ISSUE: December 2024

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A Timeless Tradition: The Tale of Calendars and New Year Celebrations

As the clock ticks past midnight, heralding the start of the year 2025, we find ourselves in the warm embrace of traditions, resolutions, and hopes for the future. But have you ever stopped to wonder about the origins of this universal ritual? The celebration of a New Year is deeply entwined with the advent of calendars, a fascinating journey through time, culture, and innovation.

Civilizations like the Egyptians transitioned to solar calendars, comprising 12 months of 30 days each, with an additional five days added at the end of the year. This was critical for predicting the Nile’s annual flooding, which was essential for agriculture. This structure created a 365-day calendar, though it did not account for the extra 0.25 days in the solar year, leading to a gradual drift over centuries.

The calendar, a seemingly simple tool, is a profound creation of mankind. Its development is closely tied to humanity’s desire to understand and measure the passage of time, regulate daily life, and align activities with the cycles of nature. The first steps toward the creation of calendars began when ancient civilizations observed the patterns of celestial bodies such as the Sun, Moon, and stars. These patterns were essential for predicting natural events like seasons, tides, and eclipses, which were critical for agriculture, navigation, and religious rituals.

The earliest calendars were lunar calendars, based on the phases of the Moon. Ancient Indian civilizations developed and used a variety of calendars that were rooted in astronomical observations, cultural practices, and religious rituals. These calendars were a testament to ancient India’s advanced understanding of mathematics, astronomy, and timekeeping. References to timekeeping in India are found in the Rigveda and Atharvaveda. The Vedic calendar was primarily lunar, with months divided according to the waxing and waning phases of the Moon, forming the basis of Hindu festivals, agricultural activities, and astrological predictions.

Civilizations like the Egyptians transitioned to solar calendars, comprising 12 months of 30 days each, with an additional five days added at the end of the year. This was critical for predicting the Nile’s annual flooding, which was essential for agriculture. This structure created a 365-day calendar, though it did not account for the extra 0.25 days in the solar year, leading to a gradual drift over centuries.

Many ancient systems, such as the Hindu calendar and the Hebrew calendar, combined lunar months with solar years and developed what were known as Lunisolar Calendars. These calendars included “leap months” to synchronize the two cycles. The Roman Republic initially used a lunisolar calendar, which was riddled with inconsistencies due to political interference in adding intercalary months. This calendar initially marked the beginning of a New Year on March 1st, aligning with the advent of the agricultural season.

To address this discrepancy, Julius Caesar introduced the Julian calendar in 45 BCE, based on a solar year of 365.25 days. The calendar added a leap day every four years to correct the annual drift, bringing significant stability to timekeeping. The beginning of a New Year was shifted to January 1st to coincide with political transitions.

By the 16th century, the Julian calendar’s leap year system had created a drift of approximately 10 days. Pope Gregory XIII reformed the calendar in 1582, introducing what is now known as the Gregorian calendar. Key changes included adjusting the leap year system & realigning the calendar with the equinox to restore accuracy in observing religious events like Easter.

This calendar was gradually adopted worldwide and remains the standard today for civil use, marking January 1st as the beginning of the year.

In a diverse country like India, while the Gregorian calendar is dominant, the New Year is not restricted to January 1st. Various communities celebrate the New Year at different times of the year, each with its unique flavour and significance reflecting the country’s rich cultural and religious diversity. For instance, the Parsi community follows the Zoroastrian calendar, and their New Year, known as Navroz (or Nowruz), typically falls around March 20-21, coinciding with the vernal equinox. It marks the beginning of the spring season and is celebrated with prayers, feasts, and family gatherings. Hindus celebrate the New Year according to regional calendars like the Vikram Samvat and Saka calendar. For example, Gudi Padwa (in Maharashtra), Ugadi (in Andhra Pradesh and Karnataka), and Vishu (in Kerala) all coincide with the start of the Chaitra month in the lunisolar calendar, usually in March-April. Sikhs celebrate Vaisakhi as their New Year, which usually falls on April 13 or 14 and marks the beginning of the harvest season. In Bengal, Pohela Boishakh, the ‘Bengali New Year’, is celebrated on April 14 or 15, marking the beginning of the Boishakh month in the Bengali calendar, with traditional foods, cultural performances, and processions. The Tamil New Year, known as Puthandu, falls on April 14 and is celebrated with prayers, feasts, and new clothes. It aligns with the start of the solar year in the Tamil calendar. Mahavir Jayanti (celebrating Lord Mahavir’s birth) often coincides with the New Year in Jainism, while Buddhists in India celebrate Buddhist New Year in different regions, based on local customs, usually around April.

