#FactCheck - Stunning 'Mount Kailash' Video Exposed as AI-Generated Illusion!

Introduction

Microsoft has unveiled its ambitious roadmap for developing a quantum supercomputer with AI features, acknowledging the transformative power of quantum computing in solving complex societal challenges. Quantum computing has the potential to revolutionise AI by enhancing its capabilities and enabling breakthroughs in different fields. Microsoft’s groundbreaking announcement of its plans to develop a quantum supercomputer, its potential applications, and the implications for the future of artificial intelligence (AI). However, there is a need for regulation in the realms of quantum computing and AI and significant policies and considerations associated with these transformative technologies. This technological advancement will help in the successful development and deployment of quantum computing, along with the potential benefits and challenges associated with its implementation.

What isQuantum computing?

Quantum computing is an emerging field of computer science and technology that utilises principles from quantum mechanics to perform complex calculations and solve certain types of problems more efficiently than classical computers. While classical computers store and process information using bits, quantum computers use quantum bits or qubits.

‍Interconnected Future  

Quantum computing promises to significantly expand AI’s capabilities beyond its current limitations. Integrating these two technologies could lead to profound advancements in various sectors, including healthcare, finance, and cybersecurity. Quantum computing and artificial intelligence (AI) are two rapidly evolving fields that have the potential to revolutionise technology and reshape various industries. This section explores the interdependence of quantum computing and AI, highlighting how integrating these two technologies could lead to profound advancements across sectors such as healthcare, finance, and cybersecurity.

1. Enhancing AI Capabilities:

Quantum computing holds the promise of significantly expanding the capabilities of AI systems. Traditional computers, based on classical physics and binary logic, need help solving complex problems due to the exponential growth of computational requirements. Quantum computing, on the other hand, leverages the principles of quantum mechanics to perform computations on quantum bits or qubits, which can exist in multiple states simultaneously. This inherent parallelism and superposition property of qubits could potentially accelerate AI algorithms and enable more efficient processing of vast amounts of data.

1. Solving Complex Problems:

The integration of quantum computing and AI has the potential to tackle complex problems that are currently beyond the reach of classical computing methods. Quantum machine learning algorithms, for example, could leverage quantum superposition and entanglement to analyse and classify large datasets more effectively. This could have significant applications in healthcare, where AI-powered quantum systems could aid in drug discovery, disease diagnosis, and personalised medicine by processing vast amounts of genomic and clinical data.

1. Advancements in Finance and Optimisation:

The financial sector can benefit significantly from integrating quantum computing and AI. Quantum algorithms can be employed to optimise portfolios, improve risk analysis models, and enhance trading strategies. By harnessing the power of quantum machine learning, financial institutions can make more accurate predictions and informed decisions, leading to increased efficiency and reduced risks.

1. Strengthening Cybersecurity:

Quantum computing can also play a pivotal role in bolstering cybersecurity defences. Quantum techniques can be employed to develop new cryptographic protocols that are resistant to quantum attacks. In conjunction with quantum computing, AI can further enhance cybersecurity by analysing massive amounts of network traffic and identifying potential vulnerabilities or anomalies in real time, enabling proactive threat mitigation.

1. Quantum-Inspired AI:

Beyond the direct integration of quantum computing and AI, quantum-inspired algorithms are also being explored. These algorithms, designed to run on classical computers, draw inspiration from quantum principles and can improve performance in specific AI tasks. Quantum-inspired optimisation algorithms, for instance, can help solve complex optimisation problems more efficiently, enabling better resource allocation, supply chain management, and scheduling in various industries.

How Quantum Computing and AI Should be Regulated-

As quantum computing and artificial intelligence (AI) continues to advance, questions arise regarding the need for regulations to govern these technologies. There is debate surrounding the regulation of quantum computing and AI, considering the potential risks, ethical implications, and the balance between innovation and societal protection.

