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Science & Technology Since Independence

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Home/Post-independence India/Science & Technology Since Independence/Page 6

Mains Answer Writing Latest Questions

Blade Runner
  • 1
Blade RunnerBegginer
Asked: July 19, 2024In: , ,
  • 1

What changes can we expect in upcoming decades due to science and technology ?

question
  1. Varun
    Varun Begginer

    In the coming decades, advances in AI, personalized medicine, and renewable energy will enhance healthcare and sustainability. Smart cities and new technologies will improve living conditions, making life healthier, safer and more efficient for everyone.

    In the coming decades, advances in AI, personalized medicine, and renewable energy will enhance healthcare and sustainability.

    Smart cities and new technologies will improve living conditions, making life healthier, safer and more efficient for everyone.

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Aman Raj Singh
  • 0
Aman Raj SinghBegginer
Asked: July 18, 2024In: ,
  • 0

Describe the establishing a human settlement on Mars involves overcoming significant challenges in radiation protection, life support, transportation, habitat construction, healthcare, psychology, energy supply, and scientific research.

  1. Mr Patel
    Mr Patel Begginer

    Establishing a human settlement on Mars presents significant scientific and technological challenges: 1. **Life Support Systems**: Providing reliable oxygen, water, and food in a hostile environment is critical. Solutions include advanced recycling systems, hydroponics, and closed-loop life supportRead more

    Establishing a human settlement on Mars presents significant scientific and technological challenges:

    1. **Life Support Systems**: Providing reliable oxygen, water, and food in a hostile environment is critical. Solutions include advanced recycling systems, hydroponics, and closed-loop life support systems.

    2. **Radiation Protection**: Mars lacks a protective magnetic field, exposing settlers to high levels of cosmic and solar radiation. Solutions involve building habitats with thick shielding, using Martian soil (regolith), or underground bases.

    3. **Sustainable Energy**: Reliable energy sources are necessary for survival. Solar panels, nuclear reactors, and possibly wind turbines could provide power.

    4. **Transportation**: Efficient transportation for initial and continuous supply missions is needed. This involves developing advanced propulsion systems and reusable rockets.

    5. **Psychological and Social Factors**: Isolation and confinement can affect mental health. Solutions include designing spacious habitats, ensuring communication with Earth, and providing recreational activities.

    6. **Resource Utilization**: Using Martian resources (In-Situ Resource Utilization) for building materials, water extraction, and fuel production is essential for sustainability.

    Addressing these challenges requires interdisciplinary collaboration, advancements in space technology, and continuous research and development. International cooperation and investments in space programs are also crucial.

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Sujeet Mehrotra_
  • 0
Sujeet Mehrotra_Scholar
Asked: July 18, 2024In: , , ,
  • 0

Discuss the role of Indian women in STEM sector domestically and globally.

question
  1. MADHUVANDHANA S
    MADHUVANDHANA S Begginer

    Indian women have been making significant strides in the STEM (Science, Technology, Engineering, and Mathematics) sector both domestically and globally. Here’s a discussion on their role and contributions: Domestically 1. Increasing Participation: In recent years, there has been a notable increase iRead more

    Indian women have been making significant strides in the STEM (Science, Technology, Engineering, and Mathematics) sector both domestically and globally. Here’s a discussion on their role and contributions:

    Domestically

    1. Increasing Participation: In recent years, there has been a notable increase in the number of Indian women pursuing education and careers in STEM fields. Initiatives like the “Beti Bachao, Beti Padhao” campaign and various scholarship programs have encouraged more girls to enter these sectors.

    2. Government and NGO Support: The Indian government and several non-governmental organizations have been actively promoting STEM education among women through various initiatives and programs. For example, the Department of Science & Technology (DST) runs the “Women Scientist Scheme” to support women scientists and technologists.

    3. Corporate Initiatives: Many Indian companies are fostering a more inclusive work environment by implementing policies that support women in STEM. This includes mentorship programs, flexible working hours, and initiatives aimed at reducing the gender gap in the workplace.