The Panchang is a traditional Indian calendar system deeply rooted in astronomy, astrology, and Hindu cultural practices. Unlike purely solar or lunar calendars, the Panchang is a lunisolar calendar, meticulously combining the cycles of the Moon and the Sun to mark time. It incorporates leap months approximately every three years to align with the solar year. The term “Panchang” is derived from the Sanskrit words Pancha (five) and Anga (limbs or parts), signifying the five core elements that form its basis & organizes time into years, months, fortnights, days, and hours based on lunar and solar movements. The Panchang is based on precise astronomical observations, combining knowledge of planetary positions with traditional calculations.

The concept of a New Year is deeply rooted in the function of calendars. They serve not just as tools for timekeeping but as cultural artefacts, embedding within them the hopes, aspirations, and rhythm of societies. Each New Year celebration is a reflection of human nature’s desire to mark progress, set goals, and cherish the opportunity for renewal.

New Year and Intellectual Property Rights

Interestingly, the concept of “Happy New Year” has ventured beyond cultural and social realms into the domain of intellectual property. In India, phrases like “Happy New Year” and “New Year” have been registered as trademarks and copyrights. Businesses across industries often use these phrases for marketing campaigns, branding, or promotional events. For instance, beverages, greeting card manufacturers, and even entertainment companies seek trademarks incorporating festive phrases to capitalize on the celebratory mood.

A perusal of the records of the Indian Trade Marks Registry shows several applications as well as registered trademarks, including inter alia:

 (Apl. No. 3982406)

(Reg. No. 1009644)

(Reg. No. 2817498)

These trademarks have been filed in connection with goods such as calendars and services pertaining to channel broadcasting, feature films, and entertainment.

Furthermore, there are several copyright applications filed in respect of literary works and artistic works. For example:

  • New Year Greeting (ROC No. A-69508/2005) – filed for a literary work.
  • Song “India Waale” from the movie Happy New Year (ROC No. SR-11212/2014) – filed as an artistic work.

As we step into another year, the calendar reminds us of its remarkable legacy—a system that not only organizes time but also reflects our collective cultural journeys. Whether it’s January 1st, Diwali, or Gudi Padwa, every New Year celebration underscores humanity’s enduring spirit of renewal and progress.

From all of us at R K Dewan & Co., here’s wishing you a year filled with happiness, success, and inspiration! May your calendar be marked with milestones and memories to cherish. Cheers to another journey around the sun!

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R K Dewan & Co. at APAA 2024: Shaping the Future of IP

R K Dewan & Co. is proud to announce the participation of Dr. Mohan Dewan (Patent and Trademark Attorney) and Dr. Niti Dewan (Patent and Trademark Attorney, Head of Patents and Business Development) in the 76th Council Meeting of the Asian Patent Attorneys Association (APAA 2024), held from November 18–21 in Manila, Philippines. This esteemed event convened leading minds, experts, and professionals from across the globe to engage in meaningful discourse on the evolving challenges and advancements in the field of intellectual property & the transformative influence of Artificial Intelligence (AI) on the IP ecosystem. Prominent sessions delved into the ethical, legal, and regulatory dimensions of AI, particularly its interplay with data protection and privacy laws. These discussions underscored the need for balanced frameworks that foster technological innovation while safeguarding legal and ethical integrity. The event served as a vital platform for thought leadership, collaboration, and future-oriented strategies in the dynamic realm of intellectual property. R K Dewan & Co. is thankful to APAA for its wonderful organization of the meeting and looks forward to many more such events in the future for a better IPR aware world and society.

