Telugu LLM Labs is a significant step towards advancing the Telugu language's natural language processing (NLP) capabilities. This project develops advanced language models and tools to empower Telugu speakers and set a precedent for other underrepresented languages in AI.

AI4Bharat introduces the largest speech translation dataset for Indian languages, featuring 44,400 hours of audio across 13 languages. This resource addresses India-specific challenges like code-switching and dialectal diversity, bridging critical gaps in global translation benchmarks and advancing inclusive AI development.

India's agricultural sector is experiencing an AI-driven transformation. With a projected market growth of 23.1% CAGR, AI solutions are empowering farmers with real-time data and automation, addressing challenges like weather unpredictability and labor shortages. Government initiatives and private sector involvement are crucial in fostering this AI-led agricultural revolution in India.

Researchers at Harvard Medical School have developed CHIEF, a highly versatile AI model that excels in diagnosing and predicting outcomes for multiple cancer types. Trained on millions of images, CHIEF can detect cancer cells, forecast tumour genetic profiles, and accurately predict patient survival, outperforming current AI systems.

IIIT-Delhi researchers introduce AgeXtend, an AI-driven platform that marks a significant breakthrough in the quest for longevity by identifying potent and safe anti-ageing compounds.

Meta's new MarDini video diffusion models bring advanced capabilities to video generation, allowing for seamless frame interpolation, dynamic scene creation from a single image, and natural clip extension. This model family enhances content generation by filling in missing frames and creating smooth, continuous sequences, significantly advancing AI-driven video editing.

MIT has unveiled EXPLINGO, a system that enhances AI transparency. It transforms complex AI explanations into easily understandable narrative text.

MIT scientists have developed a method that generates satellite imagery from the future to depict how a region would look after a potential flooding event. The method combines a generative artificial intelligence model with a physics-based flood model to create realistic, birds-eye-view images of a region, showing where flooding is likely to occur given the strength of an oncoming storm.

India’s AI supercomputer AIRAWAT, ranked No. 75 globally in the Top 500 Supercomputing List (ISC 2023), showcases a significant advancement in AI and computational research. With a 13,170 teraflops (Rpeak) peak performance, AIRAWAT, installed at C-DAC Pune, underscores India's drive for technological self-reliance, innovation, and global competitiveness.

Cosmopedia v0.1, the largest open synthetic dataset comprising over 30 million samples and 25 billion tokens, has been released. Mixtral 7b generates diverse content like textbooks and stories and aims to democratize access to high-quality synthetic data for AI research.

A collaboration of researchers, including from the University of Cambridge, has reached a milestone toward training artificial intelligence models to find and use transferable knowledge between fields to drive scientific discovery.

TSLAM-4B is a 4-billion-parameter large language model tailored explicitly for the telecommunications industry. Fine-tuned on telecom-specific data, it integrates domain-relevant knowledge to enhance network operations, infrastructure planning, and customer service automation. With a context length of 128K tokens, TSLAM-4B enables complex, multi-step conversations and decision-making, setting a new standard for AI-driven solutions in telecom.