I recently started an AI-focused educational newsletter, that already has over 80,000 subscribers. TheSequence is a no-BS (meaning no hype, no news etc) ML-oriented newsletter that takes 5 minutes to read. The goal is to keep you up to date with machine learning projects, research papers and concepts. Principal component analysis(PCA) is one of the key algorithms that are part of any machine learning curriculum. Initially created in the early 1900s, PCA is a fundamental algorithm to understand data in high-dimensional spaces which are common in deep learning problems.

A generative Adversarial Network (GAN) is a powerful algorithm of Deep Learning. Generative Adversarial Network is used in Image Generation, Video Generation, and Audio Generation. In short, GAN is a Robot Artist, who can create any kind of art perfectly. And in this Generative Adversarial Networks (GANs) Specialization, you will learn how to build basic GANs using PyTorch and advanced DCGANs using convolutional layers. You will use GANs for data augmentation and privacy preservation, survey GANs applications, and examine and build Pix2Pix and CycleGAN for image translation. There are 3 courses in this Specialization program where you will gain hands-on experience in GANs. Now, let's see all the 3 courses of this Specialization Program-

No matter your role on the L&D team or the makeup of your organization, it's important to consistently review and evaluate new technologies, tools, and trends to see if they make sense for your organization. Technology changes rapidly, and if you fail to keep up, you will be left behind. Learning technologies (LT) do not just include new software and emerging tech. It also includes the LT ecosystem--a collection of people, processes and tools that deliver, integrate, and support the L&D function across your organization--and that requires knowledge in assessing, defining, and articulating requirements. Ensuring that the latest advancements benefit both the learner and the organization means understanding of the learners' needs and overall experience.

Bangkok – When the "Demon Slayer" movie hit cinemas in Japan late last year, its box-office success reverberated beyond the archipelago -- all the way to Thailand. According to Major Cineplex, one of the leading chains of cinemas and theaters in Thailand, the film topped the list of 2020's top-grossing foreign movies with revenue of 115 million baht (about ¥400 million) even though it was shown for just two months of the year. For decades, the latest Japanese manga and anime releases have topped Thai youngsters' must-read and must-watch lists. Yet the influence of Japanese culture has not stopped there. These media are acting as steps to the door of language learning, which is allowing Thai people to gain a better understanding of another culture.

Since the 1970s, digital technologies have changed teaching, learning and assessment. From the advent of the personal computer in the late 70s and early 80s, the explosion of the internet in the 90s, to the period of ubiquitous computing through the smartphone and all that came after, we have seen a fundamental change in the way we engage with teaching, learning and assessment through the digital medium. When computers first appeared in our classrooms, they gradually superseded older legacy technologies. Over time, the first iteration of computers and associated software was likewise replaced by newer networked devices and software applications. The hardware refresh cycle continues at pace today, and software developments appear to be accelerating further still. Despite these developments, it is only the medium of teaching and learning that has changed.

Competency Questions (CQs) are used in many ontology engineering methodologies to collect requirements and track the completeness and correctness of an ontology being constructed. Although they are frequently suggested by ontology engineering methodologies, the publicly available datasets of CQs and their formalizations in ontology query languages are very scarce. Since first efforts to automate processes utilizing CQs are being made, it is of high importance to provide large and diverse datasets to fuel these solutions. In this paper, we present BigCQ, the biggest dataset of CQ templates with their formalizations into SPARQL-OWL query templates. BigCQ is created automatically from a dataset of frequently used axiom shapes. These pairs of CQ templates and query templates can be then materialized as actual CQs and SPARQL-OWL queries if filled with resource labels and IRIs from a given ontology. We describe the dataset in detail, provide a description of the process leading to the creation of the dataset and analyze how well the dataset covers real-world examples. We also publish the dataset as well as scripts transforming axiom shapes into pairs of CQ patterns and SPARQL-OWL templates, to make engineers able to adapt the process to their particular needs.

Workplace learning and development (L&D) departments have increasingly relied upon EdTech to deliver valuable professional development to employees throughout the pandemic. Naturally, this has prompted a number of educators to confront a question that has long been looming: will these new technologies eventually displace their roles? For a variety of reasons, the answer to this question is "no", chief amongst which is the fact that humans have essential skills and qualities that are all too challenging to replicate in their robotic counterparts. From empathy and compassion, to creativity and improvisation, these virtues make skilled HR professionals and training vendors much sought-after in the workplace. That is not to say that job functions will not change as domains like artificial intelligence (AI) and robotics continue to develop.

Apple has long taken accessibility seriously. Just spend five minutes in the relevant section of your iPhone's settings and you'll find a veritable trove of helpful settings -- many of them useful to everyone. Today, the company is ready to announce a host of new tools across its ecosystem of products. Perhaps the most impactful is SignTime. Initially, SignTime will be available for the most obvious ways of contacting the company: customer service.

Experience with different product delivery methodologies (agile, waterfall, etc.) and the ability to apply the right approach to the right situation

I'll admit that I was more than a little skeptical when the Knight Foundation announced last week that it would award $3 million in grants to help local news organizations use artificial intelligence. My first reaction was that dousing the cash with gasoline and tossing a match would be just as effective. But then I started thinking about how AI has enhanced my own work as a journalist. For instance, just a few years ago I had two unappetizing choices after I recorded an interview: transcribing it myself or sending it out to an actual human being to do the work at considerable expense. Now I use an automated system, based on AI, that does a decent job at a fraction of the cost. Or consider Google, whose search engine makes use of AI.