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Workshop on Invention Identification and IP Management at Hyundai Mobis R&D

R K Dewan & Co. is delighted to share that Dr. Mohan Dewan successfully conducted a two-day workshop for the stakeholders of Mobis Technical Center of India (Hyundai Mobis R&D) on November 12–13, 2024, in Hyderabad. The workshop focused on the critical areas of invention identification and intellectual property (IP) management, with an emphasis on patents. Dr. Dewan engaged with the participants by identifying 28 potential inventions and providing valuable training to the engineers on IP and patent-related matters.

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R K Dewan & Co. at LESI APAC Conference 2024

R K Dewan & Co. is delighted to share that Adv. Isha Gandhi (Senior Legal Associate) and Adv. Arjun Pradhan (Senior Legal Associate) of our firm attended the Licensing Executives Society International (LESI) APAC Conference 2024, held from November 23-26, 2024, in New Delhi.

This year’s conference, themed “Licensing 3.0 for an Artificially Intelligent Universe,” highlighted the transformative power of Gen AI technology and its ability to democratize healthcare, boost industrial efficiencies, enhance education accessibility, and create markets of the future.

The conference fostered enriching networking sessions and valuable exchanges of ideas on critical topics such as Opportunities & Challenges in IP Licensing & Gen AI, Ownership & Commercialization of Data, Data Privacy & Security in the Age of IoTs, Metaverse, & Gen AI, and Ethics & Liabilities of Technology Adoption among global experts.

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Advancing the Frontiers of Intellectual Property Rights

As a firm committed to advancing the frontiers of Intellectual Property Rights, R K Dewan & Co. is a domain-agnostic solutions provider and proud to stand at the crossroads of innovation and responsibility, serving diverse industries in this Gen AI era.

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A View From Afar

Progress or Infringement?

Justice Manmohan Singh of the Delhi High Court once remarked, “The world is a global village.” This sentiment aptly captures our interconnected era, where globalization and intertwined markets redefine our world. Today, court judgments worldwide can have profound ripple effects, extending far beyond their local jurisdictions to influence economies and industries globally.

Welcome to “A View from Afar,” a series dedicated to exploring international judgments and their far-reaching impacts. This series bridges the gap between diverse legal systems and their global repercussions, offering a panoramic view of the intricate interplay between law and commerce.

We delve into landmark rulings from across the world, unpacking the legal reasoning and examining their practical implications. Each article provides a thorough analysis, shedding light on how these judgments affect not only the parties directly involved but also regulatory frameworks, corporate strategies, and global market dynamics.

Whether it is a judgment from any corner of the world, we analyze its profound impact in other jurisdictions, navigating the labyrinth of international jurisprudence.

The intersection of Artificial Intelligence (AI) and copyright law is an intensifying global debate. In this installment of “A View from Afar,” we analyze the Hamburg Regional Court’s decision in Robert Kneschke v LAION e.V. This case explores whether using copyrighted works, like photographic images, for training AI models constitutes copyright infringement or falls under permissible exceptions like “scientific research.”

While this judgment sparked considerable discussion in Europe, its implications resonate globally, especially in countries like India, where AI innovation is burgeoning but regulatory frameworks remain nascent. This article examines the Hamburg Court’s reasoning, its lessons for Indian copyright law, and its impact on India’s AI and innovation landscape.

LAION e.V. (Large-scale Artificial Intelligence Open Network) is a non-profit organization facilitating open research on machine learning models by creating large datasets.

The case arose when Robert Kneschke, a German photographer, alleged that his copyrighted photographs were used without consent in the LAION 5B dataset. Kneschke argued that this unauthorized use constituted copyright infringement.

