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Global Educational Robot Market Report 2022: Widespread Adoption of E-Learning Techniques, Including Teaching Robots, Digital Whiteboards and Flip Classrooms Creating Avenues for Further Growth

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Dublin, Aug. 11, 2022 (GLOBE NEWSWIRE) — The “Educational Robot Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2022-2027” report has been added to ResearchAndMarkets.com’s offering.

The global educational robot market reached a value of US$ 1.2 Billion in 2021. Looking forward, the publisher expects the market to reach US$ 3.0 Billion by 2027, exhibiting a CAGR of 16.5% during 2021-2027. Keeping in mind the uncertainties of COVID-19, we are continuously tracking and evaluating the direct as well as the indirect influence of the pandemic on different end use sectors. These insights are included in the report as a major market contributor.

An educational robot is a learning support tool that uses realistic educational simulations to facilitate skill acquisition in students of all age groups. It delivers content based on science, technology, engineering, art, and mathematics or applied mathematics (STEAM) fields, along with computer programming, linguistics, history and geography. These robots can perform various functions, including gestures, voice control and advanced mechanics to keep children engaged, entertained and educated. Working with them has proven to result in improved creative problem solving, communication and interpersonal skills among students. Owing to this, these robots find extensive application across academic establishments, such as special-education institutes, schools and colleges offering higher education.

The emerging trend of digitization, along with the increasing utilization of artificial intelligence and machine learning (AI/ML) technologies in the education sector, are some of the key factors driving the growth of the market. Owing to their effective interactive capabilities, educational robots are rapidly being adopted in K-5 and K-12 schools and other educational institutes.

Furthermore, widespread adoption of e-learning techniques, including teaching robots, digital whiteboards and flip classrooms, to offer an advantageous way of knowledge dissemination, has provided a boost to the market growth. Additionally, technological innovations, such as the development of advanced variants equipped with autonomous navigation and environmental sensors to detect obstacles in the vicinity, have made these robots more user-friendly and enhanced their overall operational ability. Other factors, including increasing investments in the education sector by both government and non-government organizations (NGOs), extensive research and development (R&D) activities in the field of robotics and the availability of affordable educational robots, are projected to drive the market further.

Key Market Segmentation:The publisher provides an analysis of the key trends in each sub-segment of the global educational robot market, along with forecasts at the global, regional and country level from 2022-2027. Our report has categorized the market based on component, product type and end-user.

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Breakup by Component:

  • Hardware
  • Sensors
  • Actuator
  • Power Source
  • Control System
  • Others
  • Software

Breakup by Product Type:

  • Humanoid
  • Non-Humanoid

Breakup by End-User:

  • K-12
  • Universities
  • Others

Breakup Region:North America

  • United States
  • Canada
  • Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Indonesia
  • Others

Europe

  • Germany
  • France
  • United Kingdom
  • Italy
  • Spain
  • Russia
  • Others

Latin America

  • Brazil
  • Mexico
  • Others
  • Middle East and Africa

Key Topics Covered:

1 Preface

2 Scope and Methodology

3 Executive Summary

4 Introduction

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5 Global Educational Robot Market

6 Market Breakup by Component

7 Market Breakup by Product Type

8 Market Breakup by End-User

9 Market Breakup by Region

10 SWOT Analysis

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11 Value Chain Analysis

12 Porters Five Forces Analysis

13 Price Indicators

14 Competitive Landscape

Companies Mentioned

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  • Adele Robots
  • Aisoy Robotics
  • Arrick Robotics
  • Blue Frog Robotics
  • DST Robot Co.
  • Hanson Robotics
  • Idmind
  • Macco Robotics
  • Pal Robotics
  • Primo Toys
  • Probotics America
  • Qihan Technology Co.
  • Robobuilder
  • Robotis
  • Softbank Robo

For more information about this report visit https://www.researchandmarkets.com/r/p18d3y

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Artificial Intelligence

Sinch Honored with Frost & Sullivan’s Enlightened Growth Leadership Award

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Recognized for Commitment to Making the World a Better Place Through Innovative Growth, Customer Value, and Sustainable Business Practices
STOCKHOLM, Oct. 7, 2024 /PRNewswire/ — Sinch (Sinch AB (publ) – (XSTO: SINCH), which is pioneering the way the world communicates through its Customer Communications Cloud, is pleased to announce that it has been awarded the Enlightened Growth Leadership Best Practices Recognition by the Frost & Sullivan Institute. This prestigious award celebrates Sinch as a Company of Action, for demonstrating best practices in its growth journey, while aligning with Frost and Sullivan’s “innovation to zero” initiative, which focuses on addressing global challenges through sustainable and responsible business practices.

