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Analytics Insight glances at some of the top Artificial Intelligence funding in August 2023Multiple companies and start-ups have identified the core field of the major disruptive technology known as artificial intelligence to create new innovations to transform the world into a better place by boosting productivity and driving revenue. Organizations need sufficient AI funding to create these smart machines for the tech-driven world. Artificial intelligence funding can come through millions of dollars of investment from eminent companies in some popular funding events like Series A, Series B funding, etc. Let’s take a quick glance at some of the top Artificial Intelligence funding in August 2023.
Top Artificial Intelligence funding in August 2023 chúng tôiNektar.ai has raised US$6 million and the total AI funding of US$8.1 million as a part of its seed round from investors like B Capital Group, 3One4 Capital as well as Nexus Venture Partners in August 2023. This one-year-old company is known as a B2B sales productivity start-up and recently became popular for one of the biggest rounds for a SaaS start-up. The AI-powered guided selling solutions capture real-time data from multiple sources such as emails, conferences, calendars, and many more.
chúng tôiNeuron7.ai has successfully raised artificial intelligence funding worth US$4.2 million in a seed funding round by Nexus Venture Partners and Battery Ventures to expand its engineering, product, and sales teams. This company helps to drive the transformation of customer services into a cloud-based AI-powered workflow, especially in the manufacturing, healthcare, and technology sectors.
chúng tôiClosedLoop.ai has received one of the top AI funding of August 2023 as it raised US$3.4 million in Series B financing from Telstra Ventures. The Austin-based company has an aim to expand the healthcare data science platform with this funding. The Explainable AI reimagines the concept of patient risk profiling from personalized predictions delivered directly into the clinical workflow. It helps the clinical teams to prevent serious consequences, enhance results and reduce costs in different areas.
ExpertronsExpertrons is a popular Mumbai-based EdTech start-up that has raised US$2.3 million in a Pre-Series A AI funding round for investing in patent-pending artificial intelligence video bot technology and recommendation engine to guide aspirants to seek the right experts for landing good opportunities in the future. The artificial intelligence funding was from Venture Catalysts, Auxano Capital, Venture Garage, and many more.
chúng tôiNimbleBox.ai is known as an MLOps company that has successfully raised US$1 million in a seed round by Venture Catalysts. The company will utilize this AI funding to develop and offer toolkits for developers focused on artificial intelligence, grow the team and evaluate the existing customer base. It is a Chennai-based start-up focused as a Platform-as-a-Service (PaaS) to offer data scientists and machine learning practitioners the to create and launch multi-cloud applications on an intuitive browser-based platform.
chúng tôiPeople.ai has received one of the top artificial intelligence funding in August worth US$100 million in a Series D funding by Akkadian Ventures and Mubadala Capital. The company’s aim is to develop capabilities of the SmartData platform to provide accurate go-to-market insights to the revenue teams and expand new segments in the future. The focus is to unlock human productivity with the help of real-time data.
ImubitImubit is known as a leader of artificial intelligence process optimization for refiners and chemical operators with its closed-loop neural network platform. The company has raised US$50 million to invent a scientifically novel type of deep reinforcement learning to optimize high-value refinery and chemical plant processes.
