The UCLA researchers have significantly increased the system's accuracy by adding a second set of detectors to the system, representing each object type with two detectors rather than one. The new design takes advantage of parallelization and scalability of optical-based computational systems.
Researchers have developed ultra-sensitive light-detecting systems that can view galaxies and planetary systems in superb detail. The system works at room temperature, unlike current technology which requires extremely low temperatures.
A UCLA-led research team developed FEAST, a faster and more accurate tool to determine microbiome origins. The software can analyze large genetic information datasets in just a few hours, offering insights into the unseen ecological processes affecting human health.
A new type of insulin called i-insulin was developed by UCLA researchers to help regulate blood sugar levels and prevent hypoglycemia. The smart insulin works like a 'smart key,' allowing glucose to enter cells while blocking excessive entry when blood sugar is normal.
Engineers at UCLA develop a method to weld the challenging AA 7075 aluminum alloy using titanium carbide nanoparticles, achieving tensile strength comparable to steel. This breakthrough may enable wider adoption of the alloy in mass-produced products.
Researchers have developed a computer vision system that uses a brain-inspired approach to learn and identify objects in real-world images. The system is trained on a vast amount of data from the internet, allowing it to build a detailed model of objects without external guidance.
A new delivery system combines blood platelets with stem cells to guide drugs into the bone marrow, where leukemia begins. In mice with acute myeloid leukemia, this therapy halted disease progression and achieved a cure rate of 87.5%.
UCLA engineers have developed a new computational tool that accurately models how magnetic materials interact with incoming radio signals at the nanoscale. This allows for the design of next-generation communications devices with improved data transport capabilities and reduced noise interference.
Researchers at UCLA Samueli School of Engineering created a highly efficient thin-film solar cell that generates more energy from sunlight than typical solar panels. The device converts 22.4 percent of incoming energy, surpassing the previous record set in 2015.
Researchers at UCLA have demonstrated a promising approach to treating chronic pain by using biomechanical forces to control cell proteins. The study shows that magnetically induced mechanical forces can reduce pain signals in neurons by increasing calcium ions and adapting the cells' response over time.
The UCLA-developed artificial neural network device can analyze large volumes of data and identify objects at the speed of light. It uses diffraction of light to process images without advanced computing programs or energy consumption.
Defect-free boron arsenide has a record-high thermal conductivity, drawing heat away from hotspots much faster than current materials. This breakthrough could improve performance and reduce energy demand in various electronic devices.
A team of UCLA engineers and scientists discovered a new and potentially highly effective type of weed killer using a genomics-driven approach. The new herbicide inhibits an enzyme necessary for plant survival, providing a promising alternative to current herbicides.
A UCLA-led energy research center will accelerate research on new types of chemistry and materials for rechargeable batteries, increasing capacity, stability and safety. The center aims to impact intermittent renewable energy sources and electric vehicles.
The new photodetector designed by UCLA has major improvements in speed, sensitivity and spectrum range, making it suitable for a wider range of applications including thermal imaging, environmental sensing and medical diagnosis.
A UCLA-led team developed a new 3D printer to create complex artificial tissues from multiple materials. The printer uses stereolithography and a custom-built microfluidic chip, enabling the creation of biocompatible structures with different properties.
A new algorithm developed by UCLA researchers more accurately predicts which people will survive heart failure and for how long. The algorithm provides significantly better predictions than current methods, allowing doctors to make personalized assessments and potentially reduce healthcare costs.
Researchers at UCLA Samueli School of Engineering have demonstrated that deep learning can enhance microscopic details in photos taken by smartphones, approaching the quality of laboratory-grade microscopes. This technique could bring high-quality medical diagnostics to resource-poor regions, using inexpensively produced attachments.
A UCLA research team has developed a method to create artificial superlattices comprising ultra-thin two-dimensional sheets with drastically different atomic structures. This allows for the confinement of electronic and optical properties to single active layers, enabling faster and more efficient semiconductors and advanced LEDs.
Researchers designed a new electrode that mimics the structure of tree branches to boost supercapacitors' performance. The device stores more energy and delivers faster power compared to existing designs.
Researchers developed a soft robot that mimics the stingray's flattened body shape and side fins, enabling the creation of bio-electromechanical systems. The robot features living heart cells, biomaterials, and flexible electrodes, allowing it to 'flap' its fins.
A team of UCLA engineers is developing an Internet of Things (IoT) system tailored to the challenges of the battlefield, enabled by data-driven decision making and secure platforms. The system aims to increase mission success and reduce casualties in rapidly changing situations.