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Applications & Awareness in Technology

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Home/Science & Technology/Applications & Awareness in Technology/Page 36

Mains Answer Writing Latest Questions

Ashmit Tyagi
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Ashmit TyagiBegginer
Asked: July 14, 2024In: ,
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Do AI working just to reduce our workloads or paving a path to take all sort of jobs done by humans and making them dependant & reliable on AI?

aiindiannaturetechnologyworld
  1. Aryan Jha
    Aryan Jha Begginer

    As we are proceeding towards more enhanced and technicallly sound world AI is one of the most important factor for enhancing the things , while talking about the job yes some type of jobs which needs basics human involvement and takes a lot of time can be replaced but not the all types of the job caRead more

    As we are proceeding towards more enhanced and technicallly sound world AI is one of the most important factor for enhancing the things , while talking about the job yes some type of jobs which needs basics human involvement and takes a lot of time can be replaced but not the all types of the job can replaced .

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PRIYANSHU KAMBLE
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PRIYANSHU KAMBLEBegginer
Asked: July 14, 2024In: ,
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In most of interviews the interviewer asks the candidates question about making use of Ai is good or not. Everyone is scared of Ai taking all jobs of humans as it is not full truth.

aijobsquestion
  1. Palak Agarwal
    Palak Agarwal Begginer

    AI isn't universally hated, but some worry it will take jobs and make learning pointless. Here's why: Jobs: Imagine a factory with robots doing repetitive tasks. AI might do the same for some office jobs, leaving people unsure what work will be left. Learning: AI tutors can be amazing, but some fearRead more

    AI isn’t universally hated, but some worry it will take jobs and make learning pointless. Here’s why:

    Jobs: Imagine a factory with robots doing repetitive tasks. AI might do the same for some office jobs, leaving people unsure what work will be left.

    Learning: AI tutors can be amazing, but some fear they might replace teachers altogether. People might lose the social aspects of learning and the human touch.

    However, AI is more like a super tool. It can free people from boring tasks, allowing them to focus on creative or strategic work. In learning, AI can personalize education, helping each person learn at their own pace.

    The key is to see AI as a helper, not a replacement.

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Aryan Jha
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Aryan JhaBegginer
Asked: July 14, 2024In: , , ,
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cybersecurityquestion
  1. Sakshi Dubey
    Sakshi Dubey Begginer

    Staying aware of cyber frauds and crimes begins with continuous education and awareness. Regularly reading up on the latest cyber threats, common scams, and security best practices from reputable sources, such as cybersecurity blogs, news outlets, and official government websites, is essential. PartRead more

    Staying aware of cyber frauds and crimes begins with continuous education and awareness. Regularly reading up on the latest cyber threats, common scams, and security best practices from reputable sources, such as cybersecurity blogs, news outlets, and official government websites, is essential. Participating in cybersecurity awareness training programs offered by employers, educational institutions, or online platforms can also provide valuable insights. These programs often cover critical topics such as phishing, malware, and safe online behavior, helping individuals recognize and respond to potential threats effectively.

    Practicing vigilance is another crucial aspect. It’s important to recognize phishing attempts by being cautious of unsolicited emails, messages, or phone calls requesting personal information or urging immediate action. Always verify the sender’s identity before clicking on links or downloading attachments. Regularly monitoring bank statements, credit reports, and online accounts for unusual activity can help detect suspicious transactions early, mitigating potential fraud. Additionally, using strong, unique passwords for different accounts and updating them regularly is vital to prevent unauthorized access.

    Employing the right tools and practices further enhances protection against cyber threats. Installing and regularly updating antivirus software can defend against malicious attacks. Using Virtual Private Networks (VPNs) secures your internet connection, especially when accessing public Wi-Fi networks. Enabling two-factor authentication (2FA) on all accounts that offer it adds an extra layer of security by requiring a second form of verification in addition to your password. Lastly, regularly backing up data to an external hard drive or cloud storage protects against data loss due to cyber attacks. Combining these strategies ensures a robust defense against cyber frauds and crimes, helping individuals stay proactive and secure in an ever-evolving digital landscape.

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Sarim Khan
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Sarim KhanBegginer
Asked: July 16, 2024In:
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Discuss the ethical challenges and regulatory frameworks necessary for the responsible deployment of artificial intelligence in public sector governance. Illustrate your answer with examples from both developed and developing countries.

aimains examquestionupsc
  1. Divisha
    Divisha Begginer

    Ethical issues arising from the application of artificial intelligence in the governance of the public sector are AI systems can yield unfair results if the bases used during their development contain bias as seen in cases such as law enforcement or social services. Transparency is another issue whiRead more

    Ethical issues arising from the application of artificial intelligence in the governance of the public sector are AI systems can yield unfair results if the bases used during their development contain bias as seen in cases such as law enforcement or social services. Transparency is another issue which is a problem because AI systems often make decisions without providing a clear and easily understandable explanation behind them.