    4. Education and Outreach: Efforts to promote STEM education at the grassroots level, such as introducing STEM subjects in schools and organizing science fairs and competitions, have helped ignite interest in these fields among young girls.

    Globally

    1. Leadership and Innovation: Indian women have emerged as leaders and innovators in various STEM fields worldwide. They hold prominent positions in academia, research institutions, and leading tech companies. For instance, Gagandeep Kang, a renowned scientist in virology, and Padmasree Warrior, a technology executive, are notable examples.

    2. Contributions to Research and Development: Indian women are making significant contributions to global research and development. They are involved in cutting-edge research across various disciplines, including biotechnology, pharmaceuticals, and information technology.

    3. Representation in International Organizations: Indian women are increasingly being recognized and represented in international scientific organizations and forums. They participate in global conferences, contribute to international journals, and collaborate on multinational research projects.

    4. Role Models and Mentors: Successful Indian women in STEM serve as role models and mentors for the next generation of female scientists and engineers. Their achievements inspire young girls to pursue careers in STEM and break through the glass ceiling.

    Challenges and the Way Forward

    Despite the progress, challenges such as gender bias, lack of mentorship, and work-life balance issues still exist. Addressing these challenges requires continued efforts from all stakeholders, including the government, educational institutions, and the private sector. Promoting gender diversity in STEM is crucial for fostering innovation and driving economic growth.

    In conclusion, Indian women are playing a pivotal role in the STEM sector, both in India and globally. Their contributions are crucial for the advancement of science and technology, and ongoing efforts to support and encourage them will help build a more inclusive and innovative future.

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Sorry it's a private question.

Shubham kamble
  • 0
Shubham kambleBegginer
Asked: July 17, 2024In: , ,
  • 0

cloud computing
  1. Anita Dhruw
    Anita Dhruw Legend

    Benefits of Migrating Enterprise Applications to the Cloud: Cost Savings Reduced Costs on IT Infrastructure: They do not directly invest in comericial equipment and services such as on-site hardware (servers, storage, networking equipment) and data centers and their cooling systems Pay-as-You-Go ModRead more

    Benefits of Migrating Enterprise Applications to the Cloud:

    Cost Savings

    Reduced Costs on IT Infrastructure: They do not directly invest in comericial equipment and services such as on-site hardware (servers, storage, networking equipment) and data centers and their cooling systems

    Pay-as-You-Go Model: Most cloud providers align this cost on the actual usage to enable the up or down scaling on cost outlay.
    -Rapid scaling: Optional users may be increased or decreased instantly in response to a range of rarely occurring or unpredictable high levels of demand, for example at the end of calendar years, academic years or fiscal years. Faster time to market: The fast deployment of applications and services ensures that new products/services are developed and launched on the market faster.

    Higher Innovation
    -Access to Cutting-Edge Technologies: Get more access to the cloud services, such as AI/ML, big data and IoT, to transform business models for growth.
    -Focus on Core Business: Divert IT infrastructure responsibilities and workload leaving room for IT to deliver more on strategic concerns that supports the business.

    Improved Security:
    -Strong Security: Cloud providers invest a lot of money in security and its deployment and follow the best practices to shield data and applications from threats.

    Difficulties in Migrating Enterprise Applications to the Cloud:

    Security:
    Data Breaches: The cloud providers may offer strong protection measures but there are still data leaks.
    Compliance Issues: Implementing privacy rules for data storage sharing particularly in the current increased cloud utilize (for example the GDPR or CCPA ).

    Vendor Lock-in:
    Dependence on the Cloud Provider: Data and applications are moved to a specific cloud provider and this make it complex to do the same with another in future hence creating vendor lock in.

    Integration Challenges:
    Integration with Existing Systems: However, they also posed some important challenges that include the following: The integration of the cloud-based applications with the existing on site systems and applications is always a challenge.

    Cost Management:
    Unexpected Costs: The following costs are also possible if not checked frequently; data transfer charges, storage fees, and the emergence of surge in usage among others.

