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想了解應徵者是否具備機器學習、開發分析程式的能力，最有效的方式就是實際操作。AIdea提供線上評量服務，開闢專屬場域，讓您所屬機構聘用大數據、AI領域人才時，可利用本服務評估應試者的專業程度。評量試題領域包含物件辨識、分類問題、預測問題等，可根據用人需求挑選符合專業的試題。題目、資料、評估方式，一一準備齊全，只需註冊就能協助人力資源單位提供更詳實的能力評鑑。 歡迎有興趣徵才的業者與我們團隊連繫 admin.AIdea@itri.org.tw
Marine litter has become a critical pollution issue which is worthy of global attention. Scientific studies show that artificial waste has posed a tremendous and irreversible threat to our environment and economy.Compared to air and water pollution, the geographic scale of marine waste is far more larger, which results in difficulties for finding the connection between the pollution source and polluted area.There are high discrepancies in artificial waste in appearances, size, weights and ingredients, which makes it challenging to identify these pollutants with single detector or utilizing methods commonly used in examining heavy metals and pesticide.Although the reduction of artificial waste is the fundamental way to solve the pollution issue, however, it’s challenging and time-consuming. Thus, terminal solutions such as beach cleanup have played an important role in alleviating this crisis.Beach Litter Rapid Assessment allows researchers to conduct sampling survey in a wide range of locations in a short period of time. It is one of the examination methods that helps quantify the marine wastes and assist scientists decide the location where beach cleanup should be held. The sampling survey is conducted by each observation station every ten kilometers of the shoreline. Taiwan has 121 observation stations in the 2210-kilometer coastline.This topic focuses on exploiting the data collected by one observatory to predict the sampling survey results of nearby observatories. This method is expected to lower the amount of observation station and the involvement of human labor. Reference[1] https://www.sow.org.tw/sites/sow/files/hai_an_fei_qi_wu_kuai_shai_diao_cha_zhi_yin_190802.pdf
Sentiment analysis is one of the most significant applications of natural language processing (NLP) nowadays. By adopting it, sentiments in phrases or sentences as well as inclinations of comments can be determined, besides, a more precise comment system for the database can also be established.In this topic, participants shall train AI models to analyze the brief comments that are collected and determine whether a piece of similar writing is positive or negative.Reference[1] https://ai.stanford.edu/~amaas/data/sentiment/[2] https://paperswithcode.com/dataset/sst
Automated optical inspection (AOI) [1] is an automated visual inspection of printed circuit board (PCB) (or LCD,transistor) manufacture where a camera autonomously scans the device under test for both catastrophic failure (e.g. missing component) and quality defects (e.g. fillet size or shape or component skew). It is commonly used in the manufacturing process because it is a non-contact test method. It is implemented at many stages through the manufacturing process including bare board inspection, solder paste inspection (SPI), pre-reflow and post-reflow as well as other stages. The Institute of Electronics and Optoelectronics in Industrial Technology Research Institute(ITRI) has spent years on developing flexible displays, hoping to elevate the production quality with AOI technology during the pilot run. This time we have invited experts from different fields to join us, and focus on identifying defect classifications of AOI image data that are offered so as to elevate the identification efficiency of AOI through statistical science.Reference[1] https://en.wikipedia.org/wiki/Automated_optical_inspection
Making machines understand the meanings of human speech has always been a common goal for industries and the academia. The techniques of speech recognition has been studied for a few decades, and has kept gaining momentum as the innovation in artificial intelligence grew significantly. Will there be more breakthroughs in speech recognition of Mandarin Chinese? Come participate in this challenge and show that you are an expert in speech recognition of Mandarin Chinese! The data set of this topic is selected from “artificial intelligent voice data” released by the Ministry of Science and Technology (MOST). It contains four Classic Chinese Novels: Dream of the Red Chamber, Romance of the Three Kingdoms, Journey to the West and Water Margin, as well as traffic reports by the Police Broadcasting Service (Pbs), the news broadcasted by National Education Radio, etc. There are 8 categories, and the participants should utilize speech recognition techniques to determine the category of each file. Source of the materials: Artificial intelligent voice data
