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Introduction

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In real-time warfare scenarios of this modern age, where actions occur without delay, the relevance of edge computing emerges as paramount. By processing data close to the source in the battlefield with the help of a drone or through video imaging from any military vehicle or aircraft, the concept of edge computing allows the military to point targets faster and strike with accuracy. It also enables local processing to relay central data, helping ground troops get intelligence inputs to act rapidly in critical mission scenarios.  

As the global security landscape experiences a significant transformation in different corners of the world, it presents unprecedented challenges in the present scenario. In this article, we will try to understand how countries can maintain their military capabilities with the help of advanced technologies like edge computing. 

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Edge Computing in Modern Warfare

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Edge computing involves the processing and storage of data at the point of collection on the battlefield, for example, through vehicles and drones, instead of relying on centralized data centers. This enables faster decision-making in real-time. This approach creates a resilient and secure network by reducing reliance on potentially compromised external connections, supporting autonomous systems, precision-based targeting, and data sharing among military personnel, drones, and command centers amidst a challenging environment.

A report released by the US Department of Defence in March 2025 found a crucial reality surrounding the operation of hardware relying on outdated industrial-age processes in the digital era. In the case of applications with video, edge computing helps to deliver significant advantages to a wide range of crucial military operations, which include: 

• Situational awareness with real-time data processing that provides improved battlefield visibility and proper threat detection. 
• Autonomous warfare systems such as drones, which use a tactical edge cloud computing to get the capability to navigate faster. 
• Developing a strong communication and networking capability to secure low-latency communication for troops to stay connected in challenging environments. 
• Ensuring predictive maintenance with the help of effective sensors to carry out edge detection and attrition at an early point, thereby reducing equipment failures. 
• Developing effective targeting and weapons systems to ensure faster processing to enable precision-based targeting and response, besides a strong logistics and supply chain that can provide real-time tracking to improve delivery accuracy and resource management. 

This report also highlighted that the DoD is rapidly updating its software and investing in AI enablers like data sets or MLOps tools. This also stresses the breaking down of integration barriers by enforcing MOSA (Modular Open Systems Approaches), APIs (Application Programming Interface), and modular interfaces to ensure interoperability across platforms, sensors, and networks to make software-defined warfare an effective strategy.  

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Developing Edge with Artificial Intelligence for Future Warfare

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A significant insight from the work of the US Department of Defense is its emphasis on the importance of edge computing in shaping the future of warfare. In that context, the Annual Threat Assessment Report highlights a key limitation of traditional AI strategies that rely on centralised cloud computing, since these might not be suitable for modern battlefields with congested networks and limited bandwidth. The need for real-time data processing requires a distributed and edge-based AI solution to address contemporary threats. This report also directly supports the deployment of effective edge with AI in a defined, disrupted, intermittent, and limited-bandwidth (DDIL) environment. In that case, when the communication networks fail, the edge servers at the edge of the network offer crucial advantages that cloud-dependent systems cannot. This ability to analyse data and make decisions without consistent connectivity and operate with limited computational resources is a strategic necessity. 

The scenario of warfare is a phenomenon that requires maintaining a strong strategic and tactical approach, which, in the present times, is being examined through the domain of digital platforms. Modern warfare patterns demand faster decision-making and edge computing deliveries by shifting the power of distant servers to the frontlines. The US military is already moving in the direction of deploying edge-enabled systems to prove the nature of sensors and networks to compute at the tactical edge to transform warfighting.

However, it can be understood with the help of an example, as creating fusion in the skies with F-35s. As they have showcased the capability of edge computing by fusing sensor data with MADL (Multi-Functional Advanced Data Link) to create a unified picture, making the squadrons a force multiplier. An example of this was visible when an F-35 relayed real-time tracking data, enabling a navy ship to neutralise a missile beyond its range.

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Conclusion: The Way Ahead 

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As the changing nature of warfare moves towards adopting software-defined systems, where edge computing thrives as a futuristic military technology, it calls for the need for integration across all domains of warfighting. But at the same time, several imperatives do emerge, such as: 

• Developing an open architecture that enables both flexibility and innovation. 
• Ensuring an effective connectivity that actually combines a confluence of legacy systems. 
• Developing interoperability among the systems that can function in synergy with all platforms and can function across all domains. 
• Prioritising edge-native AI development systems, where it is also necessary to ensure the shift to adopting cloud-based AI models to create solutions optimised from the ground up for edge deployment. 
• Investing in edge infrastructure to establish a robust edge computing infrastructure that enables rapid deployment by testing and updating AI capabilities across diverse hardware platforms. Like the way the military training academies in India are developing training infrastructures for training officer cadets or personnel to handle drones and all forms of advanced warfare tactics emerging in this age. 
• Fostering talent and expertise by embracing commercial solutions where software talent could be enabled across the enterprises with expertise in edge computing capabilities and AI. In this case, the role of the commercial sector can help to drive innovations in edge AI, and the only way to move in this direction is by leveraging these advances through partnerships and collaborative efforts. 

