NASA’s Swift space observatory is falling out of orbit. Can a commercial company build a spacecraft in nine months to save it?
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How to create distinguishable states for quantum systems
Researchers around the world are racing to develop new quantum-based systems for sensing, communication, computing, and control that have the promise of outperforming traditional systems. Creating stable, measurable, distinguishable quantum states, which would be the heart of any such system, is a daunting task.
Quantum states possess unique properties that can be exploited for developing novel information processing systems. Two key properties, stability and distinguishability, are hard to achieve, however. Extracting information from a quantum system depends on the distinguishability of quantum states, an intrinsic property associated with a property known as orthogonality. Nevertheless, no two Gaussian states (a widely studied class of quantum states) are orthogonal, and this yields an unavoidable error when attempting to distinguish them.
In addition, present quantum devices tend to remain stable only for a fraction of a second, and require complex protocols to distinguish states. Now, researchers at MIT and the University of Ferrara have found a new approach for creating easily distinguishable states that could help to enable the development of these new quantum-based devices.
Scientists develop wearable robotic system to restore hand function
Researchers at the Medical University of Vienna, in collaboration with ETH Zurich, the Technical University of Munich and Medical Faculty Belgrade, have developed a wearable neurorobotic system that combines electrical neurostimulation with hand exoskeletons. In a clinical trial involving 14 patients with hand impairments caused by neurological injury, the technology supported finger mobility, tactile perception and grip control. The results demonstrate the potential of personalised assistive systems for people living with the consequences of spinal cord or brain injury. The study has recently been published in the journal Science Advances.
Hand movements and the sense of touch are essential for everyday activities such as grasping, eating, dressing or personal hygiene. However, after damage to the central nervous system, motor and sensory impairments of the hand often persist. Conventional rehabilitation can achieve improvements, but does not always lead to sufficient restoration of hand function. There is therefore a great need for assistive technologies suitable for everyday use.
A research team led by study director Stanisa Raspopovic from the Center for Medical Physics and Biomedical Engineering at MedUni Vienna has developed the “SensoExo” system for assisting people with hand sensorimotor impairements. It combines a wearable hand exoskeleton with a custom-fitted neurostimulation sleeve. The sleeve stimulates specific nerves and muscles in the forearm through the skin. Sensors on the fingers detect touch and gripping forces and translate this information into electrical stimulation, providing users with tactile feedback. In addition, functional electrical stimulation can assist users open and close their fingers more easily.
New AI math tool could sharpen image editing, drug discovery and simulations
Clarkson University researchers have developed a new mathematical tool that could make artificial intelligence systems more accurate, controllable and useful across applications ranging from image editing to drug discovery.
Clarkson University postdoctoral researcher Zander Blasingame and Chen Liu, professor of electrical and computer engineering, created a new family of numerical solvers called Rex that improves how generative AI models move between random noise and meaningful data. Their work, “Rex: A Family of Reversible Exponential (Stochastic) Runge-Kutta Solvers,” will be presented this summer at the International Conference on Machine Learning (ICML 2026), and an earlier version of the paper is available on the arXiv preprint server.
Diffusion and flow-matching models are the foundation of many modern generative AI systems, including image generators, molecular design tools and scientific simulators. They work by gradually transforming random noise into useful outputs. While that process is effective for creating new content, many important applications require running it in reverse. Existing methods often introduce errors that make it difficult to accurately recover the original information.
The International Space Station orbits Earth roughly every 90 minutes, yet for years no American spacecraft could reach it — a gap a single private company stepped in to close
When the Space Shuttle retired in July 2011, the United States lost the ability to reach the very space station it had built — and for nearly nine years, American astronauts hitched rides on Russian Soyuz capsules at up to $90 million per seat. Then a private company that had failed its first three rockets quietly closed the gap.
Neurobiological Mechanisms Underlying Qualia
Many of my essays are quite old. They were, in effect, written by a person who no longer exists in that my views, beliefs, and overall philosophy have grown and evolved over the years. Consequently, if I were to write on the same topics again, the resulting essays might differ significantly from their current versions. Rather than edit my essays to remain contemporary with my views, I have chosen to preserve them as a record of my past inclinations and writing style. Thank you for understanding.
Elon Musk UPDATE Neuralink 4.0 Chip Destroy Entire BCI Industry!
Elon Musk UPDATE Neuralink 4.0 Chip introduces Neuralink’s next-generation O1 brain chip developed with Samsung.
This video explores the latest progress of the Neuralink 4.0 chip, including movement restoration, speech recovery, Blindsight vision technology, and how Neuralink patients are using brain-computer interfaces today.
We also examine Samsung’s 4nm partnership, the new R1 surgical robot, and competition from Synchron, Paradromics, and China’s NEO system to understand how the Neuralink 4.0 chip could shape the future of the BCI industry.
If you’re interested in Elon Musk, AI, neuroscience, and future medical technology, this breakdown explains why many experts view the Neuralink 4.0 chip as one of the most important developments in brain-computer interfaces.
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