chúng tôiMultiple companies and start-ups have identified the core field of the major disruptive technology known as artificial intelligence to create new innovations to transform the world into a better place by boosting productivity and driving revenue. Organizations need sufficient AI funding to create these smart machines for the tech-driven world. Artificial intelligence funding can come through millions of dollars of investment from eminent companies in some popular funding events like Series A, Series B funding, etc. Let’s take a quick glance at some of the top Artificial Intelligence funding in August chúng tôi has raised US$6 million and the total AI funding of US$8.1 million as a part of its seed round from investors like B Capital Group, 3One4 Capital as well as Nexus Venture Partners in August 2023. This one-year-old company is known as a B2B sales productivity start-up and recently became popular for one of the biggest rounds for a SaaS start-up. The AI-powered guided selling solutions capture real-time data from multiple sources such as emails, conferences, calendars, and many chúng tôi has successfully raised artificial intelligence funding worth US$4.2 million in a seed funding round by Nexus Venture Partners and Battery Ventures to expand its engineering, product, and sales teams. This company helps to drive the transformation of customer services into a cloud-based AI-powered workflow, especially in the manufacturing, healthcare, and technology chúng tôi has received one of the top AI funding of August 2023 as it raised US$3.4 million in Series B financing from Telstra Ventures. The Austin-based company has an aim to expand the healthcare data science platform with this funding. The Explainable AI reimagines the concept of patient risk profiling from personalized predictions delivered directly into the clinical workflow. It helps the clinical teams to prevent serious consequences, enhance results and reduce costs in different areas.Expertrons is a popular Mumbai-based EdTech start-up that has raised US$2.3 million in a Pre-Series A AI funding round for investing in patent-pending artificial intelligence video bot technology and recommendation engine to guide aspirants to seek the right experts for landing good opportunities in the future. The artificial intelligence funding was from Venture Catalysts, Auxano Capital, Venture Garage, and many chúng tôi is known as an MLOps company that has successfully raised US$1 million in a seed round by Venture Catalysts. The company will utilize this AI funding to develop and offer toolkits for developers focused on artificial intelligence, grow the team and evaluate the existing customer base. It is a Chennai-based start-up focused as a Platform-as-a-Service (PaaS) to offer data scientists and machine learning practitioners the to create and launch multi-cloud applications on an intuitive browser-based chúng tôi has received one of the top artificial intelligence funding in August worth US$100 million in a Series D funding by Akkadian Ventures and Mubadala Capital. The company’s aim is to develop capabilities of the SmartData platform to provide accurate go-to-market insights to the revenue teams and expand new segments in the future. The focus is to unlock human productivity with the help of real-time data.Imubit is known as a leader of artificial intelligence process optimization for refiners and chemical operators with its closed-loop neural network platform. The company has raised US$50 million to invent a scientifically novel type of deep reinforcement learning to optimize high-value refinery and chemical plant processes.A New York-based talent intelligence platform has recently raised US$7 million of Artificial Intelligence funding from Square Peg, Hetz Ventures, and many more. The aim is to use this AI funding for the US expansion, hiring of key talent as well as product development. It is popular for leveraging artificial intelligence and machine learning to enable governments and other companies to retrain and upskill talent for different purposes.
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A Quick Glance Of Top 10 Illustrator Plugins
Introduction to Illustrator Plugins
Illustrator plugins are a helpful inclusion to Adobe’s vector tool. Adobe Illustrator tries to expand on its robust vector-editing abilities with every latest release. Additionally, a broad range of third-party Illustrator add-ons is out in the market that will save you time and add a little shine to your drawing.
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Top Plugins of IllustratorHere are the top plugins of Illustrator, which are as follows:
1. Cineware 2. VectorScribe v3You can control vectors with VectorScribe, defined by its inventors as a vector-based Swiss Army Knife. You can utilize this tool to control paths, handles, and points, making your work simple whenever you want to edit and reduce file sizes.
You can produce and edit whatever shapes you want and apply various styles of edges to your design. With the help of VectorScribe’s effective measurements, you can swiftly and precisely estimate everything from straightforward lengths to path areas and angles, eliminating any assumption when you require things with precise sizes.
3. Gold RushTo provide your design with an elegant look, you can use Gold Rush, a plugin that offers all the foil, metallic, and glitter effects you will ever require. It contains 218 swatches in a raster format and 35 stroke elements.
The set comprises crumpled foil, hot foil effects, metallic paint, gold leaf, and many more. It is available in gold, rose gold, silver, copper, and black.
4. VectorFirstAid V2The latest characteristics in VectorFirstAid V2 pay attention to the text grasp. With the reconstruction of the Combine Text Lines Engine, it now aids transformed and rotated kind and keeps possession of tracking, kerning, sub and superscripts, indents, etc. One of the functional tools is the alignment of point text, which has alternatives to snap the text aside and eliminate text conversions.
5. AssimilateA plugin filter that bridges multiple paths into one constant path that finds similarity to the merge path command when utilizing the blob brush tool in Illustrator.
Concatenate has a few additional characteristics, including an assimilate function, which examines and merges a selected area or layer for unselected paths and merges them.