LAION defended its actions by citing the exception of ‘scientific research’ under the EU Directive on Copyright in the Digital Single Market (DSM Directive). The key issues for consideration before the Court were: firstly, did text and data mining (TDM) constitute copyright infringement under the German Copyright Act? Secondly, could TDM be protected under exceptions like “scientific research” provided in the EU Directive on the Digital Single Market (DSM Directive)? Finally, how did the opt-out mechanism impact the rights of copyright holders versus the needs of AI developers?

The German Copyright Act defines text and data mining (TDM) as the automated analysis of digital works to identify patterns, trends, and correlations. Section 44b of the Act limits authors’ rights to allow TDM for scientific purposes. The Court found that LAION’s use of Kneschke’s images involved reproducing the content to enable correlations between images and text descriptions. The Court observed that this activity qualified as a non-infringing use under Section 44b since it was deemed essential for training AI models.

The Court also referred to Article 5(5) of the InfoSoc Directive, which lays down a three-step test for exceptions to copyright and held that LAION’s use of Kneschke’s images did not conflict with the normal exploitation of his works protected as copyrights. Moreover, LAION’s activities were limited to enabling innovation, aligning with technological advancements, and did not commercialize the images.

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Sufficient and Enabling Disclosure in a Patent Specification for an Invention with an element of Artificial Intelligence (AI) and/or Machine Learning

In recent years, Artificial Intelligence (AI) and Machine Learning (ML) have become integral to technological advancements across industries. Studies indicate that nearly 60% of patent filings contain elements of AI or ML. From autonomous driving systems and medical diagnostics to personalized recommendation engines and financial forecasting tools, AI-ML technologies are now central to the innovation landscape. For instance, the World Intellectual Property Organization (WIPO) reported a 28% increase in patent filings related to AI from 2019 to 2023, a trend that reflects the rapid adoption of these technologies across a wide range of fields.

Given the ubiquitous integration of AI-ML, it is essential for patent specifications to provide a clear, comprehensive, and technically sound description of these components. To aid inventors and patent professionals in this process, we have prepared a checklist of essential elements that should be included in a patent specification to ensure it is complete and enabling and can withstand scrutiny from Patent Offices around the world. This checklist focuses on the unique requirements for inventions featuring AI-ML elements or incorporating method steps utilizing AI-ML techniques.

Checklist for Sufficient and Enabling Disclosure in a Patent Specification for an Invention with an element of Artificial Intelligence (AI) and/or Machine learning (ML) or a method step which involves the use of AI-ML.

  • General Information, Background, Description Clearly define how AI-ML contributes to solving the technical problem.
  • Step-by-Step Description of the Method or System System Architecture: Provide a system architecture diagram to visually illustrate the components and data flow within the system. Flow of the Process: Provide a clear and detailed flowchart or block diagram of the method/system. Explicitly indicate where and how AI-ML is integrated. AI-ML-Driven Components: Clearly describe the functionality of AI-ML components in the broader system. Define inputs, intermediate processing steps, and outputs for the AI-ML component. Novel Technical Steps: Highlight any novel steps involving AI-ML and their contribution to the technical effect. Explain why these steps are non-obvious compared to prior art.
  • Definitions and Terminology Define technical terms and jargon (e.g., “neural network,” “training epoch,” “reinforcement learning”). Define terms critical to understanding the claims (e.g., “technical effect,” “optimization,” “inference”).
  • Input and Output Variables Used in the Computational Model Correlation Between Input and Desired Outcome: The specification must show how the input variables relate to the output, and explain the logic or reasoning behind their correlation. For instance, in a recommendation system, input variables might include user preferences, demographic data, and past behavior, while the output might be product recommendations. Specific Measurement Values: Where possible, provide actual numerical examples or ranges for the input variables and their corresponding output values. Example: If the model predicts house prices based on square footage, location, and number of rooms, provide sample inputs like “square footage = 1500,” “location = downtown,” and “number of rooms = 3,” and their corresponding output, such as “predicted price = $350,000.”
  • Computational Model Used to Process the Input and Derive the Output Architecture, Topology, and Class of the Model: Describe the type of neural network (e.g., convolutional neural networks, recurrent neural networks, feedforward networks, etc.), including the architecture of the network. Define the number of layers, types of neurons (nodes), and how these nodes are connected. Example: A CNN for image processing might have several convolutional layers followed by fully connected layers. Learning Methods Used: Specify the algorithm or approach used for training the model, such as gradient descent, backpropagation, or more sophisticated methods like reinforcement learning. Mathematical Modelling of Nodes: Explain the activation functions used at each node. Example: If using a ReLU activation function, explain how it processes input to output Fx(input_variable_value) = output_variable and how it is applied across the network.
  • Training of the Computational Model Specific Application Scenarios: Describe the particular applications for which the model is trained. For instance, if the AI-ML system is for autonomous vehicles, mention training scenarios like driving through different weather conditions, in urban or rural settings, or at night. Indication of the Training Method: Mention how the model is trained, including the training dataset used, the type of learning (supervised, unsupervised, etc.), and the optimization process. Source of Training Data: Clearly disclose the origin of the training data, whether it’s sourced from publicly available datasets, proprietary data collected from sensors, or simulations. Example: A self-driving car model might use publicly available road traffic datasets or proprietary data from a fleet of test vehicles. Strategy to Determine the Range of Variations in Input Variables: Describe how the range of possible input values is defined and how this variability is incorporated into the training process. Example: In an AI-ML model for speech recognition, input data might vary in terms of background noise, accents, and voice pitch, and the model should be trained to handle such variations effectively.
  • Existing Technologies used State and explain how the existing technologies are used in the system.