1. Assessing Potential Risks: Quantum computing and AI bring unprecedented capabilities that can significantly impact various aspects of society. However, they also pose potential risks, such as unintended consequences, privacy breaches, and algorithmic biases. Regulation can help identify and mitigate these risks, ensuring these technologies’ responsible development and deployment.
2. Ethical Implications: AI and quantum computing raise ethical concerns related to privacy, bias, accountability, and the impact on human autonomy. For AI, issues such as algorithmic fairness, transparency, and decision-making accountability must be addressed. Quantum computing, with its potential to break current encryption methods, requires regulatory measures to protect sensitive information. Ethical guidelines and regulations can provide a framework to address these concerns and promote responsible innovation.
3. Balancing Innovation and Regulation: Regulating quantum computing and AI involves balancing fostering innovation and protecting society’s interests. Excessive regulation could stifle technological advancements, hinder research, and impede economic growth. On the other hand, a lack of regulation may lead to the proliferation of unsafe or unethical applications. A thoughtful and adaptive regulatory approach is necessary, considering the dynamic nature of these technologies and allowing for iterative improvements based on evolving understanding and risks.
4. International Collaboration: Given the global nature of quantum computing and AI, international collaboration in regulation is essential. Harmonising regulatory frameworks can avoid fragmented approaches, ensure consistency, and facilitate ethical and responsible practices across borders. Collaborative efforts can also address data privacy, security, and cross-border data flow challenges, enabling a more unified and cooperative approach towards regulation.
5. Regulatory Strategies: Regulatory strategies for quantum computing and AI should adopt a multidisciplinary approach involving stakeholders from academia, industry, policymakers, and the public. Key considerations include:

1. Risk-based Approach: Regulations should focus on high-risk applications while allowing low-risk experimentation and development space.
2. Transparency and Explainability: AI systems should be transparent and explainable to enable accountability and address concerns about bias, discrimination, and decision-making processes.
3. Privacy Protection: Regulations should safeguard individual privacy rights, especially in quantum computing, where current encryption methods may be vulnerable.
4. Testing and Certification: Establishing standards for the testing and certification of AI systems can ensure their reliability, safety, and adherence to ethical principles.
5. Continuous Monitoring and Adaptation: Regulatory frameworks should be dynamic, regularly reviewed, and adapted to keep pace with the evolving landscape of quantum computing and AI.

Conclusion:

‍Integrating quantum computing and AI holds immense potential for advancing technology across diverse domains. Quantum computing can enhance the capabilities of AI systems, enabling the solution of complex problems, accelerating data processing, and revolutionising industries such as healthcare, finance, and cybersecurity. As research and development in these fields progress, collaborative efforts among researchers, industry experts, and policymakers will be crucial in harnessing the synergies between quantum computing and AI to drive innovation and shape a transformative future.The regulation of quantum computing and AI is a complex and ongoing discussion. Striking the right balance between fostering innovation, protecting societal interests, and addressing ethical concerns is crucial. A collaborative, multidisciplinary approach to regulation, considering international cooperation, risk assessment, transparency, privacy protection, and continuous monitoring, is necessary to ensure these transformative technologies' responsible development and deployment.

Introduction

The Indian healthcare sector has been transforming remarkably. This is mainly due to the development of emerging technologies such as AI and IoT. The rapid adoption of technology in healthcare delivery such as AI and IoT integration along with telemedicine, digital health solutions, and Electronic Medical Records (EMR) have enhanced the efficacy of hospitals, driving growth. The integration of AI and IoT devices in healthcare can improve patient care, health record management, and telemedicine and reshape the medical landscape as we know it. However, their implementation must be safe, with robust security and ethical safeguards in place.

The Transformative Power of AI and IoT in Revolutionising Healthcare

IoT devices for healthcare such as smartwatches, wearable patches, and ingestive sensors are equipped with sensors. These devices take physiological parameters in real-time, including heart rate, blood pressure, glucose level, etc. This can be forwarded automatically from these wearables to healthcare providers and EHR systems. Real-time patient health data enable doctors to monitor progress and intervene when needed. 

