iPad Pro M5 has fully leaked
- Up to 15% faster CPU
- Up to 34% faster GPU
- 12gb ram on base model
- Same design & Display as M4
- Up to 15% faster CPU
- Up to 34% faster GPU
- 12gb ram on base model
- Same design & Display as M4
❤4
Nothing Phone 3 price in India further deteriorates due to less sales. It is officially available to purchase for Rs.40,000 (~450$) without using any bank offer or any exchange offer.
Phone 3 was launched in July for Rs.85,000 (~950$) and when the sale started on 23rd September, it came down to Rs. 50,000 (~575$) and now after 1 week of sale, the price is further decreased by Rs.10,000 (~120$)
Never seen a modern flagship smartphone lose 50% value officially in 3 months and all those who exchanged their old devices to get it at this price have been scammed successfully 🥀
Phone 3 was launched in July for Rs.85,000 (~950$) and when the sale started on 23rd September, it came down to Rs. 50,000 (~575$) and now after 1 week of sale, the price is further decreased by Rs.10,000 (~120$)
Never seen a modern flagship smartphone lose 50% value officially in 3 months and all those who exchanged their old devices to get it at this price have been scammed successfully 🥀
❤6✍2🤯1
🚦 NIT Rourkela’s AI Model for Road Safety
🏫 Institution & Patent
- Developed by NIT Rourkela
- Patent: “Adaptive Contention Window Optimisation in VANETs using Multi-Agent Deep Reinforcement Learning for Enhanced Performance Model”
🚘 VANETs Explained
- Vehicular Ad-Hoc Networks (VANETs) allow vehicles to communicate with each other (V2V) and roadside units (V2I).
- Purpose: share alerts on sudden braking, road obstacles, congestion, and accidents.
- Problem: too many signals at once → congestion → delays or lost alerts.
🤖 The AI Solution
- Uses Multi-Agent Deep Reinforcement Learning (MADRL).
- Each vehicle learns when to transmit messages.
- Urgent alerts are prioritized.
- Prevents “communication traffic jams.”
- Ensures critical info arrives on time.
📊 Why It Matters
- India’s 2023 stats: 4.8 lakh accidents, 1.72 lakh deaths.
- Model impact:
- Faster emergency alerts
- Reduced collisions
- Smoother traffic flow
- Foundation for autonomous vehicles & smart cities
🌐 Applications
- 🚦 Electronic Brake Lights – warns cars behind instantly
- 🚚 Platooning – vehicles move in sync, saving fuel & time
- 🗺️ Real-Time Traffic Updates – dynamic rerouting to avoid jams
- 🚑 Emergency Services – faster hazard broadcasts
- 💳 Smart Payments – seamless tolls & retail transactions
- 🏙️ Smart Cities – integration with IoT & navigation systems
👩🔬 The Team
- Dr. Arun Kumar – Assistant Professor, CSE
- Prof. Bibhudatta Sahoo – Professor, CSE
- Dr. Lopamudra Hota – Research Graduate, CSE
🏫 Institution & Patent
- Developed by NIT Rourkela
- Patent: “Adaptive Contention Window Optimisation in VANETs using Multi-Agent Deep Reinforcement Learning for Enhanced Performance Model”
🚘 VANETs Explained
- Vehicular Ad-Hoc Networks (VANETs) allow vehicles to communicate with each other (V2V) and roadside units (V2I).
- Purpose: share alerts on sudden braking, road obstacles, congestion, and accidents.
- Problem: too many signals at once → congestion → delays or lost alerts.
🤖 The AI Solution
- Uses Multi-Agent Deep Reinforcement Learning (MADRL).
- Each vehicle learns when to transmit messages.
- Urgent alerts are prioritized.
- Prevents “communication traffic jams.”
- Ensures critical info arrives on time.
📊 Why It Matters
- India’s 2023 stats: 4.8 lakh accidents, 1.72 lakh deaths.
- Model impact:
- Faster emergency alerts
- Reduced collisions
- Smoother traffic flow
- Foundation for autonomous vehicles & smart cities
🌐 Applications
- 🚦 Electronic Brake Lights – warns cars behind instantly
- 🚚 Platooning – vehicles move in sync, saving fuel & time
- 🗺️ Real-Time Traffic Updates – dynamic rerouting to avoid jams
- 🚑 Emergency Services – faster hazard broadcasts
- 💳 Smart Payments – seamless tolls & retail transactions
- 🏙️ Smart Cities – integration with IoT & navigation systems
👩🔬 The Team
- Dr. Arun Kumar – Assistant Professor, CSE
- Prof. Bibhudatta Sahoo – Professor, CSE
- Dr. Lopamudra Hota – Research Graduate, CSE