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Subject: Science and Technology

  • [pib] Global Partnership on Artificial Intelligence (GPAI) Summit

    gpai

    Central Idea

    • The Global Partnership on Artificial Intelligence (GPAI) Summit began in New Delhi on December 12, inaugurated by Prime Minister.
    • India, along with 28 member countries, is working towards a consensus on a declaration document focusing on the proper use of AI, establishing guardrails for the technology, and its democratization.

    GPAI and India

    • Founding Member: India joined GPAI as a founding member in June 2020, aiming to bridge the gap between AI theory and practice.
    • International Collaboration: The initiative fosters collaboration among scientists, industry professionals, civil society, governments, international organizations, and academia.
    • Previous Summits: Prior GPAI summits were held in Montreal, Paris, and Tokyo.
    • India’s Stance: IT Minister highlighted India’s focus on sustainable agriculture and collaborative AI, building on the Digital Public Infrastructure (DPI) approach used in Aadhaar and UPI systems.

    Content of the Proposed Declaration

    • Themes and Focus: The declaration is expected to cover AI’s use in sustainable agriculture, healthcare, climate action, and building resilient societies.
    • Regulatory Aspects: It will align with past agreements and global ideas on AI regulation.
    • India’s Contribution: India’s emphasis is on evaluating AI in sustainable agriculture and promoting collaborative AI.

    Global Conversation on AI Regulation

    • EU’s AI Act: The European Union passed the AI Act, introducing safeguards and guardrails for AI use, especially in law enforcement, and setting up mechanisms for complaints against violations. It imposes strong restrictions on facial recognition and AI’s potential to manipulate human behavior.
    • AI Safety Summit in the UK: Major countries agreed on a declaration for global action to address AI risks, acknowledging the dangers of misuse, cybersecurity threats, biotechnology, and disinformation risks.
    • US Executive Order: The Biden Administration issued an order to safeguard against AI threats and oversee safety benchmarks for generative AI bots like ChatGPT and Google Bard.

  • Red Sprites: Atmospheric Wonders above Thunderstorms

    Red Sprites

    Central Idea

    • ESA astronauts recorded a red sprite over a thundercloud as part of the Thor-Davis experiment at Danish Technical University.

    What are Red Sprites?

    Details
    Type Transient Luminous Event (TLE)
    Appearance Reddish-orange flashes, often in clusters, with shapes resembling tendrils, jellyfish, or carrots
    Altitude Typically occur at altitudes between 50 to 90 kilometers (31 to 56 miles)
    Duration Extremely brief, lasting only a few milliseconds
    First Documented First photographed in 1989, though pilots had reported sightings for decades
    Formation Triggered by positive lightning discharges from thunderclouds to the ionosphere
    Color Explanation Red coloration due to the excitation of nitrogen molecules; lower parts can appear blue
    Observation Challenges Ephemeral nature and often obscured by thunderclouds; typically observed from aircraft or high-altitude platforms
    Scientific Significance Provides insights into electrical and chemical processes in the upper atmosphere
    Related Phenomena Part of a group that includes blue jets and elves, all linked to thunderstorm activity
    Research Importance Investigated for understanding the Earth’s electromagnetic environment and atmospheric electrical balance

  • Europe agrees landmark AI Regulation Deal

    AI

    Central Idea

    • European Commissioner Thierry Breton announced on the provisional deal on the world’s first comprehensive AI regulation.
    • Finally, the EU becomes the first continent to set clear rules for AI use, following a long negotiation between the European Parliament and EU member states.

    EU’s AI Legal Framework

    • Safeguards and Restrictions: The legislation includes strict guidelines on AI use by law enforcement and consumer rights to file complaints against violations.
    • Facial Recognition and Manipulation: Strong restrictions are placed on facial recognition technology and AI that manipulates human behavior.
    • Biometric Surveillance: Governments are limited to using real-time biometric surveillance in public areas only under serious threats, like terrorist attacks.
    • Breton’s Vision: The legislation is seen as a launch pad for EU startups and researchers to lead in AI, aiming for technology development that respects safety and rights.

    Details of the EU AI Act

    • Risk-Based Classification: AI applications are divided into four risk classes, ranging from largely banned applications to high-risk and medium-risk categories.
    • High-Risk Applications: Includes AI tools for self-driving cars, subject to certification and public scrutiny.
    • Medium-Risk Applications: Such as generative AI chatbots require detailed documentation and transparency obligations.

