India must develop its own Large Language Models (LLMs) to protect national security, bridge the linguistic divide, secure economic growth, and resist 'algorithmic colonization.' This article explores the imperative of indigenous AI for India's digital sovereignty, examining current initiatives, challenges, and the critical need for a collaborative national effort to shape its future.
Veed AI revolutionizes video production with its all-in-one platform. Streamline workflow, leverage AI-powered features like text-to-video, AI avatars, and automated editing. Enjoy drag-and-drop simplicity, stock media access, and branding tools. Repurpose content effortlessly for any platform. Strategic partnerships with OpenAI and Nvidia ensure cutting-edge technology for diverse applications, from marketing to education.
Bessemer Venture Partners closes its second fund for early-stage investments in India, totaling $350 million. The fund will focus on AI-enabled services, SaaS, fintech, digital health, consumer brands, and cybersecurity, continuing Bessemer's nearly two-decade-long investment history in India. It highlights AI and software as key areas, recognizing India's unique approach to foundational model development.
Explore the top coding Large Language Models (LLMs) of 2025, including OpenAI's o3, DeepSeek's R1, Google's Gemini 2.0, Anthropic's Claude 3.7 Sonnet, Mistral AI's Codestral Mamba, and xAI's Grok 3. Discover their strengths, weaknesses, and how they're revolutionizing software development through code generation, debugging, and more.
Explore the rise of Small Language Models (SLMs) and their transformative impact across industries. Discover how SLMs are driving efficiency, innovation, and cost-effectiveness in healthcare, finance, retail, and more. Learn about the key technologies, deployment models, and regional dynamics shaping the future of this rapidly growing market, projected to reach USD 29.64 billion by 2032.
2024 saw a rebound in unicorn creation, with the US leading, driven by AI dominance. Explore the global shift, with 110 new unicorns, contrasting US growth with China's slowdown, and the rise of AI across sectors. Early-stage unicorns also surged, signaling accelerated growth and investor confidence in disruptive technologies, particularly in artificial intelligence ventures.
A study by the Tow Center for Digital Journalism found that many AI search engines struggle to accurately cite news articles. They often fabricate links or fail to provide sources. This raises concerns about the reliability of AI in research, especially among younger users, and highlights the need for critical evaluation and skill development.
The media and entertainment industry is being reshaped by Artificial Intelligence (AI). From content creation to personalized experiences, AI's influence is rapidly expanding. The market, valued at $17.99 billion in 2023, is projected to reach $135.99 billion by 2032, driven by AI-powered analytics, automation, and a surge in demand for AI services.
China's artificial intelligence sector is experiencing explosive growth, fueled by massive data, government support, and a thriving entrepreneurial ecosystem. This surge is transforming industries like e-commerce, manufacturing, healthcare, and autonomous driving, but challenges remain in talent acquisition, data privacy, and geopolitical tensions. China aims to be a global AI leader by 2030.
Meta is partnering with TSMC to produce its first custom-designed AI chip, the Meta Training and Inference Accelerator (MTIA). This move aims to reduce reliance on NVIDIA, cut costs, and boost AI performance. Meta plans to integrate these chips for both training and inference tasks by 2026, reflecting a broader industry trend.
