Abstract: Traditional radar imaging methods based on point target models fail to achieve ideal results for extended targets, while simultaneously using multiple models introduces redundancy. This ...

Tiiny AI argues that today’s real AI bottleneck is not computing power but our reliance on the cloud. GTM director Samar Bhoj says, “intelligence shouldn’t belong to data centers, but to people.” By ...

Yet the performance of China’s leading model, MiniMax M2, reached 90% of GPT-5 Codex high, the most advanced U.S. model at the time. Jefferies said the performance gap between top frontier models from ...

China’s AI models are quickly gaining traction in Silicon Valley, becoming integral to the operations of American companies and earning the praise of a growing list of tech leaders. Their rapid ascent ...

Another day in late 2025, another impressive result from a Chinese company in open source artificial intelligence. Chinese social networking company Weibo's AI division recently released its open ...

On Wednesday, Anthropic released Claude Haiku 4.5, a small AI language model that reportedly delivers performance similar to what its frontier model Claude Sonnet 4 achieved five months ago but at one ...

DeepSeek's R1 model attracted global attention in January Article in Nature reveals R1's compute training costs for the first time DeepSeek also addresses claims it distilled OpenAI's models in ...

Microsoft Research has developed a new reinforcement learning framework that trains large language models for complex reasoning tasks at a fraction of the usual computational cost. The framework, ...

DeepSeek turned the tech world on its head last month – and for good reason, according to artificial intelligence experts, who say we’re likely only seeing the beginning of the Chinese tech startup’s ...

AI researchers at Stanford and the University of Washington were able to train an AI “reasoning” model for under $50 in cloud compute credits, according to a new research paper released last Friday.