13.2K subscribers
3 photos
1 video
53.3K links
🔮Science Updates Daily!
🔮Every post with Source Link!
🔮This is 24/7 Working Channel!
🔮Each post is shared from Renowned Websites!

Buy ads: https://telega.io/c/Science_News_Facts_Updates_daily

admin : @The_Lawliet
Download Telegram
Science News
Video gaming often sparks debate over harms and benefits. Cognitive difficulties are linked to problematic gaming habits rather than the act of gaming itself. While people at risk for gaming addiction show reduced working memory, those who play recreationally…
🎮 Problematic gaming habits are linked to cognitive difficulties like reduced working memory, not recreational play itself.

🧠 Recreational gamers may actually show enhanced attention, while those at risk for gaming disorder struggle with basic working memory tasks and exhibit impulsivity.

💡 The study, published in Computers in Human Behavior, suggests cognitive struggles are selective to those who've lost control over gaming, rather than inherent to playing.

#Gaming #Tech #Psychology
Science News
New Study: AI’s Carbon Footprint Could Rival Entire Countries Read Full Article #AIFootprint #ClimateTech #Sustainability
🌍 A December 2025 study in Patterns by Alex de Vries-Gao estimates AI systems could cause 32.6-79.7 million tons of CO2 emissions and 312.5-764.6 billion liters of water consumption in 2025.

📊 The wide range in estimates is due to major AI infrastructure operators not publicly sharing crucial data, making responsible environmental management impossible.

💡 While AI can aid grid decarbonization and renewables integration, the rapid growth of AI demand outpaces grid improvements, making the net environmental balance unclear without industry data transparency.

#AI #Environment #Tech
Science News
Highly accurate content recommendation algorithms may accidentally make our entertainment feel boring over time. Injecting a small amount of randomness tends to improve long-term user satisfaction. This helps people discover new tastes before they grow tired…
* 🎶 A recent study in the Journal of Cultural Economics suggests that overly accurate recommendation algorithms might lead to entertainment boredom by limiting discovery of new tastes.

* 💡 Researcher Samsun Knight's theoretical model indicates that introducing a small amount of randomness can boost long-term user satisfaction, helping people discover new favorites before tiring of old ones.

* 📈 The study, using a mathematical model simulating taste evolution over years, found that algorithms prioritizing short-term engagement can create monotonous loops, while less precise systems with intentional exploration can lead to greater appreciation of new content.

#Tech #Algorithms #Entertainment

(⚠️ Formatting disabled due to Markdown error)
Science News
Streaming services, like Spotify/ Netflix have recommendation algorithms identify content a user engaged with most and suggest more of same. Content/ genres with low engagement get dropped. But engagement-driven curation can trap consumers in 'overfamiliarity'…
▶️ Streaming services' focus on short-term engagement risks staleness by over-recommending familiar content, potentially hindering the development of new tastes and artistic movements.

📈 Research by Prof. Samsun Knight at the University of Toronto suggests algorithms may mistakenly attribute user preferences to fixed tastes rather than content they were previously served.

💡 Prof. Knight proposes more aggressive exploration of less-familiar content and human-driven recommendations to foster discovery and prevent creative stagnation.

#Streaming #Tech #Business