Modern artificial intelligence systems operate with a fundamental paradox: they demonstrate remarkable reasoning capabilities while simultaneously suffering from systematic amnesia. Large language ...
A research team affiliated with UNIST has unveiled a novel AI system capable of grading and providing detailed feedback on ...
Retrieval-augmented generation breaks at scale because organizations treat it like an LLM feature rather than a platform ...
Duah: Using puzzles, both at home and in classrooms, can restore the often-forgotten truth that learning happens in ...
Shivik Labs, an emerging leader in foundational AI research, announced the release of its latest research paper introducing TRIDENT (Thought-based Reasoning and Improvement through Deep Exploration of ...
Abstract: As a pivotal branch of intelligent human-computer interaction, visual dialog is a technically challenging task that requires artificial intelligence (AI) agents to answer consecutive ...
Shane Legg, co-founder and Chief AGI Scientist at Google DeepMind, defines levels of artificial general intelligence (AGI) as ...
AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.
It has become increasingly clear in 2025 that retrieval augmented generation (RAG) isn't enough to meet the growing data ...
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