If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
The most popular Topic Modeling algorithm is LDA, Latent Dirichlet Allocation. Let's first unravel this imposing name to have an intuition of what it does. Figure 1 below describes how the LDA steps articulate to find the topics within a corpus of documents. "A document is generated by sampling a mixture of these topics and then sampling words from that mixture" (Andrew Ng, David Blei and Michael Jordan from the LDA original paper). NB: In the Figure 1 above, we have set K 3 topics and N 8 words in our vocabulary for illustration ease.
Microsoft (NASDAQ:MSFT) founder Bill Gates was speaking to a group of college students in 2004. According to The New York Times, Gates was a bit concerned about the decline in the number of computer science majors, as well as the notion that the field had matured and there weren't many breakthroughs left to achieve in the area. One student expressed doubt that there would ever be another tech company as successful as Microsoft. ''If you invent a breakthrough in artificial intelligence, so machines can learn, that is worth 10 Microsofts.'' Fast-forward to today, and of course someone has figured it out.
Artificial intelligence has a transformative power. AI changed business, banking, governmental processes, marketing, and any other industry you could think of. Technology has become an inevitable aspect of the way we approach the learning process. During UNESCO's Mobile Learning Week 2019, the participants focused on finding solutions to ensure equitable and inclusive use of AI in education. The organization is focused on offering equal learning opportunities to all people regardless of ethnicity, location, gender, and socio-economic status.
Accelerator chips that use light rather than electrons to carry out computations promise to supercharge AI model training and inference. In theory, they could process algorithms at the speed of light -- dramatically faster than today's speediest logic-gate circuits -- but so far, light's unpredictability has foiled most attempts to emulate transistors optically. Boston-based Lightelligence, though, claims it's achieved a measure of success with its optical AI chip, which today debuts in prototype form. It says that latency is improved up to 10,000 times compared with traditional hardware, and it estimates power consumption at "orders of magnitude" lower. The technology underpinning it has its origins in a 2017 paper coauthored by CEO Yichen Shen.
Now is the best time to buy a laptop--even if you're not a student. Here's what you need to know to find the best deals! 'Tis the season for heading off to school for another year of higher learning. But at the very least, there are some cool back-to-school gadgets to get excited about – including high-tech devices to keep you organized, productive and entertained while in a dorm room. And the good news is you don't have to blow your budget to get some great gear.
Why Partnership Strategy, not Technology, drives Digital Transformation? Known from the 17th century (Blaise Pascal invoked it in his famous wager, which is contained in his Pensées, published in 1670), the idea of expected value is that, when faced with a number of actions, each of which could give rise to more than one possible outcome with different probabilities, the rational procedure is to identify all possible outcomes, determine their values (positive or negative) and the probabilities that will result from each course of action, and multiply the two to give an "expected value", or the average expectation for an outcome; the action to be chosen should be the one that gives rise to the highest total expected value. Decision theory (or the theory of choice) is closely related to the field of game theory and is an interdisciplinary topic, studied by economists, statisticians, psychologists, biologists, political and other social scientists, philosophers, and computer scientists. The need for decision under uncertainty has never been stronger. Although the digital realm is evolving fast, the partnership strategical choice remains a human prerogative and a key driver of the digital ecosystem evolution.
Jan Buytaert is chief information officer at GO!, the public body for state schools in the Flanders region of Belgium. His role is to initiate new IT projects and prove their value to the business, with the hope that business decision makers and policymakers give them the green light. The projects can have huge implications for education in Belgium, as the region has around 750 schools and institutions, and 210,000 students. "There wasn't always a lot of digital innovation so I had to work hard trying to convince management and policymakers that we should invest in tech and digital education, and change the way of teaching and learning," Buytaert tells NS Tech. In 2016, Buytaert and his team analysed the way teaching was carried out in several schools, working alongside teachers, students and principals.
The UK government has developed a voracious appetite for artificial intelligence (AI), based on a promise of its apparently transformative power across myriad industries. From prime minister Boris Johnson's pledge to fund a £250m AI lab for the NHS, to the Department for Education's recently launched'AI horizon scanning group', AI is being lauded as a panacea to some of the most pressing issues society faces. Education is just one of the sectors that is meeting AI with open arms. As Matthew Jones at Perlego argued for this title, the opportunities being presented for AI to close educational accessibility gaps is exciting. In fact, educators, policymakers and investors are all being bombarded with messages related to AI's seemingly endless benefits in the classroom.
NAGOYA – The approval rate for visa applications by nationals of countries such as Myanmar and Bangladesh to study at Japanese-language schools from April is sharply down from the same month last year, school operators in Japan said Wednesday. The plunge in the percentage of visas that were approved appears to reflect efforts to crack down on foreign nationals who enter the nation to work under the guise of being students. A survey by the Japanese Language School Association in Tokyo showed that student visas were granted to just 15 percent of applicants from Myanmar, down sharply from the 76 percent approval rate seen last year, and to 21 percent of Bangladeshi applicants, down from 61 percent. The success rate for Sri Lankan applicants was 21 percent, down from 50 percent. The survey drew responses from 327 of the 708 Japanese-language schools throughout the country and collected figures regarding applications for student resident status from April, when such applications peak with the start of the new academic year.