Connect with us
MARE BALTICUM Gaming & TECH Summit 2024

Artificial Intelligence

Global Data Annotation Tools Market By Type, By Annotation Type, By Industry, By Regional Outlook, Industry Analysis Report and Forecast, 2021 – 2027

Published

on

New York, Aug. 31, 2021 (GLOBE NEWSWIRE) — Reportlinker.com announces the release of the report “Global Data Annotation Tools Market By Type, By Annotation Type, By Industry, By Regional Outlook, Industry Analysis Report and Forecast, 2021 – 2027” – https://www.reportlinker.com/p06131311/?utm_source=GNW
There are a few companies that adopt a do-it-yourself approach and develop their own equipment; however, several data annotation tools are accessible through open source or freeware that are adopted by many organizations. These solutions are provided commercially for purchase and lease. Data annotation tools are mainly developed for their usage in some specific kinds of data, like video, image, audio, spreadsheet, text, or sensor data. In addition, these tools also provide various deployment models that include on premise, SaaS (cloud), container, and Kubernetes.

In the machine learning domain, the process of labelling data to demonstrate the result a company want its machine learning model to forecast is termed as data annotation. Under this process, a dataset is labeled, marked, transcribed, tagged, or processed with the required features by its machine learning system to learn to identify. After the implementation of the model, the system identifies those features itself and responds to them. Annotated data uncovers features, which would train a company’s algorithms to recognize those same features in the dataset that has not been annotated. Data annotation is majorly utilized in supervised learning & hybrid, machine learning models, or semi-supervised, which include supervised learning.

COVID-19 Impact

The outbreak of the global covid-19 pandemic has affected every domain of society be it individuals or businesses. The several impositions rolled out by the governments across the globe to curb the spread of the coronavirus have disturbed the global supply of goods & services. The nationwide lockdown and temporary shutdown of the manufacturing units in the pandemic have resulted in the decreased labor on the supply side and a reduction in the demand for products & services on the other side.

All such restrictions have negatively affected the data annotation tools market. In addition, owing to the declining GDP, the market would witness a negative impact on the growth of the data annotation tools market. Though, it is estimated that the economy will get back on track and hence the data annotation tools market will also register a significant demand.

Type Outlook

Based on Type, the market is segmented into Text, Image/Video and Audio. The text segment acquired the highest revenue share in the data annotation market in 2020. The image/video annotation segment is projected to witness a significant growth rate during the forecast period. Some of the key applications of image data annotation are in the medical sector in the domain of medical imaging. The text segment is anticipated to exhibit a substantial CAGR during the forecast period due to the increasing applications of data annotation tools in clinical research and e-commerce applications. The audio segment is projected to garner the fastest growth rate during the forecast period.

Annotation Type Outlook

Based on Annotation Type, the market is segmented into Manual, Semi-supervised and Automatic. The manual segment procured the largest revenue share in the data annotation market in 2020. Manual data annotation refers to the process of annotating or labeling any generated dataset by humans. This approach is gaining traction owing to its advantages like high level of integrity, precision, minimal data annotation efforts, and more chance of generating intriguing insights related to the data in comparison to automatic annotation that could be combined into an algorithm in the future. Though, manual annotation is costly and time-consuming, thus labeled data collected via crowd sourcing activities are utilized for several applications.

Industry Outlook

Based on Industry, the market is segmented into IT, Automotive, Retail, Healthcare, Financial Services, Government and Others. The automotive market segment is estimated to witness the fastest growth rate during the forecast period. It is due to the wide acceptance of data annotation tools in self-driving vehicles. The increasing investment in R&D activities in order to improve the image annotation for boosting the developments in the area of self-driving vehicles would surge the growth of the market.

Regional Outlook

Based on Regions, the market is segmented into North America, Europe, Asia Pacific, and Latin America, Middle East & Africa. North America emerged as a dominant region with the largest revenue share in the data annotation tools market in 2020. This growth is attributed to the quick product & geographical expansion strategy adopted by the key market players to achieve a competitive edge in the market.

The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Google, Inc., Amazon.com, Inc., Uber Technologies, Inc. (Mighty AI, Inc.), Appen Limited, Scale AI, Inc., Labelbox, Inc., Annotate Software, Cogito Tech LLC, Deep Systems, and Playment, Inc.

Strategies deployed in Data Annotation Tools Market

May-2021: Labelbox teamed up with Databricks, an enterprise software company. Together, the companies announced the features for teams to develop unstructured data for AI and analytics in Databricks. By integrating Databricks and Labelbox, users get an end-to-end surrounding for unstructured data workflows, a query engine developed around Delta Lake, quick annotation tools, and a strong Machine Learning compute environment.

