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لا تقع ضحية للمخادعين! تيليمتريو يكتشف ويُميّز هذه القنوات 👉 إذا كنت تريد رؤية العلامة، اشترك

EverythingScience

EverythingScience

الذهاب إلى القناة على Telegram

Discover the best, human-curated science facts, news, discoveries, videos, and more! Chat with us: @EverythingScienceChat Contact: @DigitisedRealitySupport

إظهار المزيد
لم يتم تحديد البلدحقائق666

📈 نظرة تحليلية على قناة تيليجرام EverythingScience

تُعد قناة EverythingScience (@everythingscience) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 21 290 مشتركاً، محتلاً المرتبة 666 في فئة حقائق.

📊 مؤشرات الجمهور والحراك

منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 21 290 مشتركاً.

بحسب آخر البيانات بتاريخ 01 نوفمبر, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار -635، وفي آخر 24 ساعة بمقدار -38، مع بقاء الوصول العام مرتفعاً.

  • حالة التحقق: غير موثّقة
  • معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 3.43‎%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 1.81‎% من ردود الفعل نسبةً إلى إجمالي المشتركين.
  • وصول المنشورات: يحصل كل منشور على متوسط 732 مشاهدة. وخلال اليوم الأول يجمع عادةً 386 مشاهدة.
  • التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 5.

📝 الوصف وسياسة المحتوى

يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
“Discover the best, human-curated science facts, news, discoveries, videos, and more! Chat with us: @EverythingScienceChat Contact: @DigitisedRealitySupport”

بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 02 نوفمبر, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة حقائق.

21 290
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-3824 ساعات
-4577 أيام
-63530 أيام
أرشيف المشاركات
Solving brain dynamics gives rise to flexible machine-learning models Last year, MIT researchers announced that they had built "liquid" neural networks, inspired by the brains of small species: a class of flexible, robust machine learning models that learn on the job and can adapt to changing conditions, for real-world safety-critical tasks, like driving and flying. The flexibility of these "liquid" neural nets meant boosting the bloodline to our connected world, yielding better decision-making for many tasks involving time-series data, such as brain and heart monitoring, weather forecasting, and stock pricing. But these models become computationally expensive as their number of neurons and synapses increase and require clunky computer programs to solve their underlying, complicated math. And all of this math, similar to many physical phenomena, becomes harder to solve with size, meaning computing lots of small steps to arrive at a solution. Now, the same team of scientists has discovered a way to alleviate this bottleneck... Article @EverythingScience

Engineers solve a mystery on the path to smaller, lighter batteries A discovery by MIT researchers could finally unlock the door to the design of a new kind of rechargeable lithium battery that is more lightweight, compact, and safe than current versions, and that has been pursued by labs around the world for years. The key to this potential leap in battery technology is replacing the liquid electrolyte that sits between the positive and negative electrodes with a much thinner, lighter layer of solid ceramic material, and replacing one of the electrodes with solid lithium metal. This would greatly reduce the overall size and weight of the battery and remove the safety risk associated with liquid electrolytes, which are flammable. But that quest has been beset with one big problem: dendrites. Article @EverythingScience

Wormholes May Already Have Been Detected, Physicists Say Hypothetical bridges connecting distant regions of space (and time) could more or less look like garden variety black holes, meaning it's possible these mythical beasts of physics have already been seen. Thankfully however, if a new model proposed by a small team of physicists from Sofia University in Bulgaria is accurate, there could still be a way to tell them apart. Article @EverythingScience

Cosmic chocolate pralines? General neutron star structure revealed The study of the sound speed has revealed that heavy neutron stars have a stiff mantle and a soft core, while light neutron stars have a soft mantle and a stiff core—much like different chocolate pralines. Article @EverythingScience

NASA's Webb catches fiery hourglass as new star forms Article #Webb @EverythingScience

Earth at 8 billion: Consumption not crowd is key to climate Article @EverythingScience