Will India Finally Hit the Deep Tech Sweet Spot in 2026?

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.

Recent advancements in artificial intelligence (AI) and high-throughput testing have unveiled the stability limits of organic redox flow batteries, showcasing the potential of these technologies to enhance scientific research and innovation.

AI models are increasingly proficient at identifying software vulnerabilities, prompting experts to suggest that the tech industry must reconsider its software development practices. This advancement indicates a significant shift in the capabilities of AI technologies, particularly in cybersecurity.

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 recent study published on arXiv investigates the generalization capabilities of AI-generated text detectors, revealing that while these detectors perform well on in-domain benchmarks, they often fail to generalize across various generation conditions, such as unseen prompts and different model families. The research employs a comprehensive benchmark involving multiple prompting strategies and large language models to analyze performance variance through linguistic features.

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.

A recent study has introduced a principled design for interpretable automated scoring systems aimed at large-scale educational assessments, addressing the growing demand for transparency in AI-driven evaluations. The proposed framework, AnalyticScore, emphasizes four principles of interpretability: Faithfulness, Groundedness, Traceability, and Interchangeability (FGTI).