The team of researchers at Kaunas University of Technology (KTU), Lithuania applied artificial intelligence (AI) methods to evaluate data of human embryo development. The AI-based system photographs the embryos every five minutes, processes the data of their development and notifies any anomalies observed. This increases the likelihood of choosing the most viable and healthy early-stage embryo for IVF procedures. The innovation was developed in collaboration with Esco Medical Technologies, a manufacturer of medical equipment.
The first moments of the Universe can be reconstructed mathematically even though they cannot be observed directly. Physicists from Göttingen University have greatly improved the ability of complex computer simulations to describe this moment, discovering that a complex network of structures can form in the first trillionth of a second after the Big Bang. These microscopic clumps have masses of only a few grams and fit into volumes much smaller than particles. Results were published in Physical Review D.
Researchers Mario Guarracino from the HSE Laboratory of Algorithms and Technologies for Networks Analysis in Nizhny Novgorod and Julius ?ilinskas and Algirdas Lančinskas from Vilnius University, have proposed a new method of testing for COVID-19. This group method allows results to be obtained 13 times faster as compared to individual testing of each sample. The research paper was published in the journal Scientific Reports.
Tactile paving is a clever solution to help the visually impaired navigate more safely using textured tiles. However, available camera-based support systems can have a hard time detecting tactile paving because they rely on predefined color thresholds. Recently, a team from Shibaura Institute of Technology, Japan, developed a novel image processing algorithm that overcomes this issue by dynamically calculating thresholds, obtaining a higher accuracy than previous methods in a variety of environmental conditions and locations.
COVID-19 has been shown to spread on airplanes by infected passengers, so minimizing the risk of secondary infections aboard aircraft may save lives. New research in the INFORMS journal Service Science uses two models to help solve the airplane seating assignment problem (ASAP). The models can lower the transmission risk of COVID-19 more so than the strategy of blocking the middle seats, given the same number of passengers.
The process of fabricating materials is complicated, time-consuming and costly. Too much of one material, or too little, can create problems with the product, forcing the design process to begin again. Advancements in the design process are needed to reduce the cost and time it takes to produce materials with targeted properties.
Russian scientists have proposed a new algorithm for automatic decoding and interpreting the decoder weights, which can be used both in brain-computer interfaces and in fundamental research. The results of the study were published in the Journal of Neural Engineering.
An international team of scientists from NTU Singapore, Brown University and the MIT has developed an AI platform that can infer how blood flows in 3D accurately. The ability to determine these characteristics accurately could be a critical support for clinicians in detecting and tracking the progression of vascular diseases since the abnormalities that the platform could spot may indicate the presence or progression of a vascular disease.
MIT researchers developed a deep learning neural network to aid the design of soft-bodied robots. The algorithm optimizes the arrangement of sensors on the robot, enabling it to complete tasks as efficiently as possible.
New paper sheds light on the higher-order architecture of financial systems and allow analysts to identify systemic risks like market bubbles or crashes.