Operation Chakra
CBI Launched Operation Chakra-V against Transnational Organized Cybercrime/Digital Arrests.
- Launched by the Central Bureau of Investigation (CBI) to combat transnational cyber-enabled financial crimes.
- Collaboration – Involves partnerships with international agencies like INTERPOL, FBI, and national agencies.
- Focus Areas – Targets illegal call centers and cybercrime networks, including cryptocurrency scams.
- Strengthens India’s internal security and international cooperation against cybercrime
rt-LAMP (Reverse Transcriptase Loop-Mediated Isothermal Amplification)
Researchers have tested the real-time LAMP (Loop Mediated Isothermal Amplification) or rt-LAMP method for early and accurate diagnosis of tuberculosis (TB).
- A nucleic acid-based diagnostic test for detecting pathogens, including COVID-19.
- Advantages – Rapid (results in 45-60 minutes), cost-effective, and deployable in basic lab setups.
- Comparison – Unlike RT-PCR, it requires minimal expertise and infrastructure.
- Significance – Enhances accessibility to diagnostics in remote locations
Exercise Dustlik
6th edition of Exercise Dustlik started in Pune, Maharashtra.
- Annual joint military exercise between India and Uzbekistan.
- Objective – Focuses on counter-terrorism operations in semi-urban terrain under a UN mandate.
- 1st held in 2019; alternates between India and Uzbekistan.
Surat Emission Trading Scheme
A recent study shows Surat ETS reduced pollution by 20–30% and cut compliance costs for industries.
- World’s 1st market for trading particulate matter emissions, initiated in Surat, Gujarat.
- Mechanism – Cap-and-trade system where industries buy and sell emission permits.
- Objective – Reduces pollution while minimizing compliance costs for industries.
- Innovative approach to environmental regulation and pollution control
Tensor Processing Unit
Google recently launched its 7th-generation TPU, called Ironwood, designed to enhance performance of AI models.
- Specialized hardware developed by Google for AI tasks, focusing on tensor computations.
- Efficiency: Optimized for neural networks, enabling faster training and execution compared to CPUs and GPUs.
- Applications: Used in AI services like Google Search, YouTube, and DeepMind.
- Revolutionizes AI infrastructure with high-scale computational capabilities