 

Software & Hardware Integration Software Components

  1. Software Components: Explain how the invention integrates with or builds on existing software systems (e.g., OS, databases, web services).
  2. Hardware Considerations: If relevant, specify how the invention interacts with or requires particular hardware components (e.g., processors, GPUs, IoT devices)
  3. Claim and Specific Considerations Ensure AI-specific claims address technical contributions (e.g., “a method for optimizing power consumption in a network using a machine learning model”). Claim Scope: Draft claims with sufficient breadth to cover variations but narrow enough to meet patentability standards. Evidence Requirements: The broader the claim, the more evidence will be required. For instance, if the patent claims a novel AI-ML approach for all types of medical image analysis, evidence will be needed across different datasets and types of medical conditions to show its general applicability. Focus on the core AI-driven novelty (e.g., the model, training method, or integration with other systems). Dependent Claims: Include variations or improvements of the AI-ML aspect (e.g., use of specific datasets, alternative architectures, or training methods).
  4. Alternative Embodiments Discuss alternative AI-ML models, training methods, or system configurations. Highlight diverse applications of the invention across industries or scenarios.
  5. Practical Applications, Use Cases and Advantages Real-World Applications: Describe where the invention can be used Specific Scenarios: Provide detailed examples of practical use cases for the invention in a commercial or industrial setting. Describe real-world problems the invention solves. Highlight improvements over prior art in terms of efficiency, accuracy, cost, etc.
  6. Evidence Regarding Plausibility of the Claimed Invention

 

Experimental Data and Test Results: Provide experimental results that show the performance of the model in practice, comparing it against benchmarks or existing solutions.

o Example: If the invention claims improved accuracy in detecting certain diseases from medical images, present test data showing the new model’s accuracy versus prior models.

·  Constraints Affecting Performance: Highlight any limitations or conditions that could affect the performance of the model.

o Example: Explain if the model’s accuracy decreases under certain conditions (e.g., low-resolution data, extreme weather, etc.).

 

  1. A Workable Example of the Application of the Invention

 

·  Input Variables: Clearly define the types of input variables that the AI-ML model will receive.

o Example: If the AI-ML is applied to self-driving cars, input variables might include sensor data, such as the vehicle’s speed, nearby obstacles, GPS location, etc.

·  Output Variables: Specify the results or predictions the AI-ML system is expected to produce.

o Example: In the self-driving car example, the output might be steering commands, acceleration, or deceleration decisions.

