While coding is not the area where could determine the true capability of DeepSeek, we decided to ask some simple yet important questions about the history of China and India. Here’s how it fared

The launch of DeepSeek R1 has sparked diverse reactions across the tech world. As a new AI model from China, it challenges existing giants and raises questions about future AI dynamics.

Its AI research firm DeepSeek unveiling the first generation large language model 'DeepSeek-R1-Zero' is a direct challenge to overcome the US's hegemony in the generative artificial intelligence domain with ChatGPT,

Chinese start-up DeepSeek is as powerful as ChatGPT and purportedly uses much less computing power. Will this competition spur US companies to greater things?

A looming ban on TikTok set to take effect on Sunday presents a multibillion-dollar headache for app store operators Apple and Google.

Chinese-built large language model, DeepSeek-R1, is significantly cheaper than comparable AI models of Open AI’s ChatGPT or Google Gemini, almost as g

Despite the American government’s efforts to hold back China’s AI industry, two Chinese firms had reduced their American counterparts’ technological lead to a matter of weeks. It is not just with reasoning models that Chinese firms are in the vanguard: in December DeepSeek published a new large language model ( LLM ),

Users told that American requests for images of sensitive areas should be ignored over national security concerns.

The Chinese AI startup claims that it delivers comparable results to OpenAI’s o1 across various benchmarks, including mathematics, coding, and reasoning tasks. Notably, it even outperforms OpenAI’s o1 in certain areas,

Can the $500B Stargate Project secure U.S. AI dominance? This is a 21st-century moonshot the U.S. cannot afford to miss.

The constraints on chips in China forced the DeepSeek engineers to ... He says it is comparable to the latest systems from OpenAI, Google and the San Francisco start-up Anthropic — and ...

V3, achieving performance comparable to top AI systems from OpenAI and Google with significantly fewer computing resources. This innovation, achieved with about $6 million in computing power, emphasizes efficient resource utilization and the potential of smaller players in the AI ecosystem.