Current Affairs - Technology

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Exercise : Technology - Latest Current Affairs
  • Technology - Latest Current Affairs
1.
In which year is ISRO’s Chandrayaan-4 lunar sample-return mission scheduled to be launched?
2026
2027
2028
2029
Answer: Option
Explanation:
Chandrayaan-4, India’s first lunar sample-return mission, is scheduled for launch in 2028 as part of ISRO’s expanded roadmap for deep space exploration. The mission is expected to collect and bring back lunar soil and rock samples, placing India among the few nations capable of executing such a technically advanced operation. The timeline aligns with ISRO’s broader goals, which include tripling spacecraft production, increasing launch frequency, advancing human spaceflight through the Gaganyaan program, and establishing the initial module of an Indian Space Station by 2028. These efforts collectively strengthen India’s scientific capabilities and elevate its position in the global space sector.

2.
What is India’s global position as a patent filer according to the latest announcement?
4th
6th
8th
10th
Answer: Option
Explanation:
India has reached the 6th position globally in patent filings, marking a major leap in its innovation journey. With over 64,000 patent applications submitted—more than half by resident innovators—the country is strengthening its intellectual property ecosystem. This rise reflects the impact of a vibrant start-up culture, supportive government policies, and increased emphasis on applied sciences and skill development. The improvement in India’s rank on the Global Innovation Index, from 81st to 38th, further reinforces this upward trajectory. Collectively, these achievements demonstrate India’s transition from being primarily a consumer of technology to an emerging global creator and contributor in research, innovation and IP generation.

3.
What is the name of the AI-based system introduced by Indian Railways to monitor wagon door locking status in real time?
SURAKSHA
DRISHTI
NETRA
TRINETRA
Answer: Option
Explanation:
The Indian Railways has introduced an advanced AI-powered system called DRISHTI to enhance the safety and monitoring of freight operations. This system uses real-time surveillance supported by computer vision technology to keep track of the locking status of wagon doors, ensuring better security and operational efficiency. DRISHTI was created through collaborative innovation between the Northeast Frontier Railway (NFR) and IIT Guwahati – TIDF. By integrating artificial intelligence with railway logistics, the system aims to reduce human error, improve monitoring accuracy, and offer a proactive approach to safeguarding freight movement across the network.

4.
Which pair of space missions has contributed to refining estimates of Earth-like planet frequency, thereby supporting the Rare Earth Hypothesis?
Voyager 1, Voyager 2
Hubble, Chandra
Kepler, James Webb Telescope
Cassini, New Horizons
Answer: Option
Explanation:
Kepler and the James Webb Telescope have significantly advanced the study of exoplanets by providing detailed data about distant planetary systems. Their observations help scientists estimate how frequently Earth-like planets occur in the galaxy. This evidence strengthens the Rare Earth Hypothesis, which suggests that while simple microbial life may be relatively common, complex life requires a highly specific combination of planetary conditions. These include stable orbital dynamics, a strong magnetic field, plate tectonics, and the presence of a large moon. By improving the understanding of how rare such conditions may be, the findings support the hypothesis that complex life is exceptionally uncommon.

5.
Which institution developed India’s first Quantum Diamond Microscope under the National Quantum Mission?
IISc Bengaluru
IIT Delhi
IIT Bombay
ISRO
Answer: Option
Explanation:
IIT Bombay, through its P-Quest Group, developed India’s first Quantum Diamond Microscope, marking a major milestone in indigenous quantum technology. The microscope leverages nitrogen-vacancy centers in diamond to perform advanced magnetic imaging with nanoscale precision. Its ability to visualise 3D magnetic fields using optically detected magnetic resonance makes it a powerful tool across scientific domains. Potential applications range from studying neural activity in neuroscience to analyzing magnetic properties of materials and performing non-destructive 3D mapping of semiconductor chips. This achievement strengthens India’s technological capabilities under the National Quantum Mission and advances research in cutting-edge quantum sensing technologies.