Feb-2021: Appen Limited introduced the new & improved capabilities. These capabilities aimed to make sure that autonomous vehicle manufacturers get access to high-quality training data and can attain the most value from their training data investment.

Feb-2021: Google Cloud formed a partnership with NextBillion AI, an industry-leading startup in mapping platforms. The partnership aims to enhance time-to-market for hyperlocal AI solutions by operating datasets & algorithms on Cloud Storage & Cloud SQL to reduce the operational overheads with Google Kubernetes Engine.

Dec-2020: Labelbox came into partnership with TensorFlow, a free and open-source software library for machine learning. Under this collaboration, the TensorFlow team would enable more teams to boost their ML projects. It consists of regularly sharing insights & product feedback and also working together to carry out improvements and advancements, which especially fulfil enterprise ML requirements.

Aug-2020: Appen came into partnership with the World Economic Forum. Under this partnership, Appen would collaborate with key leaders to introduce the new standards in shaping the Future of Technology Governance Artificial Intelligence and Machine Learning platform that enables global footprint and guidepost for better training data collection and development over nations and industries.

May-2020: Labelbox entered into a partnership with Carahsoft Technology. In this partnership, Carahsoft would serve as Labelbox’s Master Government Aggregator that makes the company’s platform accessible via Carahsoft’s NASA Solutions for Enterprise-Wide Procurement (SEWP) contracts & reseller partners.

Dec-2019: Appen Limited unveiled the Appen Secure Workspace Solution. This solution offers the correct combination of technology, people, and procedure to make sure that projects including sensitive data can be annotated by a global crowd safely.

Sep-2019: Amazon launched the Topical Chat Dataset, a text-based collection of more than 235,000 utterances. This launch enables innovative research in knowledge-grounded neural response-generation systems by facing the hard challenges, which are not supported by other publicly accessible datasets.

Apr-2019: Appen Limited acquired Figure Eight, a human-in-the-loop machine learning and artificial intelligence company. This acquisition aimed to combine Appen’s skilled & diverse global workforce of more than 1 million global contractors with Figure Eight’s industry-leading data annotation platform making strong training data capabilities developed to improve AI initiatives for a broad range of use cases.

Dec-2018: Scale AI formed a partnership with Ouster, a leading manufacturer of high-resolution lidar sensors, along with Playment. This partnership focused on swiftly boosting the incorporation of deep learning models in self-driving vehicles & other real-time robotics by resolving their biggest challenge accurate and multi-layer labelled training data.

Jul-2018: Google joined hands with Figure Eight, a platform that helps developers train, test and fine-tunes their machine learning models. This collaboration importantly turns Figure Eight into the de facto standard for making & annotating machine learning data for Google Cloud’s AutoML service.

Nov-2017: Appen Limited entered into an agreement to acquire Leapforce, a leading provider of search relevance services with a highly automated and proprietary end-to-end technology platform. The combination of Leapforce’s highly automated technology platform and Appen’s 20+ year track record of providing high-quality, human-annotated data and the integrated crowd of almost 1.2 million workforces would enable scalability, automation, and efficiency enhancements to offer better quality, responsiveness and value to clients across the globe.

Scope of the Study

Market Segments covered in the Report:

By Type

• Text

• Image/Video

• Audio

By Annotation Type

• Manual

• Semi-supervised

• Automatic

By Industry

• IT

• Automotive

• Retail

• Healthcare

• Financial Services

• Government

• Others

By Geography

• North America

o US

o Canada

o Mexico

o Rest of North America

• Europe

o Germany

o UK

o France

o Russia

o Spain

o Italy

o Rest of Europe

• Asia Pacific

o China

o Japan

o India

o South Korea

o Singapore

o Malaysia

o Rest of Asia Pacific

• LAMEA

o Brazil

o Argentina

o UAE

o Saudi Arabia

o South Africa

o Nigeria

o Rest of LAMEA

Companies Profiled

• Google, Inc.

• Amazon.com, Inc.

• Uber Technologies, Inc. (Mighty AI, Inc.)

• Appen Limited

• Scale AI, Inc.

• Labelbox, Inc.

• Annotate Software

• Cogito Tech LLC

• Deep Systems

• Playment, Inc.

Unique Offerings

• Exhaustive coverage

• Highest number of market tables and figures

• Subscription based model available

• Guaranteed best price

• Assured post sales research support with 10% customization free
Read the full report: https://www.reportlinker.com/p06131311/?utm_source=GNW

About Reportlinker
ReportLinker is an award-winning market research solution. Reportlinker finds and organizes the latest industry data so you get all the market research you need – instantly, in one place.

