Industry Articles
Es gibt unzählig viele Arten von Artikeln, z.B. Nachrichtenartikel, dokumentarische Artikel, Portraits, Anleitungen usw. Jede Art zeichnet sich durch bestimmte, einzigartige Eigenschaften aus. Aber alle haben auch bestimmte Gemeinsamkeiten. Vom Suchen zum Recherchieren eines Themas bis hin zum Formulieren und Überarbeiten deiner Idee – das Schreiben eines Artikels gibt dir die Möglichkeit, fesselnde und wichtige Informationen mit deinen Lesern zu teilen.
Angewandte Linguistik - Erwerb, Verarbeitung und Verwendung von Sprache Applied Linguistics - Acquisition, Processing, and Use of Language

Linguistik für die Verarbeitung Linguistics for processing natürlicher Sprache natural language


Sozialisationforschungsgruppe ✓ Linguistik ✓ Förderung ✓ Unterschiedlichen ✓ Folgenden ✓ Bezogen ✓ Vertiefungsbereiche ✓ Anwendungsmöglichkeiten ✓ Dient

Socialization Research Group ✓ Linguistics ✓ Promotion ✓ Different ✓ Following ✓ Related ✓ Specialization Areas ✓ Possible Applications ✓ Serves

Gegenstand des StudiumsDas Master-Programm Angewandte Linguistik (Erwerb, Verarbeitung und Verwendung von Sprache) ermöglicht Ihnen eine vertiefte Beschäftigung mit den wissenschaftlichen Grundlagen der Linguistik und ihren Anwendungsmöglichkeiten. Das Studium vermittelt Methoden und Theorien in unterschiedlichen linguistischen Forschungsbereichen mit anwendungsbezogenen Problemlösungen, durch die Sie reflexive und praktisch orientierte Kompetenzen in unterschiedlichen Wissens- und Handlungsfeldern erwerben.Die Wahl und Zusammenstellung von Modulen erlaubt Ihnen Spezialisierungen in unterschiedlichen Gebieten der Angewandten Linguistik.Der Master-Studiengang und seine Vertiefungsbereiche sind eng bezogen auf die folgenden Aktivitäten, die der Förderung des wissenschaftlichen Nachwuchses dient:universitären Schwerpunkts Bildung – Lehren, Lernen und mediale SozialisationForschungsgruppe Sprachbeherrschung im Erfurter Promotions- und Postdoktoranden-Programm (EPPP)


The master's program in Applied Linguistics (acquisition, processing and use of language) enables you to study the scientific foundations of linguistics and its possible applications in greater depth. The course teaches methods and theories in different linguistic research areas with application-related problem solutions, through which you acquire reflective and practically oriented competencies in different fields of knowledge and action. The choice and combination of modules allows you to specialize in different areas of applied linguistics. The master’s degree and its areas of specialization are closely related to the following activities, which serve to promote young academics: University focus on education - teaching, learning and media socialization; Research group on language proficiency in the Erfurt doctoral and post-doctoral program (EPPP)
$74.5 Billion Automotive Artificial Intelligence Markets: Machine Learning & Deep Learning, Computer Vision, Natural Language Processing - Global Opportunity Analysis and Industry Forecast, 2020-2030 - ResearchAndMarkets.com
December 10, 2020 10:10 AM Eastern Standard Time

DUBLIN--(BUSINESS WIRE)--The "Automotive Artificial Intelligence Market by Component, Technology, and Application: Global Opportunity Analysis and Industry Forecast, 2020-2030" report has been added to ResearchAndMarkets.com's offering.

“Automotive Artificial Intelligence Market by Component, Technology, and Application: Global Opportunity Analysis and Industry Forecast, 2020-2030”

Tweet this

The Global Automotive AI Market was valued at USD 2.49 billion in 2019, and is estimated to garner USD 74.5 billion by 2030, at a CAGR of 36.2% during the forecast period, from 2020 to 2030.

Artificial Intelligence (AI) is one of the most advancing technologies in computer science. Fully autonomous and semi-autonomous vehicles use artificial intelligence to perform complex tasks such as face recognition, threat detection, image processing, vehicle localization, and mapping.

Machine learning technology enables the vehicle in apprehending data, imitate the human mind, language understanding, problem solving and others. Artificial Intelligence and other technologies such as Advance Driver Assistance System (ADAS), Adaptive Cruise Control (ACC), and Electronic Braking Distribution (EBD) make driving experience better and ensure advanced safety for the driver and passengers.

Market Dynamics and Trends

The growth of the automotive artificial intelligence market is attributed to the rise in the demand for autonomous vehicles and the increase in the preference for improved user convenience and experience. However, security and privacy concerns and rise in cybercrime are impeding the market. On the other hand, surge in the demand for premium vehicles is anticipated to create lucrative opportunities in the market.

Market Segmentations and Scope of the Study:

The global automotive AI market has been segmented based on component, technology, application, and geography. On the basis of component, the market is trifurcated into hardware, software, and service. In terms of technology, the market is categorized as machine learning & deep learning, computer vision, and natural language processing. Based application, the market is bifurcated into semi-autonomous and autonomous. On the basis of region, the market is segregated into North America, Europe, Asia-Pacific, and Rest of World (RoW).

Geographical Analysis

Europe represents for a major share of the market due to the high demand for driver-assistance technologies, especially during heavy traffic scenarios and the presence of key players in the automotive industry investing heavily in AI.

The market in Asia Pacific is expected to grow due to the high demand for consumer electronics, improving internet infrastructure, and growth in economy and disposable income. Moreover, rise in government initiatives, increase in the demand for premium vehicles, growing investments in AI technology, and high adoption of AI solutions and services for autonomous and semi-autonomous applications are propelling the growth of the market in this region.

Competitive Landscape

Key players in the global AUTOMOTIVE AI Market include BMW, IBM Corporation, Intel Corporation, Micron Technology, Microsoft Corporation, NVIDIA Corporation, Otto Motors, Tesla Inc., Toyota, and Waymo.

Key Topics Covered:

One of the most challenging and revolutionary things artificial intelligence (AI) can do is speak, write, listen, and understand human language. Natural language processing (NLP) is a form of AI that extracts meaning from human language to make decisions based on the information. This technology is still evolving, but there are already many incredible ways natural language processing is used today. Here we highlight some of the everyday uses of natural language processing and five amazing examples of how natural language processing is transforming businesses. Natural language processing (NLP) is a field of artificial intelligence in which computers analyze, understand, and derive meaning from human language in a smart and useful way. By utilizing NLP, developers can organize and structure knowledge to perform tasks such as automatic summarization, translation, named entity recognition, relationship extraction,