· ai
The Real Challenge in Data Storytelling: Getting Buy-In for Simplicity
What happens when your clear dashboard meets stakeholders who want everything on one screen The post The Real Challenge in Data Storytelling: Getting Buy-In for...
-
- · ai
[Paper] Physio-DPO: Aligning Large Language Models with the Protein Energy Landscape to Eliminate Structural Hallucinations
Large Protein Language Models have shown strong potential for generative protein design, yet they frequently produce structural hallucinations, generating seque...
- · ai
[Paper] Probabilistic Guarantees for Reducing Contextual Hallucinations in LLMs
Large language models (LLMs) frequently produce contextual hallucinations, where generated content contradicts or ignores information explicitly stated in the p...
- · it
Seven steps to AI supply chain visibility — before a breach forces the issue
Four in 10 enterprise applications will feature task-specific AI agents this year. Yet, research from Stanford University’s 2025 Index Report shows that a mere...
- · it
Why Notion’s biggest AI breakthrough came from simplifying everything
When initially experimenting with LLMs and agentic AI, software engineers at Notion AI applied advanced code generation, complex schemas, and heavy instructioni...
- · ai
주미당, 55억 원 투자 유치
향미 AI 스타트업 주미당이 프리시리즈A 라운드에서 55억 원 투자를 유치했다. 주미당은 후각·미각 데이터를 기반으로 실제 제조에 적용 가능한 향미 배합 레시피를 생성하는 AI 기술을 개발하고 있으며, 외식·주류를 시작으로 뷰티·디퓨저 등 다양한 산업으로 사업을 확대하... The po...
- · ai
[Paper] Beyond IVR: Benchmarking Customer Support LLM Agents for Business-Adherence
Traditional customer support systems, such as Interactive Voice Response (IVR), rely on rigid scripts and lack the flexibility required for handling complex, po...
- · ai
[Paper] Benchmarking ERP Analysis: Manual Features, Deep Learning, and Foundation Models
Event-related potential (ERP), a specialized paradigm of electroencephalographic (EEG), reflects neurological responses to external stimuli or events, generally...
- · ai
[Paper] Federated Customization of Large Models: Approaches, Experiments, and Insights
In this article, we explore federated customization of large models and highlight the key challenges it poses within the federated learning framework. We review...
- · ai
[Paper] Multi-Agent Coordinated Rename Refactoring
The primary value of AI agents in software development lies in their ability to extend the developer's capacity for reasoning and action, not to supplant human ...
- · ai
[Paper] Quadratic Unconstrained Binary Optimisation for Training and Regularisation of Binary Neural Networks
Advances in artificial intelligence (AI) and deep learning have raised concerns about its increasing energy consumption, while demand for deploying AI in mobile...
- · ai
[Paper] RMAAT: Astrocyte-Inspired Memory Compression and Replay for Efficient Long-Context Transformers
The quadratic complexity of self-attention mechanism presents a significant impediment to applying Transformer models to long sequences. This work explores comp...