    Europe’s Leadership in Tech Regulation

    • Contrast with the US: Europe has led in tech regulation, with laws like GDPR, DSA, and DMA, focusing on privacy and curbing tech majors’ dominance.
    • US Approach: The White House Executive Order on AI and an AI Bill of Rights aim to provide a blueprint for AI regulation.

    Different Approaches to AI Regulation

    • Global Policy Scrutiny: Policymakers worldwide are increasingly focusing on regulating generative AI tools, with concerns over privacy, bias, and intellectual property.
    • EU’s Stringent Stance: The EU adopts a tougher approach, categorizing AI based on invasiveness and risk.
    • UK’s Light-Touch Approach: Aims to foster innovation in AI.
    • US’s Intermediate Position: The US approach lies between the EU and the UK.
    • China’s Regulatory Measures: China has also released its guidelines to regulate AI.

    India’s Approach to AI

    • Focus on Sovereign AI: India emphasizes developing its sovereign AI, particularly for real-life applications in healthcare, agriculture, governance, and language translation.
    • Digital Public Infrastructure (DPI) Model: India’s DPI approach involves government-sanctioned technology offered to private entities for various use cases.
    • Minister Rajeev Chandrasekhar’s Vision: The goal is to leverage AI for economic development, with a focus on Indian startups and companies driving the AI ecosystem.

    Conclusion

    • Worldwide Impact: The EU’s AI Act sets a precedent for global AI regulation, influencing how countries approach AI governance.
    • Balancing Innovation and Regulation: The challenge lies in fostering AI innovation while ensuring ethical use and safeguarding individual rights.

  • Google unveils ‘Gemini AI Model’

    gemini

    Central Idea

    • Google has introduced Gemini, a new multimodal general AI model, available globally through Bard.
    • It is seen as Google’s response to ChatGPT, offering advanced capabilities in the realm of GenAI.

    What is Google Gemini?

    • Unlike ChatGPT, Gemini can process and operate across various formats including text, code, audio, image, and video.
    • Google claims Gemini Ultra surpasses current models in academic benchmarks and is the first to outperform human experts in massive multitask language understanding (MMLU).

    Different versions available

    • Three Variants: Gemini comes in three sizes – Ultra, Pro, and Nano – each designed for specific levels of complexity and tasks.
    1. Gemini Ultra: Intended for highly complex tasks, currently in a trial phase with select users.
    2. Gemini Pro: Available in Bard for general users, offering advanced reasoning and understanding, and accessible to developers via Google AI Studio or Google Cloud Vertex AI.
    3. Gemini Nano: Focused on on-device tasks, already integrated into Pixel 8 Pro, and soon available to Android developers via AICore in Android 14.

    Addressing Challenges of Hallucinations and Safety

    • Factuality and Hallucinations: While improvements have been made, Gemini, like other LLMs, is still prone to hallucinations. Google uses additional techniques in Bard to enhance response accuracy.
    • Safety Measures: Google emphasizes new protections for Gemini’s multimodal capabilities, conducting comprehensive safety evaluations, including bias and toxicity assessments.
    • Ongoing Safety Research: Google collaborates with external experts to stress-test models and identify potential risks in areas like cyber-offence and persuasion.
    Hallucination: Asking a generative AI application for five examples of bicycle models that will fit in the back of your specific make of sport utility vehicle. If only three models exist, the GenAI application may still provide five — two of which are entirely fabricated.

     Comparing Gemini and ChatGPT 4

    • Flexibility and Capabilities: Gemini appears more versatile than GPT4, especially with its video processing and offline functionality.
    • Accessibility and Cost: Unlike the paid-access ChatGPT4, Gemini is currently free to use, potentially giving it a broader user base.

  • What is Vo5G (Voice over 5G)?

    Central Idea

    • India witnessed a significant improvement in call quality with the introduction of VoLTE (Voice over Long-Term Evolution) in 2016, offering clearer voice calls compared to 3G/2G networks.
    • With the advent of 5G in India, there’s growing anticipation for a new calling standard, Vo5G (Voice over 5G), already deployed in several countries.

    What is Vo5G?

    • Definition: Vo5G, also known as Voice over New Radio (VoNR), is the next generation of voice calling, utilizing 5G networks for voice transmission.
    • Advantages: It leverages 5G’s speed, capacity, and responsiveness to enhance voice call quality.
    • Global Trend: While Vo5G is gaining traction globally, its adoption in countries like India is still in the nascent stages.