The sheer volume of data generated by IoT healthcare devices opens avenues for applying AI. AI and ML algorithms can analyse patient data for patterns that further provide diagnostic clues and predict adverse events before they occur. A combination of AI and IoT opens avenues for proactive and personalised medicine tailored to specific patient profiles. This amalgamation can be a bridge between healthcare accessibility and quality. And, especially in rural and underserved areas, it can help receive timely and effective medical consultations, significantly improving healthcare outcomes. Moreover, the integration of AI-powered chatbots and virtual health assistants is enhancing patient engagement by providing instant medical advice and appointment scheduling. 

CyberPeace Takeaway, the Challenges and the Way Forward 

Some of the main challenges associated with integrating AI and IoT in healthcare include cybersecurity due to data privacy concerns, lack of interoperability, and skill gaps in implementation. Addressing these requires enhanced measures or specific policies, such as:

• Promoting collaborations among governments, regulators, industry, and academia to foster a healthcare innovation ecosystem such as public-private partnerships and funding opportunities to drive collaborative advancements in the sector. Additionally, engaging in capacity-building programs to upskill professionals.
• Infrastructural development, including startup support for scalable AI and IoT solutions. Engaging in creating healthcare-specific cybersecurity enhancements to protect sensitive data. According to a 2024 report by Check Point Software Technologies, the Indian healthcare sector has experienced an average of 6,935 cyberattacks per week, compared to 1,821 attacks per organisation globally in 2024. 

Conclusion 

The Deloitte survey highlights that on average hospitals spend 8–10% of their IT budget on cybersecurity techniques, such as hiring professionals and acquiring tools to minimise cyber-attacks to the maximum extent. Additionally, this spending is likely to increase to 12-15 % in the next two years moving towards proactive measures for cybersecurity. 

The policy frameworks and initiatives are also carried out by the government. One of the Indian government's ways of driving innovation in AI and IoT in healthcare is through initiatives under the National Digital Health Mission (NDHM), the National Health Policy and the Digital India Initiative.

Though the challenges presented by data privacy and cyber security persist, the strong policies, public-private collaborations, capacity-building initiatives and the evolving startup ecosystem carry AI and IoT’s potential forward from the thoughtful merging of innovative health technologies, delivery models, and analytics. If the integration complexities are creatively tackled, these could profoundly improve patient outcomes while bending the healthcare cost curve. 

References

• https://www.ndtv.com/business-news/indian-healthcare-sector-faced-6-935-cyberattacks-per-week-in-last-6-months-report-5989240 
• https://www.businesstoday.in/technology/news/story/meity-nasscom-coe-collaborates-with-start-ups-to-enhance-healthcare-with-ai-iot-458739-2024-12-27 
• https://www2.deloitte.com/content/dam/Deloitte/in/Documents/risk/in-ra-deloitte-dsci-hospital-report-noexp.pdf ‍
• https://medium.com/@shibilahammad/the-transformative-potential-of-iot-and-ai-in-healthcare-78a8c7b4eca1

Introduction

With the ever-growing technology where cyber-crimes are increasing, a new cyber-attack is on the rise, but it’s not in your inbox or your computer- it's targeting your phone, especially your smartphone. Cybercriminals are expanding their reach in India, with a new text-messaging fraud targeting individuals. The Indian Computer Emergency Response Team (CERT-In) has warned against "smishing," or SMS phishing. 

Understanding Smishing

Smishing is a combination of the terms "SMS" and "phishing." It entails sending false text messages that appear to be from reputable sources such as banks, government organizations, or well-known companies. These communications frequently generate a feeling of urgency in their readers, prompting them to click on harmful links, expose personal information, or conduct financial transactions.

When hackers "phish," they send out phony emails in the hopes of tricking the receiver into clicking on a dangerous link. Smishing is just the use of text messaging rather than email. In essence, these hackers are out to steal your personal information to commit fraud or other cybercrimes. This generally entails stealing money – usually your own, but occasionally also the money of your firm.

The cybercriminals typically use these tactics to lure victims and steal the information.