Taking the example of the ARPANET, which once seeded the modern internet, edge computing can also help to create a transformative network effect within the digital battlespace. In conclusion, future conflicts will be defined by the speed and accuracy provided by the edge, as nations integrating AI and robust edge infrastructures can hold a strong advantage in the multi-domain battlefields in the future.

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References 

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• https://www.idsa.in/mpidsanews/rk-narangs-article-what-the-regions-first-drone-warfare-taught-us-published-in-the-new-indian-express
• https://latentai.com/blog/software-defined-warfare-why-edge-ai-is-critical-to-americas-defense-future/
• https://www.boozallen.com/s/insight/blog/how-the-us-military-is-using-edge-computing.html
• https://capsindia.org/wp-content/uploads/2022/08/RK-Narang-3.pdf
• https://www.newindianexpress.com/opinions/2025/May/12/what-the-regions-first-drone-warfare-taught-us
• https://www.maris-tech.com/blog/edge-computing-in-the-military-challenges-and-solutions/#:~:text=In%20modern%20warfare%2C%20decisions%20need,enables%20precision%20targeting%20and%20response ‍
• https://cassindia.com/digital-soldiers/

Introduction

The mysteries of the universe have been a subject of curiosity for humans over thousands of years. To solve these unfolding mysteries of the universe, astrophysicists are always busy, and with the growing technology this seems to be achievable. Recently, with the help of Artificial Intelligence (AI), scientists have discovered the depths of the cosmos. AI has revealed the secret equation that properly “weighs” galaxy clusters. This groundbreaking discovery not only sheds light on the formation and behavior of these clusters but also marks a turning point in the investigation and discoveries of new cosmos. Scientists and AI have collaborated to uncover an astounding 430,000 galaxies strewn throughout the cosmos. The large haul includes 30,000 ring galaxies, which are considered the most unusual of all galaxy forms. The discoveries are the first outcomes of the "GALAXY CRUISE" citizen science initiative. They were given by 10,000 volunteers who sifted through data from the Subaru Telescope. After training the AI on 20,000 human-classified galaxies, scientists released it loose on 700,000 galaxies from the Subaru data. 

Brief Analysis

A group of astronomers from the National Astronomical Observatory of Japan (NAOJ) have successfully applied AI to ultra-wide field-of-view images captured by the Subaru Telescope. The researchers achieved a high accuracy rate in finding and classifying spiral galaxies, with the technique being used alongside citizen science for future discoveries.

Astronomers are increasingly using AI to analyse and clean raw astronomical images for scientific research. This involves feeding photos of galaxies into neural network algorithms, which can identify patterns in real data more quickly and less prone to error than manual classification. These networks have numerous interconnected nodes and can recognise patterns, with algorithms now 98% accurate in categorising galaxies.

Another application of AI is to explore the nature of the universe, particularly dark matter and dark energy, which make up over 95% energy of the universe. The quantity and changes in these elements have significant implications for everything from galaxy arrangement.

AI is capable of analysing massive amounts of data, as training data for dark matter and energy comes from complex computer simulations. The neural network is fed these findings to learn about the changing parameters of the universe, allowing cosmologists to target the network towards actual data.

These methods are becoming increasingly important as astronomical observatories generate enormous amounts of data. High-resolution photographs of the sky will be produced from over 60 petabytes of raw data by the Vera C. AI-assisted computers are being utilized for this.

Data annotation techniques for training neural networks include simple tagging and more advanced types like image classification, which classify an image to understand it as a whole. More advanced data annotation methods, such as semantic segmentation, involve grouping an image into clusters and giving each cluster a label.

This way, AI is being used for space exploration and is becoming a crucial tool. It also enables the processing and analysis of vast amounts of data. This advanced technology is fostering the understanding of the universe. However, clear policy guidelines and ethical use of technology should be prioritized while harnessing the true potential of contemporary technology. 