In addition to its sustainability efforts, Sinch was recognized for its technology leadership, leveraging innovations like its cloud-based infrastructure for scalability and cost efficiency, and its API-first approach for rapid integration and customization. AI capabilities are embedded across Sinch’s entire portfolio, enhancing customer experience and operational efficiency, further solidifying its position as a leader in communication technology. The award acknowledges companies that drive significant economic impact and drive transformation, with Sinch advancing toward a future where environmental responsibility and business success are seamlessly aligned.
Sinch was specifically recognized for its dedication to the Science Based Targets initiative aimed at meeting the Paris Agreement’s 1.5°C goal. The company proactively assesses the environmental impact of its products and emphasizes responsible business practices that minimize waste and pollution.
“We are honored to be recognized for our commitment to sustainable growth, innovation, and our dedication to our employees, partners and customers,” shared Jonathan Bean, Chief Marketing Officer at Sinch. “This award reflects our focus on enhancing the customer experience by fostering a culture of responsibility, excellence, and forward-thinking. It also serves as a reminder of our ongoing commitment to reducing our environmental impact, fostering inclusive workplaces, and upholding the highest standards of ethical business practices with our customers and partners,” added Bean.
Sinch believes in the power of communication as a force for good and recognizes its responsibility to lead by example, especially as it powers billions of engagements each year. The company’s Environmental, Social, and Governance (ESG) initiatives are closely aligned with its core values, ensuring that its innovations and strategies not only connect people but also contribute to a sustainable and equitable future.
For further information, please contact:  Janet Lennon, Director of Global Communications [email protected]
This information was brought to you by Cision http://news.cision.com
 

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Artificial Intelligence

LG Innotek Becomes Industry’s First to Use AI to Prevent Input of Defective Raw Materials in Production

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Achieved early detection of cause of defects in raw materials through AI, becoming “first to overcome this challenge in the industry”Applied to high-value semiconductor substrates, analyzing raw material defects in only one minuteReduces defect analysis time by up to 90%SEOUL, South Korea, Oct. 7, 2024 /PRNewswire/ — Today, LG Innotek (CEO Moon Hyuksoo) announced the development and application of the industry’s first “Artificial Intelligence (AI)-based inspection system for incoming raw materials”, designed to detect defects at the point of receipt and prevent the use of substandard raw materials in the process.

LG Innotek applied its AI-based inspection technology, developed by combining material information and AI image processing technologies, to the RF-SiP (Radio Frequency System-in-Package) process. Recently, the technology was also introduced for the FC-BGA (Flip Chip Ball Grid Array), and is expected to further enhance the competitiveness and quality of LG Innotek’s high-value semiconductor substrate products.
Previously, incoming raw materials underwent only a visual inspection before entering the production process. However, the continued advancement of semiconductor substrate technology changed this. Even after improving all in-process defect causes, failures in reliability evaluations continued to rise. This led the quality of incoming materials to gain attention as a decisive factor affecting reliability evaluations. 
The core raw materials (i.e. Prepreg (PPG), Ajinomoto Build-up Film (ABF), and Copper-Clad Laminate (CCL)) that comprise semiconductor substrates arrive as a mixture of glass fibers, inorganic compounds, and other components. In the past, air voids (gaps between particles) or foreign particles generated during the material mixing process did not significantly impact product performance. However, as substrate specifications, such as circuit spacing, have become increasingly stringent, the presence of air voids and foreign particles, depending on their size, has started to cause defects.
As a result, it is virtually impossible to identify which part of the raw material is responsible for the defect using traditional visual inspection methods, which has become a significant challenge for the industry.
If we were to compare one lot of raw materials mixture (unit of raw materials with the same characteristics that goes into the production process) to a batch of cookie dough, it is impossible for the eye to perceive the concentration of salt or sugar in a certain portion, the number of air holes in the dough, or the number of foreign particles.
LG Innotek has found a way to overcome this industry challenge with AI. Its “AI-based Inspection System for Incoming Raw Materials” has been trained with tens of thousands of pieces of data on the composition of materials that are either suitable or unsuitable for a product. Based on this, it analyzes the components and defective areas of semiconductor substrate raw materials in only one minute, with an accuracy rate of over 90%, and visualizes quality deviations in each lot of raw materials.
By using AI machine learning to visualize, quantify, and standardize material configurations optimized for quality, LG Innotek has been able to prevent defective raw materials from entering the production process. The company can change the material design based on the quality deviation information visualized by the AI system, allowing it to ensure that the quality of the raw materials lot is uniform at a suitable level before entering the process.
An LG Innotek official commented, “With the “AI-based Inspection System for Incoming Raw Materials”, the time required to analyze defects has been decreased by up to 90%, and the cost of resolving the causes of defects has been significantly reduced.”
LG Innotek plans to enhance the AI system’s detection capabilities by sharing raw materials-related data with customers and suppliers in the substrate sector through digital partnerships.
Additionally, the company aims to expand the system’s application to optical solutions, such as camera modules, where the image-based detection of material defects can play a crucial role.
LG Innotek CTO S.David Roh said, “With the “AI-based inspection system”, we will complete LG Innotek’s unique AI ecosystem, which delivers exceptional customer value by identifying causes of product defects early in the production process.” He added, “We will continue innovating in digital production technology to create top-quality products at the lowest cost and in the shortest time.”
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CogX Unveils Innovative Knowledge Networking Platform, Proxxi AI, at the CogX Leadership Summit

