Award-Winning CTO Gaurav Sharda Advances AI-Driven Modernization in Special-Needs Student Transportation Nationwide

A recent study analyzed the ability of Large Language Models (LLMs) to predict gender based on online shopping data, revealing that while models can classify gender with moderate accuracy, their predictions often reflect underlying biases and stereotypes. This research highlights the potential for LLMs to perpetuate gender biases present in their training data.

Donald Trump signed an executive order aimed at preventing states from regulating artificial intelligence (AI), establishing a federal taskforce to challenge state laws on the technology. The order reflects the administration's intent to create a unified regulatory framework for AI, which the president argues is essential for fostering innovation and investment in the sector.

DeepSeek's recent study highlights the cultural alignment of Large Language Models (LLMs), particularly focusing on how prompt language and cultural prompting affect their outputs. The research utilized Hofstede's VSM13 international surveys to analyze the alignment of models like DeepSeek-V3 and OpenAI's GPT-5 with cultural responses from the United States and China, revealing a significant alignment with the U.S. but not with China.