Policy Recommendation

• Real-Time Data Sharing and Collaboration - Effective policies and frameworks should be established to promote real-time data sharing among astronomers, AI developers and research institutes. Open access to astronomical data should be encouraged to facilitate better innovation and bolster the application of AI in space exploration. 
  

• Ethical AI Use - Proper guidelines and a well-structured ethical framework can facilitate judicious AI use in space exploration. The framework can play a critical role in addressing AI issues pertaining to data privacy, AI Algorithm bias and transparent decision-making processes involving AI-based tech. 
• Investing in Research and Development (R&D) in the AI sector - Government and corporate giants should prioritise this opportunity to capitalise on the avenue of AI R&D in the field of space tech and exploration. Such as funding initiatives focusing on developing AI algorithms coded for processing astronomical data, optimising telescope operations and detecting celestial bodies.
• Citizen Science and Public Engagement - Promotion of citizen science initiatives can allow better leverage of AI tools to involve the public in astronomical research. Prominent examples include the SETI @ Home program (Search for Extraterrestrial Intelligence), encouraging better outreach to educate and engage citizens in AI-enabled discovery programs such as the identification of exoplanets, classification of galaxies and discovery of life beyond earth through detecting anomalies in radio waves. 
• Education and Training - Training programs should be implemented to educate astronomers in AI techniques and the intricacies of data science. There is a need to foster collaboration between AI experts, data scientists and astronomers to harness the full potential of AI in space exploration. 
• Bolster Computing Infrastructure - Authorities should ensure proper computing infrastructure should be implemented to facilitate better application of AI in astronomy. This further calls for greater investment in high-performance computing devices and structures to process large amounts of data and AI modelling to analyze astronomical data. 

Conclusion

AI has seen an expansive growth in the field of space exploration. As seen, its multifaceted use cases include discovering new galaxies and classifying celestial objects by analyzing the changing parameters of outer space. Nevertheless, to fully harness its potential, robust policy and regulatory initiatives are required to bolster real-time data sharing not just within the scientific community but also between nations. Policy considerations such as investment in research, promoting citizen scientific initiatives and ensuring education and funding for astronomers. A critical aspect is improving key computing infrastructure, which is crucial for processing the vast amount of data generated by astronomical observatories. 

References

• https://mindy-support.com/news-post/astronomers-are-using-ai-to-make-discoveries/
• https://www.space.com/citizen-scientists-artificial-intelligence-galaxy-discovery
• https://www.sciencedaily.com/releases/2024/03/240325114118.htm
• https://phys.org/news/2023-03-artificial-intelligence-secret-equation-galaxy.html
• https://www.space.com/astronomy-research-ai-future

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Introduction

The hospitality industry is noted to be one of the industries most influenced by technology. Hotels, restaurants, and travel services are increasingly reliant on digital technologies to automate core operations and customer interactions. The shift to electronic modes of conducting business has made the industry a popular target for cyber threats. In light of increasing cyber threats, safeguarding personal and sensitive personal data on the part of the hospitality industry becomes significant not only from a customer standpoint but also from an organisational and legal perspective.

Role of cybersecurity in the hospitality industry

A hospitality industry-based entity (“HI entity”) deploys several technologies not only to automate operations but to also deliver excellent customer experiences. Technologies such as IoTs that enable smart controls in rooms, Point-of-Sale systems that manage reservations, Call Accounting Systems that track and record customer calls, keyless entry systems, and mobile apps that facilitate easy booking and service requests are popularly used in addition to operative technologies such as Property Management Systems, Hotel Accounting Systems, Local Area Networks (LAN).{1} These technologies collect vast volumes of data daily due to the nature of operations. Such data necessarily includes personal information such as names, addresses, phone numbers, email IDs etc. and sensitive information such as gender, bank account and payment details, health information pertaining to food allergens etc. Resultantly, the breach and loss of such critical data impacts customer trust and loyalty and in turn, their retention within the business. Lack of adequate cybersecurity measures also impacts the reputation and goodwill of an HI entity since customers are more likely to opt for establishments that prioritise the protection of their data. In 2022, cybercriminals syphoned 20GB of internal documents and customer data from Marriott Hotels, which included credit card information and staff information such as wage data, corporate card number and even a personnel assessment file. A much larger breach was seen in 2018, where 383 million booking records and 5.3 million unencrypted passport numbers were stolen from Marriott’s servers.{2}

Cybersecurity is also central to safeguarding trade secrets and key confidential trade information. An estimate of US $6 trillion per year on average amounts to losses generated from cybercrimes.{3} The figure, however, does not include the cost of breach, expenses related to incident response, legal fees, regulatory fines etc which may be significantly higher for a HI entity when loss of potential profits is factored in.