6. Everdrifter Watercolor Pro EffectsThis plugin provides brushes with a watercolor style to provide a pragmatic painted effect to your design.
An enormous package of tools is present, and you can access 12 watercolor AI brushes and 49 watercolor background tiles. It has more than 42 instant watercolor-effect graphic styles and 50 practical paint splats.
7. Fontself MakerThis plugin is essential to a designer. It permits you to produce standard and color vector fonts from your engraving. It will make your design unique and provides a creative edge.
It is very easy to utilize this plugin by pulling and dropping your engraving into the Fontself Maker panel; the rest is done by it. Once you finish your font, you can export it in an otf format and utilize it in your design whenever needed.
8. Phantasm v3This plugin is known for its simplicity. It productively acts as a mediator between Photoshop and Illustrator, which adds bitmap-editing functions and alternatives to a vector plan. It includes hue, saturation and curves, automation functions, levels, etc.
It provides halftone and duotone alternatives with non-destructive effects. It also provides a preview of overprint and a separations choice that appends some significant prepress weight to Illustrator’s armory.
9. Magic ExporterMagic Exporter, developed by Jeremy Marchand, unravels the procedure of exporting object items from Ai documents to web-ready PNG files. With Magic Exporter, you have to mark the object you require and export it with the assistance of the dedicated menu. You do not have to hide or slice the layers to export the object manually.
10. YemZ Mesh TormentorArtists have different opinions regarding gradient meshes in Illustrator. Some think they provide pliability and pragmatism, but some think they merely try to imitate images. Still, mesh tormentor simplifies and swifters the procedure no matter which side of your argument.
Twenty new buttons are accessible, allowing you to turn knots into vertexes, reflect, rotate, shift colors, transform mesh into a segment of paths, and much more.
ConclusionPlugins available for Adobe Illustrator can enhance artisanship about both standards and time. Illustrator plugins expand Adobe Illustrator’s definite purposes to permit consumers to improve particular features of their designs. They permit consumers to provide a superior-looking result with the help of high-end features that Illustrator would not give you. Plugins are cost-effective, save time, support clarity, include multiple versions within one document, and provide extra characteristics like CAD functionality and 3D preview.
Recommended ArticlesThis is a guide to Illustrator Plugins. Here we discussed the basic concept and the list of the top 10 Illustrator Plugins. You can also go through our other suggested articles to learn more –
Top Masters Programmes In Artificial Intelligence In India For Students In 2023
Analytics Insight provides top master’s programs in artificial intelligence in India
Being a developing country, the Government of India has allocated sufficient funds to invest in the development of AI in India. This initiative has encouraged some of the top educational institutes to offer master’s programmes in artificial intelligence. Artificial intelligence in India has ample opportunities to grow and drive domestic revenue in the nearby future. A large number of students are highly interested to pursue master’s programmes in India with a specialization in AI. Thus, let’s explore some of the top master’s programmes in artificial intelligence in India for students in 2023 and beyond.
Top Master’s programmes in artificial intelligence in India Master of Artificial Intelligence in Business at SP Jain School of Global ManagementSP Jain School of Global Management is offering a master’s programme in artificial intelligence with a two-year full-time course. This course will cover the foundations, principles, and techniques of AI with practical projects in retail, manufacturing, finance, and other industries. There is an option for choosing a study format— online or physical classroom. It will provide sufficient knowledge of AI and business management with research methods competency and design thinking skills. The students can create recommender systems for e-commerce platforms, AI-based financial portfolio management, and many more.
1. Tech in Artificial Intelligence at IIT RoorkeeIIT Roorkee is one of the well-known educational institutes for pursuing master’s programmes in India. It is offering M. Tech in artificial intelligence with a wide range of courses to get accustomed to and receive sufficient knowledge of the major cutting-edge technology. The course offers data mining and warehousing, deep learning, NLP, AI for Earth observation, AI for investment, IoT, and many more. This master’s programme in artificial intelligence is also offering the basics of linear algebra, gradient calculus, probability and statistics, information theory, and other papers to train students at their best.