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New platform uses pioneering “Expert-in-the-Loop” model that matches questions from users with the best specialists to answer them – all assisted by state-of-the-art AI
LONDON, Oct. 7, 2024 /PRNewswire/ — CogX Group Ltd, the tech community and online platforms group, which brings together the sector’s leaders and innovators from across the world, will showcase today its new knowledge networking platform, Proxxi AI, an “expert-in-the-loop” model that connects users and specialists to provide bespoke answers to their questions, assisted by state-of-the art AI.

Proxxi AI will be unveiled later at CogX’s London Leadership Summit at the historic Royal Albert Hall. Proxxi AI understands user questions, identifies the best available experts, assists them with answers based on their own trained “proxxi”, and features a broad range of subjects to deliver the best of AI, but with human oversight.
The live stream of the Summit will be available on YouTube from 10 am here.
Proxxi AI aims to play a leading role within a global knowledge management marketplace projected to grow beyond $1 trillion by 2026 (MarketsandMarkets), with organisations seeking faster, reliable, and lower-cost ways to access expertise and stay ahead of the curve.
Employing the latest large language models (LLMs), Proxxi AI will continuously learn and improve each expert’s proxxi and ranking. The platform will initially be accessed via Slack, Teams, and the CogX Insights app. Shortly after it will be available via API for web and mobile app developers. It supports a broad range of use cases for startups and enterprises, governments, universities and research institutions.
CogX will be demonstrating Proxxi AI at today’s Leadership Summit throughout the day.
Also announced today is the organisation of CogX’s businesses — CogX Ltd (UK Events and the CogX Insights app) and Proxxi AI (Knowledge Network)— under CogX Group Ltd  enabling the community to connect both in-person at our events, and through its two online platforms.
Charlie Muirhead, Founder and CEO of CogX, said:
“CogX’s mission is to convene our community to address the question: How do we get the next 10 years right?  To do so, we need to connect the right people to the right expertise, just when they need it.
So we’re hugely excited to be sharing Proxxi AI today at the Leadership Summit, which will instantly connect people to subject specialists through Slack and Teams our own CogX Insights app, and shortly after via our API for web and mobile app developers.
By blending AI-driven insights with trusted expert oversight, we will empower organisations, large and small, to better navigate the rapid technological changes taking place and enhance their overall performance.”
Notes to editors
About CogX
Co-founded by Charlie Muirhead in 2017, CogX is a tech community and online platforms business that convenes inspirational events featuring leading voices from a huge range of sectors. The community brings together entrepreneurs, business leaders, academics, investors and policy makers both in-person, and online.
More about CogX Leadership Summit London
Taking place at the Royal Albert Hall – the historic venue that hosted the 1851 Great Exhibition, a showcase of the 1st Industrial Revolution – the CogX Summit will focus on the 4th Industrial Revolution, an era of technological convergence that will change the way we live and work.
The Summit is being held on Monday 7th October 2024, and will bring together over 100 world-class speakers, and host over 20 editorially curated salons and mixers to answer the central question: “How do we seize the AI opportunity?
Leaders from Google, OpenAI, Microsoft, NVIDIA, Meta, Hugging Face, Northern Data, Stanford University, and companies at the forefront of generative AI will join over 2,500 delegates to discuss how to apply AI safely and responsibly today and improve productivity and drive business growth.
The live stream of the Summit is available on YouTube from 10am here. (https://shorturl.at/lj3HP).
 
 

View original content:https://www.prnewswire.co.uk/news-releases/cogx-unveils-innovative-knowledge-networking-platform-proxxi-ai-at-the-cogx-leadership-summit-302268326.html

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