Cybersecurity is also central from a legal standpoint. Legal provisions in various jurisdictions mandate the protection of guest data. In India, the Digital Personal Data Protection Act 2023, imposes a penalty of up to Rs. 50 Crores on a breach in observing obligations to take reasonable security safeguards to prevent personal data breach.{4} Similarly, the General Data Protection Regulation (GDPR) of the European Union also has guidelines for protecting personal data. Several other industry-specific rules, such as those pertaining to consumer protection,  may also be applicable.

Breaches and Mitigation

There are several kinds of cyber security threats faced by an HI entity. “Fake Booking” is a popular method of cyber attack, whereby attackers build and design a website that is modelled exactly after the hotel’s legitimate website. Many customers end up using such malicious phishing websites thereby exposing their personal and sensitive personal data to threats. Additionally, the provision of free wifi within hotel premises, usually accessible freely to the public, implies that a malicious actor may introduce viruses and updates bearing malware. Other common cyber threats include denial of service (DoS) attacks, supply chain attacks, ransomware threats, SQL injection attacks (a type of attack where malicious code is inserted into a database to manipulate data and gain access to information), buffer overflow or buffer overrun (when the amount of data exceeds its storage capacity, implying that the excess data overflows into other memory locations and corrupt or overwrites data in those locations). 

One of the best ways to manage data breaches is to leverage newer technologies that operate on a “privacy by design” model. An HI entity must deploy web application firewalls (WAF) that differ from regular firewalls since they can filter the content of specific web applications and prevent cyber attacks. Another method to safeguard data is by deploying a digital certificate which binds a message/instruction to the owner/generator of the message. This is useful in preventing any false claims fraud by customers. Digital certificates may be deployed on distributed ledger technologies such as blockchain, that are noted for their immutability, transparency and security. Self-sovereign identities or Identifiers (SSI) are also a security use-concept of blockchain whereby individuals own and control their personal data, thereby eliminating reliance on central authorities.{5} In the hospitality industry, SSIs enhance cybersecurity by securely storing identity-related information on a decentralised network, thereby reducing the risk of data breaches. Users can selectively share their information, ensuring privacy and minimising data exposure. This approach not only protects guests' personal details but also streamlines authentication processes, making interactions safer and more efficient.

From a less technical standpoint, cybersecurity insurance may be opted for by a hotel to secure themselves and customer information against breach. Through such insurance, a hotel may cover the liability that arises from breaches caused by both first- and third-party actions.{6} Additionally, Payment Cards Industry Data Security Standards should be adhered to, since these standards ensure that businesses should apply best practices when processing credit card data through optimised security. Employee training and upskilling in basic, practical cybersecurity measures and good practices is also a critical component of a comprehensive cybersecurity strategy.

References:

• [1]  The Growing Importance of Cybersecurity in the Hospitality Industry”, Alfatec, 11 September 2023 https://www.alfatec.ai/academy/resource-library/the-growing-importance-of-cybersecurity-in-the-hospitality-industry
• [2]  Vigliarolo, Brandon, “Marriott Hotels admit to third data breach in 4 years”, 6 July 2022 https://www.theregister.com/2022/07/06/marriott_hotels_suffer_yet_another/#:~:text=In%20the%20case%20of%20the,of%20an%20individual%20organization%20ever. 

• [3] Shabani, Neda & Munir, Arslan. (2020). A Review of Cyber Security Issues in the Hospitality Industry. 10.1007/978-3-030-52243-8_35. https://www.researchgate.net/publication/342683038_A_Review_of_Cyber_Security_Issues_in_Hospitality_Industry/citation/download    
• [4] The Digital Personal Data Protection Act 2023 https://www.meity.gov.in/writereaddata/files/Digital%20Personal%20Data%20Protection%20Act%202023.pdf 
• [5]  “What is self-sovereign identity?”, Sovrin, 6 December 2018 https://sovrin.org/faq/what-is-self-sovereign-identity/ 
• [6] Yasar, Kinza, “Cyber Insurance”, Tech Target https://www.techtarget.com/searchsecurity/definition/cybersecurity-insurance-cybersecurity-liability-insurance