Inside Universities - Ethiopia

21/06/2025

32 million birr worth bridge in another part of Ethiopia - Horro Guduru, Wollega!

21/06/2025

J. Trump’s statement has no substantial evidence that shows the U.S. Government financed the construction of the Grand Ethiopian Renaissance Dam (GERD). On the contrary, these are the facts:

✅ Primarily funded by Ethiopians through and other internal sources.

✅ Not financed by the World Bank, IMF, or any major Western donor due to regional disputes.

In fact, the U.S. under the administration suspended aid to Ethiopia in 2020 over disagreements related to .

https://truthsocial.com//114717932061341718

14/06/2025

Ethiopian government spent 26 million birr for the construction of this bridge!

《ይሄ #በጎጃም (ደምበጫ) በ26 ሚሊየን ብር ተገነባ የተባለው ድልድይ::》😅

This is for to comment on it!

01/06/2025

1992 but we believe Ethiopia is more than this and colonial borders should be removed!

01/06/2025

09/05/2025

05/05/2025

21/04/2025

ለሀይማኖት እና ለሀይማኖት በዓላት በሚያጠፋው ጊዜ ሀብት የሚገኝ ቢሆን ኖሮ ኢትዮጵያውያን በምድር ላይ ካሉት ሀብታም ሀገራት ተርታ ይሰለፋሉ።

03/04/2025

The seven years and of !

03/04/2025

Physics-Informed Neural Networks (PINNs) are a type of neural network that incorporate physical laws, often expressed as differential equations, into the learning process to solve forward and inverse problems involving partial differential equations (PDEs).

PINNs are a deep learning framework that combines data and physical knowledge to solve problems described by PDEs.

They are a powerful tool that blends deep learning with physics-based modeling.

They use neural networks to approximate solutions to PDEs, incorporating physical constraints (like differential equations) into the loss function to guide the learning process towards physically consistent solutions.

PINNs have been used in various fields, including fluid mechanics, solid mechanics, heat transfer, and biomedical engineering.

PINNs are being explored in Computational Fluid Dynamics (CFD), heat transfer, and structural mechanics to improve accuracy and computational efficiency.

While promising, challenges like training stability, handling complex geometries, and computational cost remain areas of active research.

Source: Wikipedia

27/03/2025

Now you know why nations compete for space exploration!