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Tesla’s robotaxi fleet, powered by new self-driving software, is slated to launch this year. The Cybercab, however, won’t roll out until at least 2026.
In a bid to solidify the United States’ lead in artificial intelligence, the Trump administration announced a joint venture between Nvidia, OpenAI, Microsoft and others.
This high-profile AI model from the Chinese startup DeepSeek achieves comparable results to its American counterparts — at a fraction of the operating cost.
With its Cosmos platform, Nvidia is bringing generative AI to the world of robotics, enabling developers to train their machines on hyperrealistic synthetic data.
Amazon Nova is a set of foundation models developed by Amazon, designed to compete against heavy hitters like Claude, Gemini, GPT-4o and Llama.
The newly inaugurated president could bring big changes to the artificial intelligence industry, including deregulation, more tariffs and a replacement for Biden’s executive order — all aimed at strengthening America’s position over China in AI.
From local startups to international giants, Ahmedabad has attracted software companies from all over the world. Read on to learn more.
Mumbai is one of India’s most important economic hubs, attracting major companies working in technology, pharmaceuticals, retail and more. Keep reading to learn more about them.
Open source AI takes a collaborative approach to artificial intelligence development, making essential components like source code, model weights and, at times, training data available for the public to use, modify and improve upon.
Artificial intelligence enables machines to learn, solve problems and create like humans. It’s a complex field, with many technologies working in tandem. In this article, we’ll unpack the fundamentals of AI and explore how it is shaping our future.
AI bias is a mirror for human bias, amplified by the rapid scale at which artificial intelligence operates. Tackling it requires a comprehensive approach, where developers actively work to build systems that minimize discrimination and inequality.
Supervised learning teaches AI models to predict outcomes using labeled data, while unsupervised learning explores unlabeled data to discover hidden patterns and insights.