2. Tech in Artificial Intelligence at IIT HyderabadIIT Hyderabad is offering a master’s programme in artificial intelligence with different options to encourage students from all backgrounds to study and learn about these major disruptive technologies— M. Tech in 2 years with T.A and self-sponsored as well as M. Tech in 3 years. The mission of the Department of AI is to train students to have a strong understanding of the fundamentals and practical’s of AI and machine learning, allow students to become the future leaders nationally and globally, as well as bridge the gap between demand and supply of AI and machine learning in the country. There are excellent laboratory facilities with state-of-the-art facilities like software and hardware with smooth internet connectivity. The course includes a wide range of AI research areas such as deep learning, computer vision, autonomous vehicles, big data analysis, NLP, and many more.
3. Tech in Artificial Intelligence and Machine Learning at LPU 4. Tech (Computer Science and Engineering with Specialisation in AI & ML) at VITVIT offers M. Tech in Computer Science and Engineering with specialization in AI and ML that includes a master’s thesis, mathematics for artificial intelligence, and many more. The course offers principles and techniques of AI, machine learning techniques, big data analytics, cloud computing, deep learning and its applications, and lots more interesting papers.
5. Tech in Artificial Intelligence at IISc, BangaloreStudents can receive courses on artificial intelligence in India from IISc, Bangalore that offers a two-year M. Tech in artificial intelligence to bridge the gap in the availability of high-end AI scientists and engineers. The mission is to impart rigorous training in the foundations as well as deep technology of AI to lead India to march towards leadership in this cutting-edge technology. It is a joint programme of the division of electrical, electronics, and computer science department with more than 30 faculty members. There is also a one-year research and development project with an emphasis on publications, patents, software, and products.
A Quick Glance Of Rad Model
Introduction to RAD Model
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The RAD model, similar to other software development models, has its specific phases of development. They are as follows:
Planning and Requirement Analysis
Designing Project Architecture
Development and Programming
Testing
Deployment and Maintenance
How to Pick the Best SDLC Model for the Project?Before proceeding further, there is a crucial question that requires consideration: How to determine which Software Development Life Cycle model (SDLC) is best?
It is crucial that the selected SDLC model fulfills all the given requirements. There is no single SDLC model that meets all the requirements, and every model has its own pros and cons. Before choosing a particular model, it should be analyzed, tested properly, and then only put into practice.
What is RAD Model?The RAD model is a popular software development model. It is a type of incremental model where multiple small chunks of development are picked and developed simultaneously to achieve the larger goal. The incremental model involves breaking down major features into smaller, more manageable chunks, which are then developed individually.
1. Planning and Requirement Analysis:This is one of the most crucial stages, where initial requirements are gathered and analyzed properly. The planning involves creating a roadmap and identifying risks and challenges. It is essential to have a proper understanding of requirements to ensure that the final product meets the expectations.
2. Designing Project Architecture:The next task is project architecture development. The project architecture should be flexible enough to accommodate the addition of new files and folders easily. The design phase is crucial for laying the foundations for the developmental phase.
3. Development and Programming:Now comes the task of developing the project. It involves writing piles of code so as to get the product into a feasible state. The coding process should be collaborative to ensure consistency betweem all team members.
4. Testing:This phase involves testing of the developed product, where a designated team undertakes the task. The team reports and fixes any defects found before deployment.
5. Deployment and Maintenance: Advantages:
Rapid development of the product
Development of reusable small components
Repetitive review during development
Integration of reusable components at an early stage saves effort even without adding bigger modules
Constructive feedback
Requires significant effort for gathering all requirements at the initial stage
Modeling skills have many dependencies
Not suitable for low-budget projects
When to use the RAD Model?The RAD model is ideal to use in the following situations:
When there is a need to develop a product within a short timeframe
When there is a large number of developers available, allowing for the simultaneous development of multiple components that can later be integrated into bigger modules
Sufficient resources are available to gather all requirements at the initial stage
Why use the Spiral Model?For a holistic understanding, one should understand the usage of the Spiral model. This would help differentiate between the two models and assist in choosing between the two.
The Spiral model adopts a risk-driven approach and focuses on continuous refinement through multiple iterations. This model offers a flexible framework, allowing for the integration of various models or processes. While the RAD model is ideal for projects with a short timeframe and clear requirements, the Spiral model is appropriate for complex and large projects, where the requirements may sometimes be subject to change.