Malware- The cyber crooks send the smishing URL link that might tick you into downloading malicious software on your phone itself. This SMS malware may appear as legitimate software, deceiving you into putting in sensitive information and transmitting it to crooks.

Malicious website- The URL in the smishing message may direct you to a bogus website that seeks sensitive personal information. Cybercriminals employ custom-made rogue sites meant to seem like legitimate ones, making it simpler to steal your information.

Smishing text messages often appear to be from your bank, asking you to share personal sensitive information, ATM numbers, or account details. Mobile device cybercrime is increasing, as is mobile device usage. Aside from the fact that texting is the most prevalent usage of cell phones, a few additional aspects make this an especially pernicious security issue. Let's go over how smishing attacks operate.

Modus Operandi

The cyber crooks commit the fraud via SMS. As attackers assume an identity that might be of someone trusted, Smishing attackers can use social engineering techniques to sway a victim's decision-making. Three things are causing this deception:

• Trust- Cyber crooks target individuals, by posing to someone from a legitimate individual and organization, this naturally lowers a person’s defense against threats. 

• Context- Using a circumstance that might be relevant to targets helps an attacker to create an effective disguise. The message feels personalized, which helps it overcome any assumption that it is spam.
• Emotion- The nature of the SMS is critical; it makes the victim think that is urgent and requires rapid action. Using these tactics, attackers craft communications that compel the receiver to act.
• Typically, attackers want the victim to click on a URL link within the text message, which takes them to a phishing tool that asks them for sensitive information. This phishing tool is frequently in the form of a website or app that also assumes a phony identity.

How does Smishing Spread?

As we have revealed earlier smishing attacks are delivered through both traditional texts. However, SMS phishing attacks primarily appear to be from known sources People are less careful while they are on their phones. Many people believe that their cell phones are more secure than their desktops. However, smartphone security has limits and cannot always guard against smishing directly.

Considering the fact phones are the target While Android smartphones dominate the market and are a perfect target for malware text messages, iOS devices are as vulnerable. Although Apple's iOS mobile technology has a high reputation for security, no mobile operating system can protect you from phishing-style assaults on its own. A false feeling of security, regardless of platform, might leave users especially exposed.

Kinds of smishing attacks

Some common types of smishing attacks that occurred are;

•  COVID-19 Smishing: The Better Business Bureau observed an increase in reports of US government impersonators sending text messages requesting consumers to take an obligatory COVID-19 test via a connected website in April 2020. The concept of these smishing assaults may readily develop, as feeding on pandemic concerns is a successful technique of victimizing the public.

• Gift Smishing: Give away, shopping rewards, or any number of other free offers, this kind of smishing includes free services or products, from a reputable or other company. attackers plan in such a way that the offer is for a limited time or is an exclusive offer and the offers are so lucrative that one gets excited and falls into the trap. 

CERT Guidelines

 CERT-In shared some steps to avoid falling victim to smishing. 

• Never click on any suspicious link in SMS/social media charts or posts.
• Use online resources to validate shortened URLs.
• Always check the link before clicking.
• Use updated antivirus and antimalware tools.
• If you receive any suspicious message pretending to be from a bank or institution, immediately contact the bank or institution.
• Use a separate email account for personal online transactions.
• Enforce multi-factor authentication (MFA) for emails and bank accounts.
• Keep your operating system and software updated with the latest patches.

Conclusion

Smishing uses fraudulent mobile text messages to trick people into downloading malware, sharing sensitive data, or paying cybercriminals money. With the latest technological developments, it has become really important to stay vigilant in the digital era not only protecting your computers but safeguarding the devices that fit in the palm of your hand, CERT warning plays a vital role in this. Awareness and best practices play a pivotal role in safeguarding yourself from evolving threats.

Reference

• https://www.ndtv.com/india-news/government-warns-of-smishing-attacks-heres-how-to-stay-safe-4709458
• https://zeenews.india.com/technology/govt-warns-citizens-about-smishing-scam-how-to-protect-against-this-online-threat-2654285.html
• https://www.the420.in/protect-against-smishing-scams-cert-in-advice-online-safety/