    Data Migration:
    Data Quantity: Heavy volume data migrating into the cloud will be complex and time-consuming potentially causing disruption to daily business routines.

    Skilling Gap:
    -Cloud Savvy: For successful handling and management of applications powered through cloud, organizations must build their skills.

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Dipeesha Bhagat
  • 0
Dipeesha BhagatBegginer
Asked: July 17, 2024In: , , ,
  • 0

question
  1. emanjaved003@gmail.com
    [email protected]

    Elon Musk once stated, "With Artificial Intelligence , we are summoning the demons. This quote highlights the surge impact of AI and machine learning in our everyday life that can be startling too. Though, there is no suspicion in the fact that AI and machine learning are the name of efficiency andRead more

    Elon Musk once stated, “With Artificial Intelligence , we are summoning the demons.
    This quote highlights the surge impact of AI and machine learning in our everyday life that can be startling too. Though, there is no suspicion in the fact that AI and machine learning are the name of efficiency and sophistication but on the other hand, have some swindling effect too. The below stated pointers are some of the ethical implications of AI and Machine Learning in everyday life:

    PRIVACY AND SECURITY:
    AI Algorithms are used to process data and this data may also contain personal information of the individuals that can be used fraudulently. However , the user who has designed the algorithms should be responsible for the decision making of the AI.

    BIAS ALGORITHM:
    The places where AI is implemented like libraries, stores or the places where recruitment is taken place , have become a source of bias algorithm. Partisanship takes place based on the personal information of the individuals that may include discrimination on the basis of color, caste , creed ,gender among them .This leads to the selection in a total unfair means.

    INCREASING UNEMPLOYMENT RATE:
    AI generated tools are playing a vital role in the displacement of jobs of people. The human based tasks like content writing , making presentations and research on any topic and many more , are indubitably completed by AI algorithms and machine learning.

    THREATENING TO HUMAN EXISTENCE:
    One of the most alarming implications of AI and machine learning is that they could easily be used to harm human existence. As these machines possess human intelligence, they can easily be programmed to be self aware and to contemplate humans as a threat to them. In this way, these machines can be used for the purpose of wars or terrorism .

    CONCLUSION:
    The user who implements and processes the algorithms should be responsible for the safety of the consequences and should make sure that the system is working for the betterment of the society. In this way, the flustering upshots of AI and machine learning implementation can be eradicated.

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Rajat Gupta
  • 0
Rajat GuptaBegginer
Asked: July 17, 2024In: , , , , , , , , , , , , , , , ,
  • 0

Humans have always been a developing as per their requirements and circumstances offered by nature and situations. They have introduced computers, rockets, energy mining, infrastructure etc. but Is it enough for survival? No. For the further survival humankind have to keep evolving ...

energy resourcehuman developmenthuman resourceindustryinfrastructuremanufactruingmineral resourcesmobilisaton of resourcesresources/sciencescience and technologyspacetechnology
  1. kevinvagadiya
    kevinvagadiya Begginer

    Universal Matter Replication: Imagine a device that can scan and replicate any object at an atomic level. This would revolutionize manufacturing, eliminating waste and creating anything on demand. Food scarcity, resource limitations, and dependence on complex supply chains could become relics of theRead more

    • Universal Matter Replication: Imagine a device that can scan and replicate any object at an atomic level. This would revolutionize manufacturing, eliminating waste and creating anything on demand. Food scarcity, resource limitations, and dependence on complex supply chains could become relics of the past. Shelter, clothing, and even complex tools could be readily available, fundamentally changing how we live and interact with the world.

    • Advanced Brain-Computer Interfaces (BCIs): A seamless interface between the human brain and computers could unlock unimaginable potential. Imagine controlling technology with thought, directly accessing and storing information in the brain, or even enhancing our cognitive abilities. This could revolutionize education, communication, and scientific exploration. However, ethical considerations regarding privacy and human augmentation would need to be carefully addressed.