Conclusion Recommended ArticlesA 2023 Guide For A Lucrative Artificial Intelligence Career Path
blog / Artificial Intelligence and Machine Learning Is There a Demand for AI Engineers? Can You Make it a Successful Career?
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According to a PwC report, Artificial Intelligence (AI) could contribute an astounding $15.7 trillion to the global economy by 2030. Organizations have already recognized AI’s game-changing capabilities and are using it to improve their efficiency and productivity. The critical role of creating AI systems and applications becomes the all-important job of an AI engineer. Against the backdrop of the growing demand for this position, this blog examines the skills required to become an AI engineer, the ideal artificial intelligence career path, and why it could be a rewarding and exciting field of work for you.
Who is an AI Engineer?A professional who designs and develops AI-based systems and applications is an AI engineer. They are responsible for developing algorithms and training models, testing and evaluating AI systems, and deploying them in the real world. AI engineers typically have experience with programming languages such as Python, Java, or C++, as well as machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. In fact, they could also be trained in data science, statistics, or computer science. Moreover, good communication skills are extremely important for this role to work effectively with team members and stakeholders and understand the ethics of AI development and deployment.
Why is This Role in DemandAI engineers play a critical role in helping organizations leverage data to gain insights, automate tasks, and make informed decisions, with the potential to revolutionize many aspects of our lives, from healthcare to transportation. Hence, this growing demand for AI engineers is expected to continue in the coming years and will create plenty of opportunities for those with the necessary skills and expertise.
ALSO READ: Types of Artificial Intelligence and Their Top Transformational Uses
Soft and Hard Skills Soft Skills
Communication:
AI engineers must be able to effectively communicate with team members, stakeholders, and clients to understand their requirements, share ideas, and explain complex concepts.
Collaboration:
AI development is a collaborative effort, and AI engineers must be able to collaborate with data scientists, software developers, and other professionals to build and deploy AI systems.
Problem-solving:
To solve complex problems, AI engineers must be skilled at analyzing data, identifying patterns, and developing algorithms.
Adaptability:
As AI technology evolves, AI engineers must be adaptable and willing to learn new tools, techniques, and methodologies.
Creativity:
AI engineers must be creative and should come up with innovative solutions to problems.
Hard Skills
Programming languages:
AI engineers must be proficient in programming languages such as Python, Java, or C++.
Machine learning frameworks:
They should be familiar with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.
Data Modeling:
They have to be skilled in developing and training machine learning models, including regression, classification, clustering, and deep learning models.
Mathematics and Statistics:
They must have a strong foundation in mathematics and statistics, including linear algebra, calculus, probability, and statistics.
Big data technologies:
Because AI applications frequently involve large datasets, these engineers should be familiar with big data technologies such as Hadoop, Spark, and NoSQL databases.
Ideal Career PathThe following constitute an ideal artificial intelligence career path for an AI engineer:
Average Salary Across Geographies
Country Average Annual Salary
United States
$120,119
United Kingdom
$60,971
India
$11,788
France
$47,429
Germany
$66,051
Best Emeritus CoursesTo summarize, AI engineers play a critical role in developing and implementing AI systems, which are rapidly becoming a necessity for a variety of industries, resulting in high demand for this position. To learn more about this artificial intelligence career path, explore Emeritus’ machine learning and artificial intelligence courses, developed in tie-up with the best universities around the world.
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Top Data Science Jobs In August In 2023
To handle 2.5 quintillion bytes of data produced every day, enterprises need professionals who can treat, analyse and organise this data to provide valuable business insights, for intelligent actions. A data scientist dons many hats in his/her workplace. Not only they are responsible for business analytics, they are also involved in developing software platforms and building data products, along with being experts into data visualizations and machine learning algorithms. Much has been spoken about a data scientist being is the sexiest job title of the 21st century and data science as the most promising field. Building grounds on what that is already been written and said, Analytics Insights compiles the list of the top
• Data ScientistAverage Salary: US$140,000 Data Scientists analyse the source of data with an effort to clean, and organize it for companies. Data scientists need to analyse large amounts of complex raw and processed information unearthing patterns that will benefit an organization that drive strategic business decisions. Compared to
• Machine Learning EngineerAverage Salary: US$115,000 Machine learning engineers create data funnels and help the tech team to deliver software solutions. They typically need programming skills, besides strong statistics in addition to the knowledge of software engineering. In addition to designing and building machine learning systems, machine learning engineers are also responsible for running tests and experiments that monitor the performance and functionality of such systems.