· Computational Model: Describe the underlying model that processes the input data to produce the output. This could involve machine learning techniques like deep learning, reinforcement learning, etc.

· Planned Goals and Technical Solution: Demonstrate how the AI-ML model achieves the claimed technical goals of the invention.

o Example: If the invention improves object detection in autonomous vehicles, show how the model significantly improves detection accuracy and processing speed compared to existing methods.

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A View from Afar

It is all in the prompts

In this article, we delve into the Beijing Internet Court’s nuanced analysis of “intellectual achievement” and “originality,” which is likely to open new avenues for IP protection in the realm of generative AI in China. Additionally, we explore its broad impact with respect to the protection of AI-generated works as copyrights in different jurisdictions around the world.

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IP Litigation

"Lights, Camera, Drama: Nayanthara vs. Dhanush - Behind the Scenes Battle Shakes Kollywood!"

Recently, two titans of Tamil cinema, Nayanthara and Dhanush, set the internet ablaze with a fiery clash that straddled both legal and moral arenas—copyright disputes in the court of law and personal grievances in the court of public opinion.

Background Story

A documentary titled “Nayanthara: Beyond the Fairytale”, based on the life of actress Nayanthara and the ups and downs she has faced in the cinema industry and her personal life, was released on November 18, 2024, on Netflix. In Nayanthara’s career, a film titled “Naanum Rowdy Dhaan”, produced by Dhanush, played a pivotal role for which she received various laurels and awards. However, the film led to tensions between Nayanthara and Dhanush, drifting their relationship apart.

Legal Conflict

In the said documentary, a clipping is used of behind-the-scenes footage from the film “Naanum Rowdy Dhaan”, wherein Nayanthara is seen talking to the director of the film, Vignesh Shivan, who is now her husband. As this clipping was used in the documentary without the permission of the film’s producer, Dhanush, the battle began. Earlier, Dhanush had sent a legal notice to Nayanthara demanding the removal of the disputed content within 24 hours, failing which legal action seeking damages of ₹10 crores would be initiated. Dhanush has now filed a suit for copyright infringement against the actress Nayanthara and others before the Madras High Court.

Copyright Laws and Public Reactions

Under the Copyright Act, 1957, the use of any content without the permission of the owner of its copyrights amounts to infringement. Accordingly, the use of the clipping without the producer’s consent—the author and owner of a cinematograph film—prima facie appears to be an act of copyright infringement.

However, Nayanthara expressed her disappointment on social media through a long post, wherein she detailed the various attempts made by the team of the documentary to obtain necessary permissions from Dhanush, to which no reply was received. She further mentioned that the said clipping is only three seconds long and features her with her husband, who has a vital role in her life.

Although, in the court of public opinion, the unauthorized use may be viewed as a compoundable offence, in the court of law, the unauthorized use of a clipping—even of a few seconds used for reference purposes while a narrator talks over them—does not amount to fair use, as the purpose of the use is of a commercial nature.

Broader Implications

This dispute highlights the classic case of the intersection between personal relations and professional collaborations. It underscores the importance of clear agreements regarding the use of film footage and the potential legal ramifications of unauthorized usage. The situation also reflects the challenges artists face in balancing personal narratives with legal constraints in their creative endeavors.

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IP Litigation

The Innovation of Emojis: From Pictograms to a Universal Language

From their demure beginnings as 12×12-pixel icons to their current role as a universal visual language, emojis have transformed digital communication. What began as a solution to convey emotions in text messages has grown into a phenomenon that transcends barriers of text, culture, and geography. Let us explore the milestones and innovations that brought emojis from niche use to global ubiquity.

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The Origins: From Ancient Pictograms to Japan’s Innovation-1999

The story of emojis began with the ancient use of pictograms and ideograms, such as Egyptian hieroglyphs and Sumerian cuneiform, where symbols were employed to convey meaning visually. These early tools of communication set the foundation for the expressive digital symbols we know today.

