Design intelligent AI agents with retrieval-augmented generation, memory components, and graph-based context integration.

While previous embedding models were largely restricted to text, this new model natively integrates text, images, video, audio, and documents into a single numerical space — reducing latency by as muc ...

AT&T's chief data officer shares how rearchitecting around small language models and multi-agent stacks cut AI costs by 90% at 8 billion tokens a day.

I tested 20+ Linux desktop AI companions—several match or beat Copilot depending on use case. Newelle, LM Studio, PyGPT, and Jan.ai stand out for supporting local models, offline use, and more ...

AI’s power is premised on cortical building blocks. Retrieval-Augmented Generation (RAG) is one of such building blocks enabling AI to produce trustworthy intelligence under a given condition. RAG can ...

Exploring AI-generated content and professional guidelines in cancer symptom management: A comparative analysis between ChatGPT and NCCN guidelines. Performance of various RAG-LLMs for clinical trial ...

AI in architecture is moving from experimentation to implementation. An AJ webinar supported by CMap explored how practices are applying these tools to live projects, construction delivery and operati ...

Hanshow has launched a multi-year research partnership with the University of Cambridge to develop next-generation Augmented RFID systems powered by distributed hardware architectures. The ...

I’ve been fortunate to invest in several AI funding rounds—from pre-seed to Series B to F—and to see up close how billions have flowed into ...

Are AGENTS.md files actually helping your AI coding agents, or are they making them stupider? We dive into new research from ETH Zurich, real-world experiments, and security risks to find the truth ...