The ever-growing volume of data of user-generated content on social media provides a nearly unlimited corpus of unlabeled data even in languages where resources are scarce. In this paper, we demonstrate that state-of-the-art results on two Thai social text categorization tasks can be realized by pretraining a language model on a large noisy Thai social media corpus of over 1.26 billion tokens and later fine-tuned on the downstream classification tasks. Due to the linguistically noisy and domain-specific nature of the content, our unique data preprocessing steps designed for Thai social media were utilized to ease the training comprehension of the model. We compared four modern language models: ULMFiT, ELMo with biLSTM, OpenAI GPT, and BERT. We systematically compared the models across different dimensions including speed of pretraining and fine-tuning, perplexity, downstream classification benchmarks, and performance in limited pretraining data.

Neural networks have become very popular in surrogate modeling because of their ability to characterize arbitrary, high dimensional functions in a data driven fashion. This paper advocates for the training of surrogates that are consistent with the physical manifold -- i.e., predictions are always physically meaningful, and are cyclically consistent -- i.e., when the predictions of the surrogate, when passed through an independently trained inverse model give back the original input parameters. We find that these two consistencies lead to surrogates that are superior in terms of predictive performance, more resilient to sampling artifacts, and tend to be more data efficient. Using Inertial Confinement Fusion (ICF) as a test bed problem, we model a 1D semi-analytic numerical simulator and demonstrate the effectiveness of our approach. Code and data are available at https://github.com/rushilanirudh/macc/

PeopleScout's proprietary talent acquisition technology Affinix has been named a gold winner in the HR Software Enterprise Product of the Year category in 2019 Best in Biz Awards. Winners were determined based on scoring from prominent editors and reporters from top-tier publications in North America, including AdWeek, Associated Press, Barron's, Consumer Affairs, USA Today and Wired. Your HCM System controls the trinity of talent acquisition, management and optimization - and ultimately, multiple mission-critical performance outcomes. Affinix creates an engaging hiring process that mimics the usability of the best consumer websites to drive improved results for the talent acquisition process. Designed in response to changes in candidate preferences, skills shortages, and digital disruption, Affinix provides access to the latest talent acquisition tools in one platform.

ANKARA – Turkey has dispatched a surveillance and reconnaissance drone to the breakaway north of ethnically divided island nation of Cyprus amid tensions over offshore oil and gas exploration, Turkey's state-run media said Monday. The Anadolu news agency said the Turkish-made Bayraktar TB2 drone took off from an airbase in Dalaman, Turkey, and touched down Monday at the airport in Gecitkala -- known as Lefkoniko in Greek, on Cyprus. Kudret Ozersay, foreign minister of the self-declared Turkish Cypriot state, told reporters Sunday that the Turkish deployment would be limited to unarmed drones as there was "no need" for armed ones. Earlier, Turkish Cypriot Prime Minister Ersin Tatar said there was an "urgent need" to address the security concerns of Turkey and the Turkish Cypriots in the eastern Mediterranean. It's unclear what the drones will be specifically tasked to do.

Artificial Intelligence may be just the thing to accelerate spray-on solar cell technology, which could revolutionize how consumers use energy. A research team at the University of Central Florida used Machine Learning, aka Artificial Intelligence to optimize the materials used to make perovskite solar cells (PSC). The Organic-Inorganic halide perovskites material used in PSC converts photovoltaic power into consumable energy. These perovskites can be processed in solid or liquid state, offering a lot of flexibility. Imagine being able to spray or paint bridges, houses and skyscrapers with the material, which would then capture light, turn it into energy and feed it into the electrical grid.

According to a new Forum-PwC report, released in Davos, Switzerland, there are eight ways in which artificial intelligence (AI) can help save the planet. The first being the use of autonomous and connected electric vehicles, as the technology will catalyse the transition to mobility on-demand. Through route and traffic optimisation, eco-driving algorithms, the programmed platooning of cars to traffic, and ride-sharing systems, transportation could contribute significantly less to greenhouse gas emissions. With distributed energy grids, AI could perfect the predictability of demand – and in turn supply – for renewable energy. This could amplify energy storage, efficiency, and load management, whilst also integrating renewables for better pricing for market incentives.