• Machine Learning ScientistAverage Salary: US$115,000 They research new
• Data ArchitectAverage Salary: US$105,000 Data Architect’s ensure that the data solutions are built for performance. They design analytics applications for multiple platforms. In addition to creating new database systems, data architects often find ways to improve the performance and functionality of existing systems, as well as working to provide access to database administrators and analysts. They are well-versed with applied math and statistics, data visualization and data migration and RDMSs (relational database management systems) or foundational database skills. Data Architects have the knowledge about database management system software, especially Microsoft SQL Server, NoSQL and cloud computing.
• Data EngineerAverage Salary: US$105,000 They perform batch processing or real-time processing on gathered and stored data.
• Data AnalystAverage Salary: US$60,000
To handle 2.5 quintillion bytes of data produced every day, enterprises need professionals who can treat, analyse and organise this data to provide valuable business insights, for intelligent actions. A data scientist dons many hats in his/her workplace. Not only they are responsible for business analytics, they are also involved in developing software platforms and building data products, along with being experts into data visualizations and machine learning algorithms. Much has been spoken about a data scientist being is the sexiest job title of the 21st century and data science as the most promising field. Building grounds on what that is already been written and said, Analytics Insights compiles the list of the top Data Science jobs for the month of August-: US$140,000 Data Scientists analyse the source of data with an effort to clean, and organize it for companies. Data scientists need to analyse large amounts of complex raw and processed information unearthing patterns that will benefit an organization that drive strategic business decisions. Compared to data analysts, data scientists are much more technical, and possess an expertise in at least one programming language – R/ Python, data extraction, transformation, and loading capabilities. Skilled in data exploration, with a knowledge of machine learning algorithms, big data processing they are adept in data visualization as well.: US$115,000 Machine learning engineers create data funnels and help the tech team to deliver software solutions. They typically need programming skills, besides strong statistics in addition to the knowledge of software engineering. In addition to designing and building machine learning systems, machine learning engineers are also responsible for running tests and experiments that monitor the performance and functionality of such systems. Machine learning engineers know the concepts of computer science, software engineering, data analysis, feature engineering and the metrics involved in ML. They have expertise in maths and statistics and are knowledgeable in algorithm selection, and cross validation.y: US$115,000 They research new data approaches and algorithms to be used in adaptive systems. ML specialists have the data science know how, including supervised, unsupervised, and deep learning techniques. They are hired under the titles of research scientist or research engineer. The knowledge skills include robotics and machine learning, cognitive science and engineering. They have expertise in mathematics concepts and mathematical models: US$105,000 Data Architect’s ensure that the data solutions are built for performance. They design analytics applications for multiple platforms. In addition to creating new database systems, data architects often find ways to improve the performance and functionality of existing systems, as well as working to provide access to database administrators and analysts. They are well-versed with applied math and statistics, data visualization and data migration and RDMSs (relational database management systems) or foundational database skills. Data Architects have the knowledge about database management system software, especially Microsoft SQL Server, NoSQL and cloud computing.: US$105,000 They perform batch processing or real-time processing on gathered and stored data. Data engineer are also responsible for building and maintaining data pipelines which create a robust and interconnected data ecosystem within an organization, making information accessible for data scientists. Data Engineers know all about the ae tools and components of Data Architecture. Have an in-depth knowledge of SQL and other database solutions. They are experts into Hadoop-Based Analytics (HBase, Hive, MapReduce, etc.), coding, ML and various operating systems.: US$60,000 Data Analysts typically transform and manipulate large data sets. They also aid in the decision-making process by preparing intelligent reports to communicate trends and insights. Data Analysts are proficient in a high level of mathematical ability, programming languages like SQL, Oracle and Python and ability to analyse the model and interpret data. Data Analysts are experts in problem-solving skills with a methodical and logical approach to plan work and meet deadlines.
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