as gesture-based control of computers, AR/VR interaction, and assistive technologies. The system also preserves privacy by processing data locally, though it still has limitations, such as reduced accuracy while the user is moving and current compatibility mainly with Android devices.

More information:

https://interestingengineering.com/innovation/ai-smartwatch-hand-tracking-sonar-watchhand

Digital Twin Hearts Improve Arrhythmia Care

A recent clinical study describes a novel approach to treating ventricular tachycardia, a life-threatening heart rhythm disorder responsible for hundreds of thousands of deaths annually. Researchers at Johns Hopkins University created highly detailed “digital twins” of patients’ hearts using MRI scans and other personalized data. These virtual models allowed doctors to simulate different treatment strategies before performing the actual procedure, helping identify the most effective areas to target.

In a small trial of 10 patients, the results were promising: after more than a year, eight patients experienced no recurrence of arrhythmia, and most were able to stop medication. The approach may also reduce procedure time and improve safety by avoiding unnecessary damage to healthy tissue. However, researchers emphasize that this is an early-stage study, and larger trials are needed to confirm effectiveness and expand the method to other conditions such as atrial fibrillation or even cancer treatment.

More information:

https://apnews.com/article/heart-disease-arrhythmia-ventricular-tachycardia-73086c0c3df8758380bef539940fa826

Ultra-Low-Power Face Detection Chip

Nvidia researchers have developed an ultra–low-power, always-on face detection system-on-chip (SoC) capable of identifying human faces in under a millisecond, addressing a key challenge in continuous computer vision: energy consumption. Traditional vision systems can require around 10 watts, which is too high for constant operation, but this chip uses less than 5 milliwatts while maintaining about 99% detection accuracy. It achieves this by activating only briefly (processing each frame in microseconds) and remaining fully powered for just a small fraction of time, enabling efficient real-time performance.

The system’s efficiency comes from a specialized architecture called Alpha-Vision, which combines a lightweight CPU, a deep-learning accelerator, and local SRAM memory to avoid costly data transfers. By storing data locally and using a race-to-sleep strategy (quickly completing computations and then entering low-power mode) it minimizes energy use even further. This design enables practical applications such as laptops that automatically turn screens on/off based on user presence, as well as always-on vision in robotics, drones, and autonomous vehicles, where continuous sensing must not drain power.

More information:

https://spectrum.ieee.org/face-recognition-nvidia-chip-soc

China Approves World’s First Commercial Brain Implant

China has approved the world’s first brain implant for commercial use, marking a major milestone in the development of brain–computer interface (BCI) technology. The device is designed primarily for people with spinal cord injuries, enabling them to regain some lost motor function, such as hand movement, by translating brain signals into commands for external devices. Unlike earlier experimental systems, this implant has moved beyond clinical trials into the market, signaling a shift from research to real-world medical application.

The approval also reflects China’s broader ambition to lead in emerging technologies, including BCIs, where it is competing with efforts in the United States and elsewhere. While technology shows promise to restore mobility and improving quality of life, it also raises important ethical and safety considerations, such as long-term effects, data privacy, and the risks of invasive procedures. Overall, the development represents both a breakthrough in assistive medicine and a significant step toward more widespread use of BCIs in the coming years.

More information:

https://www.scientificamerican.com/article/china-just-approved-its-first-brain-implant-for-commercial-use-a-world-first/

Ukraine Shares Battlefield Data for AI

Ukraine has announced that it is opening access to its vast trove of battlefield data to allied countries and companies so they can train artificial intelligence systems, particularly for drone warfare. The dataset includes millions of annotated images collected from thousands of combat flights, offering highly detailed insights into real battlefield conditions. To manage this securely, Ukraine has developed a controlled platform that allows partners to train AI models while protecting sensitive military information.

This initiative is intended to accelerate the development of autonomous and AI-assisted military technologies, strengthening Ukraine’s technological edge while deepening cooperation with international partners. It also reflects a broader shift toward data-driven warfare, with Ukraine expanding the use of unmanned systems and even forming specialized drone interceptor units. By sharing its combat experience in data form, Ukraine aims to both enhance its own defense capabilities and position itself as a key contributor to global military innovation.

More information:

https://www.reuters.com/business/aerospace-defense/ukraine-opens-battlefield-data-access-allies-ai-models-2026-03-12/

Robot Gym

Germany has launched one of the world’s largest humanoid robot training centers, designed to help robots learn skills needed for real-world tasks. The facility can train more than 100 humanoid robot models from multiple companies at the same time and recreates everyday and industrial environments for practice. Robots learn by observing humans and repeating actions, gradually mastering around 45 basic atomic skills such as grasping objects, moving items, and placing them correctly.

These fundamental abilities are intended to form the building blocks for more complex tasks in sectors like manufacturing, logistics, and service work. A major goal of the center is to generate large amounts of data to improve AI models that control robots. Engineers expect the facility to produce tens of thousands of data entries every day as robots perform repeated actions in realistic scenarios. By collecting and sharing this data, researchers hope to develop a powerful shared AI system that can help different humanoid robots learn faster and collaborate better.

More information:

https://interestingengineering.com/ai-robotics/worlds-largest-humanoid-robot-training-center

IEEE Access 2026 Article

Recently, I co-authored an open-access journal paper that was published at IEEE Access. The paper is entitled “An Augmented Reality System With an Offline LSTM-Based Fault Recognition Model for Sewer Pipeline Inspection”. The paper introduces XR5.0, a novel framework that combines artificial intelligence with extended reality (XR) technologies to support the vision of Industry 5.0, where advanced digital systems are designed around human needs and capabilities. The research proposes a human-centric XR paradigm that integrates immersive environments with AI to enhance collaboration between workers and intelligent machines.

A key component of the approach is the use of human-centred digital twins, which create digital representations of users to enable XR systems to adapt training, guidance, and information delivery according to individual skills, context, and tasks. The framework also integrates advanced AI techniques (including explainable AI, generative AI, active learning, and neurosymbolic AI) to provide real-time decision support and personalized learning within immersive environments. These capabilities enable practical applications such as industrial training, remote maintenance, assembly guidance, and product design simulations.

More information:

https://ieeexplore.ieee.org/abstract/document/11363212

The World’s Smallest QR Code

Researchers at the Technical University of Vienna (TU Wien), working with the data-storage company Cerabyte, have created the world’s smallest QR code, measuring only 1.98 square micrometers. The structure is so tiny that it cannot be seen with the naked eye or even with a standard optical microscope; it can only be detected using an electron microscope. The code was etched into an ultra-thin ceramic layer using focused ion beams, producing individual pixels about 49 nanometers wide, roughly ten times smaller than the wavelength of visible light. 

Beyond its novelty, the breakthrough demonstrates a potential method for extremely dense and durable data storage. Ceramic materials used in the experiment are highly stable and resistant to environmental damage, meaning information written in them could remain readable for centuries or even millennia without needing electricity or cooling. Researchers suggest that technologies based on this approach could enable ultra-long-term archival storage, possibly allowing enormous amounts of data to be preserved on very small surfaces.

More information:

https://www.popsci.com/technology/worlds-smallest-qr-code/