SynJax: Structured Probability Distributions for JAX

The development of deep learning software libraries enabled significant progress in the field by allowing users to focus on modeling, while letting the library to take care of the tedious and time-consuming task of optimizing execution for modern hardware accelerators. However, this has benefited only particular types of deep learning models, such as Transformers, whose primitives map easily to the vectorized computation. The models that explicitly account for structured objects, such as trees and segmentations, did not benefit equally because they require custom algorithms that are difficult to implement in a vectorized form. SynJax directly addresses this problem by providing an efficient vectorized implementation of inference algorithms for structured distributions covering alignment, tagging, segmentation, constituency trees and spanning trees. With SynJax we can build large-scale differentiable models that explicitly model structure in the data. The code is available at https://github.com/deepmind/synjax

Results of the WMT15 Tuning Shared Task

This paper presents the results of the WMT15 Tuning Shared Task. We provided the participants of this task with a complete machine translation system and asked them to tune its internal parameters (feature weights). The tuned systems were used to translate the test set and the outputs were manually ranked for translation quality. We received 4 submissions in the English-Czech and 6 in the Czech-English translation direction. In addition, we ran 3 baseline setups, tuning the parameters with standard optimizers for BLEU score

The contribution of cng powered vehicles in the transition to zero emission mobility example of the light commercial vehicles fleet

The aim of paper was to discuss contribution of bi-fuel CNG powered light commercial vehicles to the well-to-wheel CO2 equivalent emissions, both today and in the coming decades in which the development of new fuels and new vehicles is expected. Field research was done in Belgrade, during one year, using Euro 5 diesel/LPG/CNG light commercial vehicles driving under low vehicle speed, low engine load, low exhaust gas temperature and high number of stops. The well-to-wheel as neutral methodology was applied for understanding of each fuel pathway in terms of reducing greenhouse gas emissions and increasing energy efficiency. Calculation showed that total energy consumption per kilometre is the lowest for diesel vehicles since petrol/LPG and petrol/CNG vehicles use 21% and 7% more energy. Tank-to-wheel emission of CO2 equivalent is most favorable for petrol/CNG with 28.8% and 6.7% less CO2 equivalent with petrol/LPG and diesel vehicles. The same conclusion brings well-to-wheel analysis showing that diesel/CNG CO2 equivalent emission is 13.5% less than petrol/LPG, apropos 1.5% less than diesel operated vehicles considered within this field research. Figures are not as high as previous, due to the results of well-to-tank emission, that were most favorable for petrol/LPG powered vehicles, with almost 51% and 32% better results regarding to petrol/CNG and diesel, respectively. Within same time, lowest fuel cost per kilometre was achieved by petrol/CNG vehicles, with 32% and 35% less cost than petrol/LPG and diesel vehicles. The available CNG technology should not be neglected, waiting for new solutions to be proven

The contribution of cng powered vehicles in the transition to zero emission mobility example of the light commercial vehicles fleet

The aim of paper was to discuss contribution of bi-fuel CNG powered light commercial vehicles to the well-to-wheel CO2 equivalent emissions, both today and in the coming decades in which the development of new fuels and new vehicles is expected. Field research was done in Belgrade, during one year, using Euro 5 diesel/LPG/CNG light commercial vehicles driving under low vehicle speed, low engine load, low exhaust gas temperature and high number of stops. The well-to-wheel as neutral methodology was applied for understanding of each fuel pathway in terms of reducing greenhouse gas emissions and increasing energy efficiency. Calculation showed that total energy consumption per kilometre is the lowest for diesel vehicles since petrol/LPG and petrol/CNG vehicles use 21% and 7% more energy. Tank-to-wheel emission of CO2 equivalent is most favorable for petrol/CNG with 28.8% and 6.7% less CO2 equivalent with petrol/LPG and diesel vehicles. The same conclusion brings well-to-wheel analysis showing that diesel/CNG CO2 equivalent emission is 13.5% less than petrol/LPG, apropos 1.5% less than diesel operated vehicles considered within this field research. Figures are not as high as previous, due to the results of well-to-tank emission, that were most favorable for petrol/LPG powered vehicles, with almost 51% and 32% better results regarding to petrol/CNG and diesel, respectively. Within same time, lowest fuel cost per kilometre was achieved by petrol/CNG vehicles, with 32% and 35% less cost than petrol/LPG and diesel vehicles. The available CNG technology should not be neglected, waiting for new solutions to be proven

Study of corrosion resistance of chromium-nickel steel in calcium - hypochlorite solution. Part 1. Steels uranus b6

Corrosion resistance of Cr - Ni (special steels) specimen is tested by electrochemical methods, numerical method of linear polarization and polarization resistance method in calcium-hypochlorite (Ca(OCl)2) solutions. With increasing of Ca(OCl)2 concentration, pH value of the solution increases, as well as active chlorine concentration and corrosion activity of the medium. According to the quantitative method of the corrosion resistance determination it can be concluded that the steels tested in 1 wt % Ca(OCl)2 solution are resistant, in 10 wt % solution constant, and in 50 wt % suspension less resistant. URANUS B6 showed the best corrosion resistance of all tested chromium - nickel steels in all tested corrosion mediums