🛣️ 158 remote habitations get road access in AP

Road connectivity will be provided for the first time to 158 remote habitations in Andhra Pradesh. This initiative is spearheaded by Deputy Chief Minister K. Pawan Kalyan and will cover areas across various districts. The project includes constructing 146 roads and 19 bridges over a total length of 347 km, sanctioned at ₹422.10 crore. This aims to connect isolated villages to better access for education and healthcare. The Panchayat Raj Engineering Department will execute the works starting now.

🏫 Shivamogga Police bring 250 dropouts back to school

Shivamogga District Police launched the 'Marali Shalege' campaign to reintegrate school dropouts into classrooms. This effort was conducted in coordination with the Department of Education, school authorities, and teachers in Shivamogga. Over the past month, 250 children who had stopped their education midway have been successfully brought back. The police targeted reasons like lack of awareness and migration, aiming to prevent exploitation. Currently, the focus remains on schoolchildren, but the response to the initiative has been encouraging. 📚

📜 Bengal Madrasas get survey about funding

Unmarked survey forms have been distributed to various madrasas across Bengal. This initiative aims to gather detailed information regarding the financial backing of these institutions. The survey process is currently ongoing, with responses expected over the next few weeks. The collected data will help authorities better understand the operational structure of these religious schools. Authorities plan to use this information for regulatory oversight and future planning.

🚨 CBI raids CGST officer in major bribery bust

The CBI's Anti-Corruption Branch conducted searches on Tuesday at the house and office of CGST Superintendent, Banothu Mangamma. She was arrested in Vijayawada after allegedly demanding a ₹1.5 lakh bribe. The CBI registered a case on Monday, August 10, following a complaint regarding the tax liability matter. Officials caught Ms. Mangamma red-handed while accepting ₹50,000 as part of the bribe. Further investigation into the ongoing case is currently taking place. 💰

🎬 Shraddha Kapoor's Eetha shifts release date to December 4

Shraddha Kapoor's biopic Eetha has officially changed its theatrical release date from August 28 to December 4. The film, directed by Laxman Utekar, was originally set against Yash's 'Toxic' in August, but the postponement avoids a major box office clash. With the new slot, Eetha will now compete with an Akshay Kumar and Vidya Balan comedy on December 4. The movie is based on the life of Vithabai Narayangaonkar, a celebrated Tamasha artiste from Maharashtra. The team plans to visit Narayangaon to launch the official trailer, strengthening the film's local connect. 🎭

🌑 Solar Eclipse 2026 & Hariyali Amavasya rituals

A total solar eclipse is scheduled for August 12, 2026, which coincides with Hariyali Amavasya. The eclipse will last about 4 hours and 24 minutes globally, with totality lasting around 1 hour and 32 minutes along its path. However, the India Meteorological Department confirms the eclipse will not be visible from anywhere in India. Since the event happens at night over India, no eclipse restrictions are necessary for the Amavasya rituals. Devotees can proceed with traditional practices like Pitru Tarpan as usual. 🌙

🔬 GRHL2 might be key to diabetic foot ulcer healing

Negative pressure wound therapy (NPWT) might repair diabetic foot ulcers through GRHL2-driven cell fate changes. Researchers analyzed RNA sequencing data from diabetic foot ulcers to uncover this potential molecular mechanism. The analysis identified 975 dysregulated genes, with GRHL2 consistently selected across multiple machine learning algorithms. Findings suggest NPWT activates GRHL2, driving mesenchymal fibroblasts to convert into supraspinous keratinocytes during repair. This proposes a new signaling axis, suggesting GRHL2 is a target for future investigation. 🔬

🤖 Mova V50 Ultra: Smart Robot Vac Review

The Mova V50 Ultra robotic vacuum cleaner was tested for 30 days in a 1,600 sq. ft. 3BHK home. This premium device offers standard to intense cleaning, along with customized vacuuming and mopping capabilities. Priced at ₹87,999, it features retractable LiDAR and AI SmartSight for precise navigation. The robot performs well on everyday dust and spills, utilizing zonal cleaning for convenience. Future use will likely involve seamless integration into daily routine maintenance. 🤖

🤖 Nvidia drops open-source AI model, Nemotron 3.5 Lightning

Nvidia has unveiled Nemotron 3.5 Lightning, their first open-source AI model since CEO Jensen Huang made public statements on the topic. This release comes from Nvidia in San Jose, California, and is free for anyone to download and modify. The model is designed to run on a single PC GPU, which is a big deal for accessibility. This move directly addresses debates sparked by China's Kimi K3 and pushes for open AI development. Nvidia is betting that free AI will boost hardware sales and spur competition across the industry.

✨ Hope arrives for 3 zodiac signs on Aug 12

Three zodiac signs are experiencing a powerful wave of hope starting on Wednesday, August 12, 2026. This positive shift is occurring as Mercury in Leo forms a trine with Neptune in Aries. Aries will feel optimism from Neptune in their sign, while Scorpio will see possibilities rapidly transform their world. Aquarius will receive clear proof of a bright future, especially through creativity during this transit. This celestial alignment encourages embracing positivity and looking forward to better times.

🔬 AI models get physics smart for real-world simulations

AI models are now simulating a much broader spectrum of real-world scenarios by incorporating a better grasp of physics. This advanced capability was developed by researchers in a recent study. The models demonstrated improved accuracy across complex physical interactions, showing potential applications. This development moves AI closer to understanding complex, dynamic environments. Future research aims to integrate even more nuanced physical laws into these AI systems.