From Scratch to Fine-Tuned: A Comparative Study of Transformer Training Strategies for Legal Machine Translation

Emversity, an Indian startup focused on job-ready training, has successfully raised $30 million in a new funding round, doubling its valuation as it aims to scale its operations in a market increasingly focused on skills that artificial intelligence cannot replace.

Researchers at the University of Surrey have developed the world's first dataset designed to enhance English-to-Malayalam machine translation, addressing a significant gap for this low-resource language spoken by over 38 million people in India.

A new dataset named IndRegBias has been introduced to study regional biases in English and code-mixed comments on social media platforms like Reddit and YouTube, focusing on Indian contexts. This dataset comprises 25,000 comments that reflect regional biases, which have been less explored compared to other social biases such as gender and race.

A new study presents an Edge-AI perception node designed for real-time traffic violation analytics and safety event dissemination in India, addressing the challenges posed by rapid motorization and a significant enforcement gap, with over 11 million violations recorded in 2023.

India is proposing a licensing fee for AI companies that utilize copyrighted data for training, aiming to ensure creators are compensated and to reduce legal disputes. This initiative reflects a growing recognition of the need to protect intellectual property in the rapidly evolving AI landscape.