    They are crucial to attend to these issues. In the developed countries, the European Union has set definite guidelines by its regulation of General Data Protection. This regulation guarantees citizens the right to know how their data is being processed and also the right to object against automated decision-making.

    On the other hand, countries in the developing world such as India are creating their approaches to AI ethics to ensure that it does not widen gaps in the society. However, here is the challenge that needs to be addressed, i.e., sometimes the government sets too many rules that can hinder innovation and growth of new technologies.

    Both contexts show that it is high time to strengthen the legal framework to implement AI-based solutions responsibly and take advantage of this technology for everyone.

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Furkan Sayyed
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Furkan SayyedBegginer
Asked: July 16, 2024In: ,
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  1. LOHIT MISHRA
    LOHIT MISHRA Begginer

    When data is written to storage devices, the process involves several key steps: Data Request: The computer receives a command to save data, typically from a user or an application. Data Conversion: The data is converted into a binary format (0s and 1s) that the storage device can understand. ControRead more

    When data is written to storage devices, the process involves several key steps:

    1. Data Request: The computer receives a command to save data, typically from a user or an application.
    2. Data Conversion: The data is converted into a binary format (0s and 1s) that the storage device can understand.
    3. Controller Interaction: The storage device’s controller, which acts as a manager, organizes and oversees the data transfer process.
    4. Seek Operation: The storage device locates the specific position where the data will be written.
      • Hard Drives: The read/write head moves to the correct location on the spinning disk platter.
      • Solid-State Drives (SSDs): Electrical circuits identify the precise memory cells for data storage.
    5. Writing Data:
      • Hard Drives: Data is written by magnetizing specific areas on the disk platter.
      • SSDs: Data is written by changing the electrical charge in memory cells.
    6. Error Checking: The device verifies that the data has been written correctly to prevent corruption.
    7. Confirmation: The device sends an acknowledgment to the computer, confirming successful data storage.
    8. File System Update: The file system updates its records to reflect the new data’s location and metadata.

    This sequence ensures data is accurately stored and easily retrievable from the device.

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Soumi Samanta
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Soumi SamantaBegginer
Asked: July 17, 2024In: , , , ,
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  1. Prachi G
    Prachi G Begginer

    Ethical and Societal Challenges in Artificial Intelligence (AI) include: Bias and Fairness: AI systems can inherit biases from their training data, leading to unfair outcomes in areas like hiring, lending, and law enforcement. Privacy: AI can collect and analyze vast amounts of personal data, raisinRead more

    Ethical and Societal Challenges in Artificial Intelligence (AI) include:

    1. Bias and Fairness: AI systems can inherit biases from their training data, leading to unfair outcomes in areas like hiring, lending, and law enforcement.
    2. Privacy: AI can collect and analyze vast amounts of personal data, raising concerns about surveillance and data protection.
    3. Transparency: Many AI algorithms are “black boxes,” making it difficult to understand how they make decisions, which can lead to a lack of accountability.
    4. Job Displacement: Automation and AI can replace human jobs, leading to economic disruption and increased inequality.
    5. Security: AI systems can be vulnerable to hacking and malicious use, posing risks to safety and security.
    6. Autonomous Weapons: The development of AI-powered weapons raises ethical concerns about accountability and the potential for misuse.
    7. Ethical Decision-Making: AI systems may be used in critical decision-making areas, such as healthcare and criminal justice, where ethical considerations are paramount.

    Addressing these challenges requires a multidisciplinary approach, involving policymakers, technologists, and ethicists to ensure AI is developed and deployed responsibly.

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Pulkita Rajain
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Pulkita RajainBegginer
Asked: July 18, 2024In:
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Most of the population thinks that AI will cause the workforce to become unemployed. But some thinks that it will help in creating more jobs. How is it so?

aijobs
  1. Malavikaaa
    Malavikaaa Begginer

    AI can help create more jobs instead of causing layoffs by transforming and expanding industries, thus generating new employment opportunities. As AI handles repetitive and mundane tasks, it allows workers to focus on more complex and creative activities that require human insight and emotional inteRead more

    AI can help create more jobs instead of causing layoffs by transforming and expanding industries, thus generating new employment opportunities. As AI handles repetitive and mundane tasks, it allows workers to focus on more complex and creative activities that require human insight and emotional intelligence. This shift can lead to the creation of new roles in areas like AI management, data analysis, and machine learning operations.