    VoNR vs. VoLTE: The Advancements

    • Call Quality: VoNR offers superior call quality with advanced audio codecs, thanks to 5G’s higher bandwidth.
    • Connection Time: Reduced network latency in 5G ensures faster call connections with VoNR.
    • Reliability: VoNR promises better call continuity with lower packet loss, potentially reducing voice cut-outs.
    • Network Transition: VoNR aims to eliminate call drops experienced during the transition from 5G to 4G for VoLTE calls.

    Requirements for Vo5G

    • Compatible Device: Users need a Vo5G-supported phone, typically available in models released after 2022 with 5G capabilities.
    • Carrier Support: A network provider that offers Vo5G services is essential, along with a plan that includes Vo5G calling.
    • 5G Coverage: Effective use of Vo5G requires being in an area with 5G network coverage.

    VoNR in India

    • Availability: As of now, VoNR is not available in India, despite the ongoing 5G rollout in major cities.
    • Carrier Testing: Leading carriers like Reliance are reportedly testing VoNR for seamless integration with existing 4G and 5G networks.
    • Timeline: The exact timeline for VoNR’s widespread availability in India remains uncertain.

    Try this question from CSP 2019:

    Q.With reference to communication technologies, what is/are the difference/differences between LTE (Long-Term Evolution) and VoLTE (Voice over Long-Term Evolution)?

    1. LTE ‘is commonly marketed as 3G and VoLTE is commonly marketed as advanced 3G.
    2. LTE is data-only technology and VoLTE is voice-only technology.

    Select the correct answer using the code given below.

    (a) 1 only

    (b) 2 only

    (c) Both 1 and 2

    (d) Neither 1 nor 2

    [wpdiscuz-feedback id=”l68j4x9ayu” question=”Please leave a feedback on this” opened=”1″]Post your answers here.[/wpdiscuz-feedback]

  • Population-Level Genome Sequencing and Its Impact

    ‘deCODE’ Initiative

    Central Idea

    • The UK recently completed sequencing half a million whole genomes, nearly 0.7% of its population, under ‘deCODE’ Initiative.
    • Various countries have launched large-scale genome projects, with some focusing on specific populations like African ancestry.

    About ‘deCODE’ Initiative

    • Inception: Launched in Iceland in 1996, deCODE genomics enrolled most of the Icelandic population for genetic studies.
    • Contributions: The initiative enhanced disease genetics understanding and set standards for handling genomic data, integrating medical records with genealogies.

    Merit of Large-Scale Sequencing

    • Disease Research and Understanding: Large-scale genome sequencing allows researchers to identify genetic variations associated with various diseases. This information is crucial for understanding the genetic basis of diseases, including rare genetic disorders and complex conditions like cancer.
    • Personalized Therapies: With a better understanding of an individual’s genetic makeup, it becomes possible to develop personalized and targeted therapies. 
    • Genetic Counseling: Large-scale genome sequencing provides valuable information for genetic counseling, helping individuals and families understand their risk for certain genetic conditions.
    • Identification of Rare Variants: Large-scale sequencing efforts contribute to the identification of rare genetic variants that might be responsible for certain diseases. These discoveries are essential for expanding our knowledge of the genetic landscape and improving diagnostic capabilities.
    • Population Genetics and Evolution: Genome sequencing on a large scale allows researchers to study the genetic diversity within populations. This information is valuable for understanding human evolution, migration patterns, and population-specific genetic traits.

    Ethical and Regulatory Challenges

    • Privacy Concerns: Genome sequencing generates highly sensitive and personal information. There is a risk that genetic data could be misused or lead to privacy breaches.
    • Informed Consent: Obtaining informed consent for genome sequencing is complex due to the vast amount of information generated and the potential for incidental findings.
    • Data Ownership and Control: Balancing individual rights with the need for research and medical advancements requires careful consideration of data sharing, ownership, and access policies.
    • Genetic Discrimination: Concerns about genetic discrimination in areas such as employment, insurance, and education may discourage individuals from undergoing genome sequencing. L
    • Access to Genetic Services: Disparities in access to genetic services and genomic technologies may exacerbate existing healthcare inequalities.
    • Ethical Use of Genetic Data in Research: Researchers must adhere to ethical standards when using genetic data in research. This includes obtaining proper consent, ensuring data security, and transparently communicating the purpose and potential risks of the research.