__________________________


GlobeNewswire is one of the world's largest newswire distribution networks, specializing in the delivery of corporate press releases financial disclosures and multimedia content to the media, investment community, individual investors and the general public.

Artificial Intelligence

QSAN Unveils Latest Solutions for AI Era at COMPUTEX 2024

Published

on

qsan-unveils-latest-solutions-for-ai-era-at-computex-2024

Introducing Next-Gen NVMe Array and All-New Container Platform
TAIPEI, April 24, 2024 /PRNewswire/ — AI is sweeping the globe, transforming industries and spurring enterprises to adopt AI in business. As companies gear up to seize this incredible opportunity of rapid business growth, upgrading their IT infrastructure is the first step. At COMPUTEX 2024, QSAN will unveil state-of-the-art solutions to assist enterprises in the AI era.

Unparalleled Performance All NVMe Flash ArrayThe next-generation XCubeFAS 5226 is now delivering extremely fast performance. It features low latency, high throughput, and robust IOPs to accelerate demanding workloads for the upcoming AI era.
Innovative Container PlatformThe KubeSwift series is an innovative appliance that empowers SMBs with CaaS (Container as a Service) capabilities. This all-in-one solution streamlines containerized application deployment, management, and scaling, providing a robust foundation for modern IT infrastructures.
High Scalability Enterprise Unified StorageAs artificial intelligence continues to advance, the value of data will grow exponentially, driving the need for expanded storage capacity. XCubeNXT is an enterprise unified storage system with PB-level scalability, high availability, and multi-functional connectivity. It aims to prepare for storing massive amounts of material generated by AI.
Register for QSAN Tech Talk
QSAN will host tech talks to provide insights into storage technology and the future. Professionals will have in-depth discussions on topics such as AI applications, storage technology trends, market analysis, and prediction. Register for tech talk for more forecasts.
Make an Appointment with a QSAN Expert Consultant
Tailor-made storage consulting will also be available at COMPUTEX 2024. For the best chance of accelerating your business, make an appointment with a QSAN expert.
QSAN at 2024 COMPUTEX Information
Event Date: June 4 ~ 7, 2024Event Time: (GMT+8) 9:30 AM ~ 05:30 PMBooth No.: M1435a (AI Computing & System Integration)Location: 4F, Taipei Nangang Exhibition Center, Hall 1 (TaiNEX 1)Address: No.1, Jingmao 2nd Rd., Nangang District, Taipei City 115, Taiwan
QSAN Showroom for Tech Talk and Expert Consultant
Event Date: June 4 ~ 7, 2024Event Time: (GMT+8) 10:00 AM ~ 05:30 PMLocation: QSAN ShowRoomAddress: No. 2, Ln. 1, Fukang St., Nangang District, Taipei City 115, Taiwan
For more information, please visit: www.QSAN.com
Media Contacts Email: [email protected] Address: 4F., No.103, RuiHu Street, NeiHu District, Taipei, Taiwan11494 Phone: +886-2-7720-2118

View original content:https://www.prnewswire.co.uk/news-releases/qsan-unveils-latest-solutions-for-ai-era-at-computex-2024-302126012.html

Continue Reading

Artificial Intelligence

Kanazawa University research: Biochemical tails tell a story

Published

on

kanazawa-university-research:-biochemical-tails-tell-a-story

KANAZAWA, Japan, April 24, 2024 /PRNewswire/ — Researchers at Nano Life Science Institute (WPI-NanoLSI), Kanazawa University report in Nano Letters how the use of high-speed atomic force microscopy helps to understand the crucial role played by certain biomolecules in DNA wrapping dynamics.