Fast forward to 1999, when Japanese designer Shigetaka Kurita developed the first set of 176 emojis- a portmanteau of the Japanese words, 絵 (“e,” picture), 文 (“mo,” write) and 字 (“ji,” character). Japanese characters, or “kanji,” are largely based on Chinese ideograms, meaning the language’s writing system is already highly pictorial. He developed the first set of emojis for NTT Docomo, a Japanese mobile carrier. These early emojis were simple, 12 x 12-pixel images, designed to address two issues; i) how to infuse emotion and context into text-based communication and ii) how to convey emotions and concepts in a limited character space on mobile devices. Inspired by manga, weather symbols, and everyday objects like a sun, a heart, and a slice of pizza, Kurita’s emojis were revolutionary for digital communication, providing users with a way to express emotions visually in otherwise plain text. They quickly became popular in Japan, thereby setting the stage for emojis’ worldwide success.

(One of Kurita’s original sketches for the original emoji set)

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Standardization: A Global Necessity- 2007

In the early 2000s, emojis were largely confined to Japan, with different telecom carriers using their own sets. This lack of standardization caused compatibility issues, as the same emojis could appear differently or not at all on various devices. The turning point came in 2007, when Google proposed adding emojis to Unicode, the universal character encoding standard. The adoption of emojis into the Unicode Standard in 2010 marked a turning point. Unicode, which ensures text consistency across devices and platforms, enabled emojis to become a global phenomenon. Which was immediately followed by Apple’s integration of an emoji keyboard in iOS in 2011, that ensured their seamless use across platforms.

This period also saw an evolution in emoji design. From the original pixelated symbols, emojis transformed into detailed, colourful, and universally appealing icons. Apple and other technology giants expanded emoji libraries to include diverse expressions, professions, and cultures, reflecting the growing importance of inclusivity in digital communication.

Emojis and their Cultural Impact- 2015

By 2015, emojis had evolved beyond simple pictograms to become more sophisticated. The introduction of skin tone modifiers allowed users to choose emojis that better represented their racial identity. Further, the inclusion of gender-neutral emojis, same-sex couples, and symbols representing various cultures and traditions further demonstrated how emojis were evolving as tools for inclusivity and representation. Their influence also extended into professional and social spheres. Emojis are now common in workplace communications, helping to soften tone or add clarity to digital messages.

Emojis are not just practical tools for communication but also cultural artifacts. The Oxford Dictionary’s 2015 “Word of the Year” was not a word but the “😂/Face with Tears of Joy” emoji, illustrating the pervasive influence of emojis in modern culture. They have been integrated into marketing campaigns, art, and even movies, such as The Emoji Movie, showcasing their versatility as both communicative and creative tools.

Emojis in the Digital Age: From Expression to Marketing

In today’s digital landscape, emojis play a critical role in humanizing technology-driven interactions. They add emotional nuance to text messages, emails, and social media posts, bridging the gap between written communication and human emotion. Studies suggest that using emojis in digital communication can enhance engagement and help convey a tone more effectively than plain text.

Brands have also capitalized on the popularity of emojis. From Domino’s “emoji pizza ordering” system to Pepsi’s emoji-themed bottles, companies use emojis to connect with younger audiences and create relatable marketing campaigns. The versatility of emojis allows them to be adapted across various mediums, making them powerful tools for storytelling and branding.

Challenges and Miscommunications

As with any form of communication, emojis are not without their complications. Their meaning can shift depending on context, audience, or platform design. Critics argue that emojis, while expressive, can sometimes oversimplify communication, leading to misinterpretation. For example, a simple “👍/thumbs up” emoji might be seen as positive in one culture but dismissive in another. Similarly, the “🙏 /folded hands emoji” interpreted by some as a prayer gesture, is more commonly used in Japan to express gratitude or an apology. The Unicode Consortium, which governs emoji additions, also faces challenges in balancing the inclusion of new emojis with maintaining a manageable and universally understood system.

