General Awareness

SCIENCE & TECHNOLOGY - July 2017

Jul 2017

Nov 08, 2024

C-DOT and IIT Roorkee Signs Agreement for "Development of Polymer Based Low-Cost Millimeter Wave ...

Centre for Development of Telematics (C-DOT), the premier Telecom R&D centre of the Department of Telecommunications (DoT), Government of India signed an agreement with the Indian Institute of Technology Roorkee (IIT Roorkee) for the development of "Millimeter Wave Transceiver for 5G Rural Connectivity ".
The agreement was signed under the Telecom Technology Development Fund (TTDF) scheme of the Department of Telecommunications, Government of India. This scheme, designed to fund Indian start-ups, academia, and R&D institutions, is a crucial enabler for designing, developing, and commercialising telecommunication products and solutions. It aims to enable affordable broadband and mobile services, playing a significant role in bridging the digital divide across India.

Zimbabwe Launches ZIMSAT-2 to Advance Space Programme

Zimbabwe launched its second satellite, ZIMSAT-2, from the Vostochny Cosmodrome in Russia, a major milestone in the country's growing space programme. This satellite, equipped with a high-resolution multispectral camera, will aid in agriculture, resource exploration, environmental monitoring, and disaster management. It follows the successful launch of Zimbabwe's first satellite, ZIMSAT-1, in November 2022, marking continued progress in space technology and innovation.
The satellite is designed to deliver high-resolution data that will benefit sectors such as agriculture by monitoring crop health, predicting yields, and addressing nutrient deficiencies. Additionally, it will enhance resource mapping, environmental surveillance, and disaster management efforts across the nation.

Nov 06, 2024

Japan Launches World's First Wooden Satellite, LignoSat, into Space

The world's first wooden satellite, LignoSat, was launched by Japanese scientists to understand the feasibility of timber in space.
Kyoto University and homebuilder Sumitomo Forestry jointly developed the wooden satellite, LignoSat, and sent it to the International Space Station (ISS) on a SpaceX mission. The satellite will be positioned approximately 400 kilometres above Earth.

Nov 05, 2024

ISRO Begins Groundbreaking Analogue Space Mission in Leh

ISRO announced the launch of its analogue space mission in Leh, Ladakh. This innovative mission aims to simulate life in an interplanetary habitat, addressing the challenges associated with establishing a base station beyond Earth. Through this initiative, ISRO seeks to gather insights and prepare for future space exploration endeavours.
The mission is developed through a partnership involving, Human Spaceflight Center, ISRO, AAKA Space Studio, University of Ladakh, IIT Delhi and Supported by the Ladakh Autonomous Hill Development Council.
The mission aims to replicate environmental conditions similar to those found on Mars and the Moon, considering Ladakh's unique climate and geography.
It focuses on the extreme temperatures of the region, which range from 3 to 35 °C in summers and −20 to −35 °C in winters, with heavy snowfall in winter months.

Oct 31, 2024

China's Only Woman Spaceflight Engineer among Crew To Tiangong Space Station

Three Chinese astronauts including the country's only woman spaceflight engineer blasted off on a "dream" mission to the Tiangong space station.
The new Tiangong team will carry out experiments with an eye to the space programme's ambitious goal of placing astronauts on the Moon by 2030 and eventually constructing a lunar base.
Among the crew is Wang Haoze who is China's only female spaceflight engineer, according to the China Manned Space Agency (CMSA). She is the third Chinese woman to take part in a crewed mission.

Oct 29, 2024

Sarvam AI Launches New Language Model for Indian Languages

Bengaluru-based start-up Sarvam AI launched a new large language model, Sarvam 1. The AI model is open-source and has been trained on 11 languages including Bengali, Gujarati, Hindi, Marathi, Malayalam, Kannada, Oriya, Tamil, Telugu, Punjabi and English.
The 2-billion-parameter model was trained on 4 trillion tokens on a custom tokeniser curated by Sarvam on Nvidia H100 Tensor Core GPUs. The company claims that the tokeniser is up to four times more efficient than other AI models which were trained on Indian languages.

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