In plants and animals, the basic packaging units of DNA, which carry genetic information, are the so-called nucleosomes. A nucleosome consists of a segment of DNA wound around eight proteins known as histones. During gene expression (the process lying at the basis of protein production), nucleosomes are involved in various dynamical structural changes, such as nucleosome sliding, DNA unwrapping and other DNA–histone interactions. Of particular importance in these processes are the end structures, or tails, of the histones. Histone tails undergo chemical modifications, changing the histone’s functionality as needed. Detailed studies, and especially visualizations, of nucleosome dynamics are crucial for better understanding the role of histone tails. Mikihiro Shibata from Kanazawa University and colleagues have now succeeded in making video recordings of tail-less nucleosomes, showing that the absence of histone tails significantly increases a nucleosome’s dynamic activity.
The scientists used high-speed atomic force microscopy (HS-AFM), a powerful nanoimaging tool for visualizing molecular structures and their dynamics at high spatial and temporal resolution. For this, the nucleosomes needed to be put onto a substrate. Shibata and colleagues used a film of so-called pillar[5]arenes (molecules with a pentagonal tubular structure) as the substrate, forming an ideal surface as the nucleosomes are easily adsorbed to it without dynamical processes getting suppressed.
The researchers first looked at nucleosomes for which all eight histones lacked tails. Based on their HS-AFM observations, they concluded that nucleosome sliding and DNA unwrapping/rewrapping occurred more often than for normal (canonical) nucleosomes. This suggests that without tails, the histone–DNA interaction is weakened, leading to a situation in which DNA can more easily detach from the histones.
To better understand the roles of specific histone tails, Shibata and colleagues prepared nucleosomes where one type of histone was tailless. There are four different types of histones, called H2A, H2B, H3 and H4. HS-AFM experiments on the nucleosomes revealed that H2B and H3 tail-less nucleosomes showed an increased frequency of dynamics. Conversely, this means that canonical H2B and H3 histones are essential for nucleosome stability.
The scientists point out that they could not observe any actual motion of histone tails — most likely the temporal resolution of the study, 0.3 seconds, was much slower than the rate of the wrapping/unwrapping dynamics of the tails. Despite this limitation, the work of Shibata and colleagues clearly proves that the tails of H2B and H3 histones are the main contributors to nucleosome dynamics. Regarding future work, quoting the researchers, “a technique for tagging histone tail tips might enable HS-AFM to capture the movements of the histone tails themselves.”
Background
High-speed atomic force microscopy
The general principle of atomic force microscopy (AFM) is to make a very small tip scan the surface of a sample. During this horizontal (xy) scan, the tip, which is attached to a small cantilever, follows the sample’s vertical (z) profile, inducing a force on the cantilever that can be measured. The magnitude of the force at the xy position can be related to the z value; the xyz data generated during a scan then result in a height map providing structural information about the investigated sample. In high-speed-AFM (HS-AFM), the working principle is slightly more involved: the cantilever is made to oscillate near its resonance frequency. When the tip is moved around a surface, the variations in the amplitude (or the frequency) of the cantilever’s oscillation — resulting from the tip’s interaction with the sample’s surface — are recorded, as these provide a measure for the local z value. AFM does not involve lenses, so its resolution is not restricted by the so-called diffraction limit as in X-ray diffraction, for example.
HS-AFM results in a video, where the time interval between frames depends on the speed with which a single image can be generated (by xy-scanning the sample). Researchers at Nano Life Science Institute (WPI-NanoLSI), Kanazawa University have in recent years developed HS-AFM further, so that it can be applied to study biochemical molecules and biomolecular processes in real-time. Mikihiro Shibata and colleagues have now applied the method to study nucleosome dynamics in detail, and in particular the role of the molecular endings of histones — proteins that play a crucial role in DNA accessibility.
Reference
Shin Morioka, Takumi Oishi, Suguru Hatazawa, Takahiro Kakuta, Tomoki Ogoshi, Kenichi Umeda, Noriyuki Kodera, Hitoshi Kurumizaka, and Mikihiro Shibata. High-Speed Atomic Force Microscopy Reveals the Nucleosome Sliding and DNA Unwrapping/Wrapping Dynamics of Tail-less Nucleosomes, Nano Letters ,2024.
DOI: 10.1021/acs.nanolett.4c00801https://pubs.acs.org/doi/10.1021/acs.nanolett.4c00801 
https://nanolsi.kanazawa-u.ac.jp/wp/wp-content/uploads/Figure-1-12.png Figure 1.
High-speed atomic force microscopy visualization of nucleosome dynamics with canonical (top) and tail-less (bottom) histones.© 2024 American Chemical Society
ContactHiroe YonedaSenior Specialist in Project Planning and OutreachNanoLSI Administration Office, Nano Life Science Institute (WPI-NanoLSI)Kanazawa UniversityKakuma-machi, Kanazawa 920-1192, JapanEmail: [email protected]: +81 (76) 234-4555
About Nano Life Science Institute (WPI-NanoLSI), Kanazawa University
Understanding nanoscale mechanisms of life phenomena by exploring “uncharted nano-realms”
Cells are the basic units of almost all life forms. We are developing nanoprobe technologies that allow direct imaging, analysis, and manipulation of the behavior and dynamics of important macromolecules in living organisms, such as proteins and nucleic acids, at the surface and interior of cells. We aim at acquiring a fundamental understanding of the various life phenomena at the nanoscale.https://nanolsi.kanazawa-u.ac.jp/en/
About the World Premier International Research Center Initiative (WPI)
The WPI program was launched in 2007 by Japan’s Ministry of Education, Culture, Sports, Science and Technology (MEXT) to foster globally visible research centers boasting the highest standards and outstanding research environments. Numbering more than a dozen and operating at institutions throughout the country, these centers are given a high degree of autonomy, allowing them to engage in innovative modes of management and research. The program is administered by the Japan Society for the Promotion of Science (JSPS).
See the latest research news from the centers at the WPI News Portal: https://www.eurekalert.org/newsportal/WPI
Main WPI program site: www.jsps.go.jp/english/e-toplevel
About Kanazawa University
As the leading comprehensive university on the Sea of Japan coast, Kanazawa University has contributed greatly to higher education and academic research in Japan since it was founded in 1949. The University has three colleges and 17 schools offering courses in subjects that include medicine, computer engineering, and humanities.
The University is located on the coast of the Sea of Japan in Kanazawa – a city rich in history and culture. The city of Kanazawa has a highly respected intellectual profile since the time of the fiefdom (1598-1867). Kanazawa University is divided into two main campuses: Kakuma and Takaramachi for its approximately 10,200 students including 600 from overseas.http://www.kanazawa-u.ac.jp/e/
 