Looking ahead, the future of emojis lies in their ability to adapt to emerging technologies. Animated emojis, Augmented Reality (AR) emojis, and customizable avatars are already making waves. As artificial intelligence continues to advance, we may see emojis that adapt dynamically to the context of conversations, further blurring the lines between text and emotion.

From Shigetaka Kurita’s 12×12-pixel designs to almost 3790 of emojis available today, the journey of emojis is a demonstration of humanity’s enduring desire for connection and expression. They have transformed how we communicate, adding depth, personality, and emotion to the digital world. As we look to the future, emojis will continue to evolve, bridging the past and the present while shaping the future of global communication.

Emojis are more than just symbols; they are a celebration of the human experience, proving that even in a world dominated by text, a picture can indeed be worth a thousand words.

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Monthly newsletter By R K Dewan & Co.

Unsung Heroes

Shirish Apte : The Lone Crusader of Water Conservation

Unsung heroes, often hidden in the shadows of the spotlight, are individuals whose remarkable contributions and selfless actions shape the world without seeking recognition. While the world celebrates prominent figures, it is the unsung heroes who quietly work behind the scenes, driving change, progress, and compassion. These unheralded champions emerge in various walks of life, from local communities to global stages, leaving an indelible mark on society. Their stories inspire us to appreciate the power of humility and the profound impact that individuals can have on the world, regardless of the recognition they receive. In this series of articles, we will be sharing stories of such unsung heroes of India.

In the state of Maharashtra, India, there is a remarkable story of a man who has dedicated his life to rejuvenating a traditional water system that had been left to die for centuries. Shirish Apte, an Executive Engineer of Minor Irrigation division of Bhandara, has been instrumental in restoring the Malguzari tanks, which were once the lifelines of villages in eastern Vidarbha.

The Malguzari tanks were built by the Malguzaars, who were the local landlords or zamindars, over three centuries ago. These tanks were designed to harvest water for irrigation and local consumption, and were maintained by the Malguzaars. However, after the abolition of the zamindari system in the 1950s, the state government took over the tanks and began to collect water tax from the farmers who used the water for irrigation. This led to a dispute between the Malguzaars and the state government, and the tanks were left to die.

The dispute between the Malguzaars and the state government eventually reached the Supreme Court of India. In a landmark judgment, the Supreme Court ruled that the Malguzari tanks were indeed the property of the Malguzaars, but did not lay down conditions for who should maintain them. This led to a further deterioration of the tanks, as neither the Malguzaars nor the state government took responsibility for their maintenance.

 

A Lone Crusader

Shirish Apte, who belongs to a Malguzaar family, was determined to revive the traditional water system. He had always been interested in water conservation and was passionate about helping his community solve the ever-persistent water crisis. In 2008, he began the restoration of the Janbhora Malguzari tank, which was located 35 kilometers away from Bhandara. The first step was to de-silt the tank, which was a massive task that required the community to come together and work tirelessly.

 

A Success Story

The restoration of the Janbhora Malguzari tank was a huge success, and it has led to the recharge of groundwater levels. The positive results of this project have encouraged the state government to restore 22 more Malguzari tanks. The prosperity of the villages has returned, and the community is once again self-sufficient.

Shirish Apte’s work has shown that water conservation doesn’t have to be done through conventional methods such as building dams. His persistence and community efforts have brought back traditional prosperity to his village, and can restore Indian villages back to their glory. His approach to water conservation is a shining example of how small, community-led initiatives can make a big difference in the lives of people.

 

A Lesson in Community-Led Development

The restoration of the Malguzari tanks is an ode to the power of community-led development. Shirish Apte’s work has shown that when communities come together to address a common problem, they can achieve remarkable results. His approach to water conservation is a lesson in community-led development, and it can be replicated in other parts of the country.

Shirish Apte’s work is a tribute to the unsung heroes of water conservation. His dedication, persistence, and community spirit have made a significant impact on the lives of people in eastern Vidarbha. His work is a reminder that even small actions can make a big difference in the lives of people, and that community-led development is the key to sustainable development.

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