St. Thomas High School

CCSU Makes 'AI for All' Course Mandatory for First Semester Students from Academic Session 2026-27

Puja-Hawan Organized on First Day of Sharadiya Navratri at Maa Shakumbhari University

Saharanpur:- On the first day of Sharadiya Navratri, a Puja- Hawan ceremony was organized at Maa Shakumbhari University, Saharanpur. The ceremony was organized to seek the blessings of Ma’am Durga. The purpose of the ritual was to pray for the continuous progress of the university, academic excellence, and the well-being of the university family and society. The program began with Vedic chants and traditional rituals. Hon'ble Vice-Chancellor Prof. Vimala Y. participated as the Yajman and performed the Puja- Hawan. On this occasion, the Vice-Chancellor extended heartfelt greetings of Navratri to all members of the university family. She prayed to Goddess Bhagwati for happiness, peace, health, and prosperity for all and for the university to keep moving forward on the path of progress. The religious rituals were performed by Dr. Sanjay Kumar. With Vedic mantras and offerings, the entire atmosphere became devotional and filled with spiritual energy. All those present prayed for positivity, harmony, and a bright future.

Somaiya Conference Explores India’s Scientific Heritage

An international conference at Somaiya Vidyavihar, Mumbai, brought together 236 scholars and researchers to explore India’s scientific heritage, including temple restoration, ancient metallurgy, Ajanta’s water systems, traditional medicine and evidence-based approaches to Indian Knowledge Systems.

IIT Madras Launches 100 Plus Human Brain Mapping Mission

IIT Madras’ Sudha Gopalakrishnan Brain Centre has launched a mission to create cell-resolution 3D maps of more than 100 human brains across the lifespan. Prime Minister Narendra Modi also released C-STROKE, described by the institute as the world’s first human ischemic stroke atlas.

IIT Guwahati Develops Low-Energy Artificial Synapse

Researchers at IIT Guwahati and IIT Kharagpur have developed a light-sensitive artificial synapse that combines visual sensing, memory and information processing. The device consumed 500 times less energy than conventional MXene-based devices in laboratory tests and achieved 90% accuracy in facial recognition.