 
 

View original content:https://www.prnewswire.co.uk/news-releases/kanazawa-university-research-biochemical-tails-tell-a-story-302125876.html

Continue Reading

Artificial Intelligence

Geek+ and System Teknik deploy first PopPick solution in the Nordics for the pharmacy group Med24.dk

Published

on

geek+-and-system-teknik-deploy-first-poppick-solution-in-the-nordics-for-the-pharmacy-group-med24.dk

DUSSELDORF, Germany, April 24, 2024 /PRNewswire/ — Geekplus, the global leader in mobile robot and smart logistics solutions, has deployed the first Shelf-to-Person PopPick project in the Nordics for one of the biggest online pharmacy wholesalers in the region, Med24.dk. System Teknik partnered on the Denmark project, which includes three PopPick stations and 30 Shelf-to-Person robots, bringing a flexible solution to a region where fixed automation still dominates.  

“With the rise of e-commerce, Med24.dk had been struggling with huge sales growth coupled with fast delivery demands from customers in Denmark, Norway, Sweden searching for pharmacy, health and beauty products. Peak season events had also caused considerable strain to their operations,” said Blond Shkodrani, channel partner manager for the Nordics at Geekplus. “Due to their overwhelming success, Med24.dk needed a modular, automated order fulfillment solution for fast, efficient order fulfillment.”
The Geekplus modular Shelf-to-Person solution optimizes warehouse operations using mobile robots to transport shelves. In a region where fixed and cubic solutions have been the trend during recent years, Shelf-to-Person handles goods of all sizes while removing the need for infrastructure investment, making it the most flexible response to order fulfillment challenges.
PopPick workstations use two retrieval arms and four presentation locations to present pickers with multiple, moveable 78-tote racks at one time, resulting in an industry-leading throughput of 450 totes per hour. PopPick can store goods of all types and sizes; the solution is not limited to small pieces and improves ergonomics for workers while picking. It also takes up less space than traditional systems, so customers can use more stations without adding facility space.
“We are very pleased to invest in flooring robots from Geekplus,” said Med24.dk CEO Nils Træholt. “We believe that this new and innovative technology can help us realize our growth ambitions, while maintaining good delivery times for the benefit of our customers.”
Morten Kirch, System Teknik’s CSO, added: “Due to Med24.dk’s growth, we are thrilled to be able to deliver a tailor-made, automated solution that matches their needs.”
Geekplus offers a suite of Goods-to-Person mobile order fulfillment solutions — the only comprehensive robotic offering controlled by a single software platform.
“Through trusted partners like System Teknik, we’re showing customers all over Europe that Geekplus truly is a one-stop shop for modular warehouse automation,” Shkodrani said.
Photo – https://mma.prnewswire.com/media/2395198/Med24_Geekplus_PopPick.jpg Logo – https://mma.prnewswire.com/media/2373458/Geekplus_logo.jpg
 
 

View original content:https://www.prnewswire.co.uk/news-releases/geek-and-system-teknik-deploy-first-poppick-solution-in-the-nordics-for-the-pharmacy-group-med24dk-302125816.html

Continue Reading

Trending