Children will be taught how to budget and how mortgages work as the government seeks to modernise the national curriculum in England's schools. They will also be taught how to spot fake news and disinformation, including AI-generated content, following the first review of what is taught in schools in over a decade. Education Secretary Bridget Phillipson said the government wanted to revitalise the curriculum but keep a firm foundation in basics like English, maths and reading. Head teachers said the review's recommendations were sensible but would require sufficient funding and teachers. The government commissioned a review of the national curriculum and assessments in England last year, in the hope of developing a cutting edge curriculum that would narrow attainment gaps between the most disadvantaged students and their classmates.

Previous works demonstrated that eye-tracking data supplied meaningful information for reading ability detection, and have gained promising results by employing machine learning methods [1-18]. The eye-tracking based methods of reading ability detection fell into two main categories: the one estimated reading ability with finite number of classes [1-14], providing qualitative evaluation of subjects' reading ability. The other predicted reading ability scores with regression models [15-18], rendering quantitative evaluation of subjects' reading ability. Although the former exhibited satisfactory accuracy in detecting certain classes of abnormalities in reading, it lacked the capability of predicting exact scores of reading ability, which was emphasized in highly interactive educational environments (such as online learning) to make personal and intelligent reactions to subjects. However, precise score prediction of reading ability using eye-tracking data is not easy [15-18], especially when the sample data of subjects are few. In this paper, with few-shot learning strategy, a regression model for score prediction is proposed by combining Long Short Time Memory (LSTM) [19] and light-weighted neural networks. The proposed model exhibits higher accuracy than previous score prediction models tested on the same dataset.

Google's AI was the first to beat a GO champion a couple of years back (and it continues to teach itself how to play other games, too). Now, Chinese e-commerce giant Alibaba and technology major Microsoft's artificial intelligence (AI) models have scored more than humans in a Stanford University reading test. The Chinese online commerce company's deep neural network was the first to score higher than a human on the reading test. While Alibaba's model scored 82.44, Microsoft received 82.65 score in contrast with human performance, which stood at 82.304. Ultimately, the idea is to help AI systems process large amounts of written data to more accurately respond to human questions.

SAN FRANCISCO, Jan. 16 (Xinhua) -- Artificial intelligence programs built by China's e-commerce titan Alibaba scored better than humans on a Stanford University reading and comprehension test. "This is the first time that a machine has outperformed humans on such a test," Alibaba said in a statement on Monday. The test was designed by artificial intelligence experts at Stanford to measure computers' growing reading abilities. Alibaba's software was the first to beat the human race. Luo Si, chief scientist for natural language processing at Alibaba's AI research arm, called the milestone "a great honor," but also acknowledged that it is likely to lead to a significant number of workers losing their jobs to machines.

"This means objective questions such as'what causes rain' can now be answered with high accuracy by machines," says Institute of Data Science of Technologies' chief scientist of natural language processing Si Luo.

Google's AI was the first to beat a Go champion a couple of years back (and it continues to teach itself how to play other games, too). Now Bloomberg reports that Alibaba and Microsoft have both developed AI that scores better than humans on a Stanford University reading test. The Chinese online commerce company's deep neural network was the first to score higher than a human on the reading test. The 100,000-question quiz is considered to be the most authoritative measures of machine reading, according to Bloomberg. The highest humans have score on the measure is 82.304.

Call it one giant leap for robot-kind. Alibaba BABA, -0.51% said Monday that its artificial intelligence, or deep neural network model, used to help service customers in its billion-dollar'Singles Day' shopping events, beat out humans for the first time in a top reading comprehension test. Alibaba's Institute of Data Science and Technologies (iDST) said its AI model scored an 82.44 when it came to providing exact answers using the Stanford Question Answering Dataset (SQuAD) on Jan. 11. A strong start to 2018 with the first model (SLQA) to exceed human-level performance on @stanfordnlp SQuAD's EM metric! Next challenge: the F1 metric, where humans still lead by 2.5 points!https://t.co/Uq10Dm2Ss5 The machine reading-comprehension test has over 100,000 questions that an AI program -- or a human -- tries to answer after reading a related article on Wikipedia.

Call it one giant leap for robot-kind. Alibaba BABA-0.51% said Monday that its artificial intelligence, or deep neural network model, used to help service customers in its billion-dollar'Singles Day' shopping events, beat out humans for the first time in a top reading comprehension test. Alibaba's Institute of Data Science and Technologies (iDST) said its AI model scored an 82.44 when it came to providing exact answers using the Stanford Question Answering Dataset (SQuAD) on Jan. 11. The machine reading-comprehension test has over 100,000 questions that an AI program -- or a human -- tries to answer after reading a related article on Wikipedia. The questions range from simple ones such as "Where did the Super Bowl 50 take place?" to posers such as "What is the primary purpose of chloroplasts?" Microsoft Research Asia's AI model scored even higher -- 82.650 -- on the reading test, putting it at joint first with Alibaba, according to the SQuAD ranking.