Text embeddings are a crucial component in AI systems, but they may not perfectly encode text, which can impact the performance of Retrieval Augmented Generation (RAG) systems. Research is needed to address the limitations of text embeddings and develop new techniques for generating more accurate an
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Text embeddings are a crucial component in AI systems, but they may not perfectly encode text, which can impact the performance of Retrieval Augmented Generation (RAG) systems. Research is needed to address the limitations of text embeddings and develop new techniques for generating more accurate an
AI models often reflect and exaggerate existing gender biases, making it essential to quantify and address these biases. Researchers are working to develop methods for measuring and mitigating gender bias in AI models, but there are still gaps in this area that need to be addressed.
DeepSeek AI has published a research paper introducing a novel method for scaling general reward models during inference, while hinting at the imminent arrival of its next-generation R2 model. This breakthrough has significant implications for the development of more advanced and efficient AI models
Zhipu.AI has open-sourced its next-generation General Language Models, including the GLM-4 series and GLM-Z1 inference models, boasting unprecedented inference speeds. This strategic move underscores the company's technological prowess and global ambitions, potentially paving the way for a future IP
A new technical paper from DeepSeek-V3 reveals the secrets of low-cost large model training through hardware-aware co-design. The paper explores the relationship between large language model development and underlying hardware infrastructure, with significant implications for AI development.
Agentic AI is being used in finance to speed up operational automation, with a data-centric foundation being key to driving real value. SEI has partnered with IBM to modernize its internal operations using AI and automation, focusing on process redesign and system updates.
Manulife is integrating AI agents into its core financial workflows, moving beyond data analysis and customer support tools. The company is using a runtime platform to support agentic AI, enabling autonomous actions in complex business environments.
ABB Robotics and Nvidia have partnered to scale industrial physical AI, reducing testing costs and quickening robot deployment through simulation technology. This collaboration is expected to have a significant impact on the manufacturing sector, driving industrial automation and improving efficienc
ADLINK Technology and Under Control Robotics have partnered to develop smart robots for dangerous environments, combining edge AI and autonomy software. The new generation of robots will be designed to operate in demanding industrial settings, focusing on human-like bi-pedal and bi-manual machines.
