An innovative method using superconducting sensors precisely measures the recoil energy of lithium-7 nuclei, setting a lower limit on the spatial extent of neutrino wavepackets, advancing understanding of neutrino properties and weak nuclear decays.
Category: innovation
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Groundbreaking Technology Uses Acoustic Waves to Move Living Cells Without Contact This innovation could replace bulky lab equipment, revolutionizing drug discovery and enabling rapid, personalized treatment testing. Born from a student project levitating diamonds, the tech has evolved into a compa
This AI Paper Unveils a Reverse-Engineered Simulator Model for Modern NVIDIA GPUs: Enhancing Microarchitecture Accuracy and Performance Prediction
Posted in innovation, robotics/AI | Leave a Comment on This AI Paper Unveils a Reverse-Engineered Simulator Model for Modern NVIDIA GPUs: Enhancing Microarchitecture Accuracy and Performance Prediction
GPUs are widely recognized for their efficiency in handling high-performance computing workloads, such as those found in artificial intelligence and scientific simulations. These processors are designed to execute thousands of threads simultaneously, with hardware support for features like register file access optimization, memory coalescing, and warp-based scheduling. Their structure allows them to support extensive data parallelism and achieve high throughput on complex computational tasks increasingly prevalent across diverse scientific and engineering domains.
A major challenge in academic research involving GPU microarchitectures is the dependence on outdated architecture models. Many studies still use the Tesla-based pipeline as their baseline, which was released more than fifteen years ago. Since then, GPU architectures have evolved significantly, including introducing sub-core components, new control bits for compiler-hardware coordination, and enhanced cache mechanisms. Continuing to simulate modern workloads on obsolete architectures misguides performance evaluations and hinders innovation in architecture-aware software design.
Some simulators have tried to keep pace with these architectural changes. Tools like GPGPU-Sim and Accel-sim are commonly used in academia. Still, their updated versions lack fidelity in modeling key aspects of modern architectures such as Ampere or Turing. These tools often fail to accurately represent instruction fetch mechanisms, register file cache behaviors, and the coordination between compiler control bits and hardware components. A simulator that fails to represent such features can result in gross errors in estimated cycle counts and execution bottlenecks.
Over the past few decades, breakthroughs in cancer biology at the molecular level have revolutionised cancer treatment. Enhanced precision in radiotherapy has not only reduced patient side-effects, but also enabled the delivery of high-dose stereotactic extracranial irradiation with unprecedented accuracy. Simultaneously, the number of medical therapies available for clinical care continues to grow. Despite the progress made with combined chemoradiotherapy, only a few drug–radiotherapy combinations have received clinical approval, leaving a vast landscape of untapped opportunities for basic, translational, and clinical research, particularly in early-phase drug–radiotherapy trials.
Researchers at the Max Planck Institute for the Structure and Dynamics of Matter (MPSD) have developed an innovative method to study ultrafast magnetism in materials. They have shown the generation and application of magnetic field steps, in which a magnetic field is turned on in a matter of picoseconds.
The work has been published in Nature Photonics.
Magnetic fields are fundamental to controlling the magnetization of materials. Under static or slowly varying conditions, a material’s magnetization aligns with the external field like a compass needle. However, entirely new magnetization dynamics emerge when magnetic fields change on ultrafast timescales—faster than the material’s response time.
In a significant breakthrough that could accelerate the progress of quantum technologies, researchers from the USC
<span class=””>Founded in 1880, the <em>University of Southern California</em> is one of the world’s leading private research universities. It is located in the heart of Los Angeles.</span>
A revolutionary timekeeping breakthrough could be on the horizon as scientists explore the thorium-229 nuclear optical clock, an innovation that may surpass today’s atomic clocks.
By manipulating nuclear quantum states with lasers, researchers are pushing the boundaries of precision and stability in time measurement. Though the journey has spanned decades and major technical hurdles remain, recent experimental milestones have brought this futuristic clock closer to reality. If successful, it could reshape our understanding of time and the universe itself.
Pushing the Limits of Timekeeping.
The new imaging technique allows scientists to see inside working batteries and could pave the way for better performance.
Scientists at Rady Children’s Institute for Genomic Medicine, and the Department of Neurosciences and Pediatrics at the University of California, San Diego, have made a significant breakthrough in understanding the causes of spina bifida, a serious birth defect affecting thousands of newborns each year.
The new study, published in Nature, reveals critical insights into how this condition develops and opens the door for potential future treatments.
Spina bifida, or meningomyelocele, occurs when the spine and spinal cord do not form properly during early pregnancy. Most often identified during prenatal ultrasound, the condition can lead to lifelong disabilities of the lower limbs and bladder. Newborn sequencing is not routinely used in this condition because causes remain unknown. While researchers have long understood certain environmental risk factors, the new study provides a deeper look into the molecular mechanisms underlying the condition.