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Tanuja Raje
  • 0
Tanuja RajeBegginer
Asked: July 17, 2024In: , , ,
  • 0

What are the mechanisms by which these mutations alter normal cellular processes, leading to the uncontrolled cell growth seen in cancer or the neurodegeneration observed in Alzheimer’s disease?

cancerdiseasesgeneticsmutationquestion
  1. Prachi Parab
    Prachi Parab Begginer
    This answer was edited.

     

     

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[Deleted User]
  • 0
[Deleted User]
Asked: July 17, 2024In: ,
  • 0

questionscience and technology
  1. Archi Kumar
    Archi Kumar Begginer

    Material Science has made a lot of advancement in various areas. As population increases, energy consumption is also increasing. By 2050, it is estimated that 30 TW of energy will be required to cater the needs of future generation. This large disparity can be achieved by renewable resources presentRead more

    Material Science has made a lot of advancement in various areas. As population increases, energy consumption is also increasing. By 2050, it is estimated that 30 TW of energy will be required to cater the needs of future generation. This large disparity can be achieved by renewable resources present in nature.

    Solar cells is one of the better alternatives that can provide better lifetime and more optimum usage. This is also used in photovoltaics and semiconductors. This energy resource makes better management and sustainable growth in various industries. It is an eco-friendly option and a renewable resource of energy.

    Nanotechnology is one of the great advancements today. This can be used to make better semiconductors. The biggest advantage of these semiconductors is the leverage on energy requirements. A user can make semiconductors according to his requirement and can change it by changing its shape.

    Due to less distance between electron and hole pairs, these semiconductors are a part of improved technology that help in reaching requirements better and are eco-friendly.

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[Deleted User]
  • 0
[Deleted User]
Asked: July 17, 2024In: ,
  • 0

  1. Anita Dhruw
    Anita Dhruw Legend

      1. Meta-learning As we have seen in previous sections of this tutorial There is an interesting field of study known as Meta-learning which trains a model on some set of task using only minimal amounts of information so that learning happens very rapidly from just very few examples as possibleRead more

     

    1. Meta-learning

    As we have seen in previous sections of this tutorial There is an interesting field of study known as Meta-learning which trains a model on some set of task using only minimal amounts of information so that learning happens very rapidly from just very few examples as possible.
    -Popular Methods: MAML, Prototypical Network, Matching Network

    2. Data Augmentation:

    -Increase the variety of training data: To derive more invariant features, the model is trained on augmented training data with large population and variation. Techniques include:
    -Image Augmentation: It helps distort images through rotation, flipping of images as well as distorting the size of images and adding noise to images as well.
    -Text Augmentation: This is carried out by synthesizing with synonyms, back translating and paraphrasing.
    -Generative Models: Employing Generative Adversarial Networks (GANs) to develop artificial data which resemble near real example cases.

    3. Transfer Learning:

    -Leverage Prior Knowledge: Start with a pre-trained model on large data sets such as the ImageNet image data or the BERT text data. Models of such a type have already acquired general features, in the presence of which new sets of parameters can be immediately updated to solve several particular few-shot learning tasks.
    -Fine-tuning: Fine-tune the pre-trained model with a limited number of labeled examples from the target task.

    5. Self-Supervised Learning:

    -Learn from Unlabeled Data: Pseudo Train models on a large amount of data with no labels to manage to get beneficial representations. This makes the models learn the general features and allows them to generalize on new tasks with few of the annotated datasets.

    -6. Attention Mechanisms:

    -Attention Mechanisms Focus on Relevant Information: Due to the attentiveness of the models, they can pay attention to different parts of input data and, thereby, their capability to learn from limited data.

     

    Key Considerations:

    -Dataset Bias: Pay close attention to the aspect of implicit bias in the training data because and this is a key factor that affects most of the few-shot learning models.
    Evaluation Metrics: Accurately analyse the few-shot learning model in conjunction with the evaluation metrics such as few-shot accuracy, and generalisability.

     

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