    Long-Term Impact and Future Prospects

    • Beyond Individual Health: Population-scale genomics will enhance our understanding of human evolution, migration, and adaptation.
    • Personalized Medicine: It paves the way for personalized healthcare based on individual genetic profiles.
    • Billion Genome Project: The possibility of sequencing a billion genomes in a single project is on the horizon, alongside individuals’ rights to access and understand their own genomic data.

    Conclusion

    • Population-scale genomics is at the forefront of a genomic revolution, with the potential to transform healthcare, deepen our understanding of human biology, and shape our approach to medicine and biology.
    • This evolving field promises to bring personalized, precise treatments and a richer comprehension of our genetic heritage.

  • Six Exoplanets found in the Coma Berenices Constellation

    exoplanet

    Central Idea

    • Six exoplanets have been discovered orbiting HD 110067, a bright star in the Coma Berenices constellation, approximately 100 light-years away.
    • The planets’ radii range between that of Earth and Neptune, classifying them as ‘sub-Neptunes’.

    About Sub-Neptune Exoplanets

    • Prevalence: Sub-Neptunes are commonly found in close-in orbits around more than half of all Sun-like stars.
    • Mystery: Despite their prevalence, the composition, formation, and evolution of these planets remain largely unknown.

    Observational Details

    • TESS Observations: NASA’s Transiting Exoplanet Survey Satellite (TESS) observed dips in HD 110067’s brightness in 2020 and 2022.
    • CHEOPS Contribution: Additional observations from the CHaracterising ExOPlanets Satellite (CHEOPS) helped confirm the presence of six planets transiting the star.
    • Orbital Calculations: The study calculated the orbits of all six planets, ranging from about nine days for the innermost planet to approximately 54 days for the outermost planet.

    Characteristics of the Planets

    • Mass and Density Estimates: The planets have relatively low densities, suggesting the presence of large, hydrogen-rich atmospheres.
    • Resonant Orbits: All six planets are in resonant orbits, indicating regular gravitational interactions among them.
    • System’s Age: The resonant orbits suggest that the system has remained largely unchanged since its formation, estimated to be at least four billion years ago.

    HD 110067’s Uniqueness

    • Brightness and Host Status: HD 110067 is the brightest star known to host more than four transiting exoplanets.
    • Potential for More Discoveries: There is a possibility of additional planets within or beyond the star’s temperate zone, though such observations have not yet been made.
    • Learning Opportunity: The HD 110067 system presents a unique opportunity to study sub-Neptunes and understand how such planetary systems form and evolve.

  • India set to launch its first X-Ray Polarimeter Satellite (XPoSat)

    Central Idea

    • The Indian Space Research Organisation, following a landmark 2023, will ring in the new year with the launch of the PSLV-C58 X-ray Polarimeter Satellite (XPoSat) mission on January 1, 2024.

    About XPoSat Mission

    • Orbital Details: XPoSat will operate in a Low Earth Orbit at an altitude of about 650 km, with a low inclination of around 6 degrees.
    • Dual Scientific Payloads: The satellite is equipped with two payloads, enabling comprehensive studies of X-ray sources, including their temporal, spectral, and polarization characteristics.
    • Mission Goals: XPoSat’s primary objectives include measuring X-ray polarization in the 8-30 keV energy band and conducting long-term studies in the 0.8-15 keV band.
    • Mission Lifespan: The satellite is expected to be operational for approximately 5 years.
    • Observation Strategy: Observations by XPoSat will primarily occur during the Earth’s eclipse period to maximize efficiency.

    Payloads aboard XPoSat

    • POLIX – Primary Payload: The Polarimeter Instrument in X-rays (POLIX), developed by Bengaluru’s Raman Research Institute (RRI) with ISRO’s collaboration, is tailored to assess the degree and angle of polarization in medium X-ray energy ranges.
    • XSPECT – Secondary Payload: The X-ray Spectroscopy and Timing (XSPECT) payload, created by ISRO’s U.R. Rao Satellite Centre (URSC), will gather spectroscopic data in the 0.8-15 keV range.

    Significance of XPoSat

    • Polarization refers to the orientation of light waves. X-rays, a form of electromagnetic radiation, can also be polarized.
    • Studying it from cosmic sources provides valuable information about the physical conditions and processes occurring in extreme environments, such as around black holes, neutron stars, and supernova remnants.

  • India plans to develop its own ‘Sovereign AI’

    Sovereign AI

    Central Idea

    • In a strategic move towards bolstering its technological prowess, India is set to extend its Digital Public Infrastructure (DPI) model to artificial intelligence (AI), aiming for sovereign AI capabilities.