     

    Moreover, AI can drive innovation, leading to the development of entirely new industries and services. For instance, the rise of AI has spurred growth in fields such as autonomous vehicles, smart home technology, and personalized medicine, all of which require skilled professionals for research, development, and maintenance.

     

    In addition, AI can enhance productivity and efficiency in various sectors, prompting companies to expand and hire more employees to manage increased business demands. For example, in customer service, AI chatbots can handle basic inquiries, freeing human agents to tackle more intricate issues, thereby improving service quality and customer satisfaction.

     

    Finally, the integration of AI necessitates extensive training and education programs to equip the workforce with new skills, fostering a continuous learning environment and creating jobs in education and training sectors. Thus, AI’s role in job creation is multifaceted, contributing to economic growth and workforce evolution.

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Varun
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VarunBegginer
Asked: July 19, 2024In:
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aisciencetechnology
  1. Sanskriti Arora
    Sanskriti Arora Begginer

    In the future, technology will revolutionize healthcare with AI-driven diagnostics and personalized medicine, improving disease detection and treatment while cutting costs. Autonomous vehicles will enhance transportation safety and efficiency, reducing accidents and dependence on fossil fuels. VR anRead more

    In the future, technology will revolutionize healthcare with AI-driven diagnostics and personalized medicine, improving disease detection and treatment while cutting costs. Autonomous vehicles will enhance transportation safety and efficiency, reducing accidents and dependence on fossil fuels. VR and AR will transform communication and learning, bridging distances and reshaping education and remote work. IoT will create smart homes that automate tasks and optimize energy use, simplifying daily life. Advancements in renewable energy will combat climate change by fostering greener, more resilient energy systems. Overall, technology promises to enhance efficiency, sustainability, and connectivity across various domains, offering solutions to everyday challenges in unprecedented ways.

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mrithul sachin
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mrithul sachinBegginer
Asked: July 19, 2024In: ,
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  1. Anusree Sanalkumar
    Anusree Sanalkumar Begginer

    Transfer learning is a smart way to make your machine learning model better, especially if you don’t have a lot of labeled data. Here’s how it works: Start with a Pre-trained Model: You take a model that has already been trained on a large, related dataset. This model has learned useful features thaRead more

    Transfer learning is a smart way to make your machine learning model better, especially if you don’t have a lot of labeled data. Here’s how it works:

    1. Start with a Pre-trained Model: You take a model that has already been trained on a large, related dataset. This model has learned useful features that can be helpful.
    2. Fine-Tuning: You then adjust this pre-trained model to fit your specific, smaller dataset. You might freeze some layers (keep them as they are) and only train the last layers with your data.
    3. Feature Extraction: Another method is to use the pre-trained model to get features from your data and then use these features to train a new, simpler model.
    4. Domain Adaptation: If the source and target domains are quite different, you can use techniques to make the model adapt better. For example, domain adversarial training can help the model learn to handle differences between the source and target domains.
    5. Data Augmentation: You can also artificially increase your data size by creating variations of your limited data to help the model learn better.

    By using these methods, you can make your model perform well even if you don’t have a lot of data from the new domain.

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Devika C
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Devika CBegginer
Asked: July 19, 2024In:
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  1. Aditi Singh
    Aditi Singh Begginer

    When developing and using emerging technologies like blockchain and 5G, several ethical considerations must be addressed to ensure responsible innovation. Privacy is paramount, as blockchain's transparency and 5G's vast connectivity can expose personal data to unauthorized access. Robust encryptionRead more

    When developing and using emerging technologies like blockchain and 5G, several ethical considerations must be addressed to ensure responsible innovation. Privacy is paramount, as blockchain’s transparency and 5G’s vast connectivity can expose personal data to unauthorized access. Robust encryption and data protection measures are essential to safeguard individual privacy. Security is also a critical concern, as the decentralized nature of blockchain and the extensive reach of 5G increase the potential for cyber threats. Developers must prioritize secure protocols and regularly update systems to prevent vulnerabilities.

    Inclusivity should be considered to ensure equitable access to these technologies, preventing the widening of the digital divide. Efforts should be made to make these advancements accessible to all communities, regardless of socio-economic status. Transparency in development and deployment is vital, allowing stakeholders to understand how these technologies work and their potential impacts. This openness fosters trust and informed decision-making by users. Additionally, the environmental impact should not be overlooked, as both blockchain and 5G technologies can have significant energy consumption. Developers should strive to create energy-efficient solutions to minimize their ecological footprint.

    In summary, addressing privacy, security, inclusivity, transparency, and environmental impact ensures that technological progress aligns with societal values and promotes the greater good.

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