Currently, CLASSUM is interested in exploring changes in the Edtech industry. CLASSUM carefully analyzed and selected five trending keywords. The first keyword is Artificial Intelligence, also known as AI. Finding someone who has never heard of AI will be challenging today. AI has been utilized in the education industry over the last few years.

End-to-end sign language generation models do not accurately represent the prosody in sign language. A lack of temporal and spatial variations leads to poor-quality generated presentations that confuse human interpreters. In this paper, we aim to improve the prosody in generated sign languages by modeling intensification in a data-driven manner. We present different strategies grounded in linguistics of sign language that inform how intensity modifiers can be represented in gloss annotations. To employ our strategies, we first annotate a subset of the benchmark PHOENIX-14T, a German Sign Language dataset, with different levels of intensification. We then use a supervised intensity tagger to extend the annotated dataset and obtain labels for the remaining portion of it. This enhanced dataset is then used to train state-of-the-art transformer models for sign language generation. We find that our efforts in intensification modeling yield better results when evaluated with automatic metrics. Human evaluation also indicates a higher preference of the videos generated using our model.

When we hear about AI in the contact center, it's usually about chatbots and augmented agent. But in this conversation, we hear at how contact center AI can help with sales and marketing. Invoca is doing some fascinating stuff with its conversational intelligence engine. The company's technology has analyzed over 1.5B conversational minutes. Its customers analyze their call center interactions to optimize marketing, improve digital conversion rates, automate contact center QA, and enable agent coaching. Invoca just announced it saw 70% revenue growth during the past 12 months. Invoca's customer base now includes over 2,300 of the leading B2C brands across a number of industries. The common theme, according to Gregg, is they tend to have complex interactions. The small company seems to be doing a few things right. It was named a Leader in The Forrester Wave: Conversation Intelligence: Sales And Marketing, Q4 2021 report. Just this week it was selected for the Innovation Showcase at Enterprise Connect. Invoca was also recognized in the Inc. Best Workplaces of 2019 list and achieved the difficult Great Place to Work certification. Dave Michels 0:12 Welcome to talking here today, Evan and I will be talking with Brent Johnson of invoca. But before that Evon must be the pandemic is over, because it's time for Enterprise Connect. I know I'm gonna be there. Evan Kirstel 0:24 You know, after a two year hiatus, I will be there in person at Enterprise Connect in Orlando, and at the Innovation Showcase which you are spearheading I really actually looking forward to it to seeing, well, you not so much, but a lot of other people that I haven't seen in person for a while. You mentioned the Innovation Showcase, because that is without doubt the most valuable session.

"Transformation for robotic automation is picking up speed across traditional and new industries," says Milton Guerry, President of the International Federation of Robotics. "More and more companies are realizing the numerous advantages robotics provides for their businesses." Segments that are relatively new to automation are rapidly adopting robots. Consumer behavior is driving companies to address demand for personalization of both products and delivery. The e-commerce revolution was driven by the pandemic and will continue to accelerate in 2022.

Films and TV programmes have long portrayed caveman as using grunts to communicate with one another. But a new study suggests that our ancient ancestors likely did not use sounds to communicate, and instead opted for hand gestures. Researchers from the University of Western Australia asked volunteers to attempt to describe words using only grunts or gestures. They found that gestures were far more effective in communicating meaning and were often similar between cultures. 'The universality of gesture means it is ideally suited to bootstrapping human communication among modern humans and therefore supports the hypothesis that gesture is the primary modality for language creation,' the researchers said in their study, published in Proceedings of the Royal Society B. Films and TV programmes have long portrayed caveman as using grunts to communicate with one another. Searching for a way to make your point?

Coursera is an E-Learning platform and provides thousands of online courses on various subjects. And Coursera has a wide range of Artificial Intelligence courses too. That's why I thought to share the Best Coursera Courses for Artificial Intelligence with you. So, give your few minutes to this article and find out the 8 Best Coursera Courses for Artificial Intelligence. Now, without any further ado, let's get started- As the name sounds, "AI for Everyone", so yes, this course is for everyone who wants to learn Artificial Intelligence.

The registration is open until 15th April 2022 to all students enrolled in classes 11 and 12 at recognized schools in Himachal Pradesh. An entrance-based exam will be conducted to select students in the camp. Mandi, 14th March 2022: TheIndian Institute of Technology Mandi is organizing the summer camp on Robotics and Artificial Intelligence (AI) in collaboration with …

Conversational teachable agents offer a promising platform to support learning, both in the classroom and in remote settings. In this context, the agent takes the role of the novice, while the student takes on the role of teacher. This framing is significant for its ability to elicit the Prot\'eg\'e effect in the student-teacher, a pedagogical phenomenon known to increase engagement in the teaching task, and also improve cognitive outcomes. In prior work, teachable agents often take a passive role in the learning interaction, and there are few studies in which the agent and student engage in natural language dialogue during the teaching task. This work investigates the effect of teaching modality when interacting with a virtual agent, via the web-based teaching platform, the Curiosity Notebook. A method of teaching the agent by selecting sentences from source material is compared to a method paraphrasing the source material and typing text input to teach. A user study has been conducted to measure the effect teaching modality on the learning outcomes and engagement of the participants. The results indicate that teaching via paraphrasing and text input has a positive effect on learning outcomes for the material covered, and also on aspects of affective engagement. Furthermore, increased paraphrasing effort, as measured by the similarity between the source material and the material the teacher conveyed to the robot, improves learning outcomes for participants.

Recent development of advanced sensing and high computing technologies has enabled the wide adoption of machine vision to automatically inspect products' dimensional quality for efficient process control and reducing the manual inspection cost. The process control procedure requires effective data analysis methods to provide reliable inspection results. In this paper, we consider a high-volume manufacturing system that uses machine vision at the quality inspection station for automatic classification of product defects. Here classification implies both; identifying a defect and classifying its corresponding type. As a motivating example, we consider the scenario where batches of three-dimensional (3D) point cloud data are independently collected from a manufacturing process. The 3D point cloud data is obtained by measuring the 3D location of points on the product surface using a 3D scanner. The location measurements can then be used for fast classification of surface defects, and thus provide timely feedback for process control. Figure 1 (right) shows some exemplar surface defects on a wood product and the corresponding 3D point cloud measurements. The 3D point cloud measurements have a set of defining characteristics that should be considered in the development of defect classification techniques.

The ability to recognize analogies is fundamental to human cognition. Existing benchmarks to test word analogy do not reveal the underneath process of analogical reasoning of neural models. Holding the belief that models capable of reasoning should be right for the right reasons, we propose a first-of-its-kind Explainable Knowledge-intensive Analogical Reasoning benchmark (E-KAR). Our benchmark consists of 1,655 (in Chinese) and 1,251 (in English) problems sourced from the Civil Service Exams, which require intensive background knowledge to solve. More importantly, we design a free-text explanation scheme to explain whether an analogy should be drawn, and manually annotate them for each and every question and candidate answer. Empirical results suggest that this benchmark is very challenging for some state-of-the-art models for both explanation generation and analogical question answering tasks, which invites further research in this area.