    Sovereign AI Initiative

    • Strategic Direction: Minister of State for Electronics and IT has articulated India’s commitment to developing its own sovereign AI, diverging from solely relying on ecosystems driven by global tech giants.
    • Focus Areas: The government’s AI strategy is based on practical applications in sectors like healthcare, agriculture, and governance, aiming for broader economic impact.

    Tech Governance Solutions so far

    • Global Positioning: India is showcasing itself as a leader in using technology for large-scale governance solutions.
    • Prominent Examples: The country highlights its Aadhaar bio-metric identity program and the Unified Payments Interface (UPI) as key achievements.
    • Digital Public Infrastructure (DPI): This concept involves government-backed technology frameworks that are later expanded upon by private entities for various applications.

    India’s Strategy for AI Control

    • Policy Framework: The National Data Governance Framework Policy, proposed by MeitY, aims to create an India Datasets platform, aggregating non-personal and anonymized government data.
    • Empowering Innovation: This initiative is designed to provide startups and researchers with access to valuable data for AI development and research.
    • Objective: The policy’s goal is to modernize data collection to enhance governance and stimulate an AI-centric startup ecosystem.

    Unified National Data Sharing Platform

    • Report Findings: A recent IT Ministry report highlighted the India datasets program as a key to enabling diverse data sharing and exchange use cases.
    • Data Monetization: The potential monetization of non-personal data is seen as a catalyst for innovation and growth in the AI sector.

    Regulating AI in India

    • Legislative Outlook: India’s future AI governance laws are expected to reflect the significant role AI plays in the digital economy.
    • Regulatory Approach: The government plans a hybrid regulatory model, incorporating elements of both European and American frameworks.
    • Tech Giants’ Data Sharing: A proposed directive, part of the draft Digital India Bill, may require major tech companies to contribute non-personal data to a government database.
    • Legislative Timeline: The Digital India Bill is anticipated to be a focus for the government post the 2024 general elections.
    • Committee Recommendations: A MeitY-appointed committee suggested utilizing aggregated non-personal data for economic gains, identifying specific high-value datasets for this purpose.

    Conclusion

    • In its pursuit of sovereign AI and robust digital public infrastructure, India is positioning itself as a key player in the global AI domain.
    • The focus on practical AI applications, combined with a balanced regulatory approach, aims to foster innovation, ensure effective data governance, and drive economic growth.

  • What is Project Q*, the AI breakthrough from OpenAI?

    Central Idea

    • OpenAI, a leading AI technology company, has been embroiled in a high-profile controversy following the dismissal of Sam Altman, its CEO.
    • At the heart of the controversy is the development of a new AI model named Q* (Q-star), which has raised significant concerns among OpenAI staff and the broader tech community.

    What is Project Q*?

    • Advanced AI Algorithm: Q* represents a significant advancement in AI, capable of solving complex mathematical problems, even those outside its training data.
    • Step towards AGI: This model is seen as a stride towards Artificial General Intelligence (AGI), capable of performing any intellectual task that a human can.
    • Development Team: The breakthrough is attributed to Ilya Sutskever, with further development by Szymon Sidor and Jakub Pachoki.

    Why is Q* Feared?

    • Potential for Accelerated Scientific Progress: Researchers have expressed concerns about Q*’s ability to rapidly advance scientific discovery, questioning the adequacy of existing safety measures.
    • Internal Warnings: Reports suggest that Q*’s capabilities could pose a threat to humanity, a concern believed to be a major factor in Altman’s dismissal.

    Concerns Surrounding Project Q*

    • Advanced Reasoning and Abstract Understanding: Q* reportedly exhibits unprecedented logical reasoning and understanding of abstract concepts, raising concerns about unpredictable behaviors.
    • Combination of AI Methods: According to researcher Sophia Kalanovska, Q* might merge deep learning with human-programmed rules, enhancing its power and versatility.
    • AGI Implications: As a step towards AGI, Q* could surpass human capabilities in various domains, leading to control, safety, and ethical issues.
    • Capability for Novel Idea Generation: Unlike existing AI models, Q* could potentially generate new ideas and pre-emptively solve problems, leading to decisions beyond human control or understanding.
    • Risks of Misuse and Unintended Consequences: The advanced capabilities of Q* heighten the risk of misuse or unforeseen harmful outcomes.