Oilfield service giant Schlumberger has inked a deal to expand its offerings of artificial intelligence products and services. Oilfield service giant Schlumberger has inked a deal to expand its offerings of artificial intelligence products and services. Oilfield service giant Schlumberger has inked a deal to expand its offerings of artificial intelligence products and services. Oilfield service giant Schlumberger has inked a deal to expand its offerings of artificial intelligence products and services. Oilfield service giant Schlumberger has inked a deal to expand the use of artificial intelligence technology in the oil patch.

Check out their product page … link Get the Chemometrics and Spectroscopy News in real time on Twitter @ CalibModel and follow us. Near Infrared " Raman Spectroscopy and NIR Spectroscopy as Possible AID in Localisation of Solitary Pulmonary Nodules" LINK NIR spectroscopy has potential for rapid on farm analysis of slurry nutrient content. Wouter Saeys, IFSConf LINK "Modeling for SSC and Firmness Detection of Persimmon Based on NIR Hyperspectral Imaging by Sample Partitioning and Variables Selection" LINK " Application of the NIR Spectroscopy in the Researches of Orthopedics Diseases" LINK "FT-NIR による油脂の迅速な品質管理" LINK "Accuracy improvement of quantitative analysis in VIS-NIR spectroscopy using the GKF-WTEF algorithm." LINK "Rapid determination of the content of digestible energy and metabolizable energy in sorghum fed to growing pigs by near-infrared reflectance spectroscopy." LINK "Characterization of the Processing Conditions upon Textural Profile Analysis (TPA) Parameters of Processed Cheese Using Near-Infrared Hyperspectral Imaging" LINK "Total aromatics of diesel fuels analysis by deep learning and near-infrared spectroscopy" LINK "Rapid Assessment of Soil Quality Indices Using Infrared Reflectance Spectroscopy" LINK "Quantitative Determination of the Fiber Components in Textiles by Near-Infrared Spectroscopy and Extreme Learning Machine" LINK "Non-Destructive Method for Predicting Sapodilla Fruit Quality Using Near Infrared Spectroscopy" LINK "Qualitative analysis for sweetness classification of longan by near infrared hyperspectral imaging" LINK " MENGUKUR BERAT VOLUME TANAH DI LAPANGAN MENGGUNAKAN NEAR INFRARED SPECTROSCOPY MEASUREMENT OF SOIL BULK DENSITY IN …" LINK "Hyperspectral Characteristics of Coastal Saline Soil with Visible/near Infrared Spectroscopy" LINK "Monitoring Soil Surface Mineralogy at Different Moisture Conditions Using Visible Near-Infrared Spectroscopy Data" LINK "Near infrared spectroscopy for assessing mechanical properties of Castanea sativa wood samples" Modulus of elasticity LINK " Development of near-infrared spectroscopic sensing system for online real-time monitoring of milk quality during milking" LINK " Advances in Near-Infrared Spectroscopy and Related Computational Methods" LINK "Morphological, Physicochemical and FTIR Spectroscopic Properties of Bee Pollen Loads from Different Botanical Origin" LINK "Fourier transform infrared imaging and quantitative analysis of pre-treated wood fibers: A comparison between partial least squares and multivariate curve resolution with alternating least squares methods in a case study" LINK "Antioxidant Activity of Blueberry (Vaccinium spp.)

Since the last decade, the auto industry has experienced technological breakthroughs that have transformed the automotive landscape. Keeping up with the growing demand, almost every major carmaker has launched or has plans to dive into the electric vehicles market. Mumbai -based ION Energy was born out of the desire to tackle the threat of climate degradation by enabling a much more environment-friendly mobility solution. Founded in 2016, ION acquired an 8-year-old French Battery Management System (BMS) developer – Freemens SAS, in a first of its kind cross-border acquisition. In 2018, ION came out of stealth mode and unveiled its first product UDYR, a portable battery for electric scooters and started commercialising its flagship BMS platform.

Iowa State engineers are developing machine learning tools that can quickly and cheaply design better solar cells.