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Research & Development
Accelerating Neural Networks on FPGAs: A Deep Dive into SLAC’s SNL and Auto-SNL
TLDR: This research paper introduces the SLAC Neural Network Library (SNL) and its Python extension, Auto-SNL, designed to deploy real-time machine learning inference models...
Research & Development
Enhancing LLM Reasoning with Probabilistic Confidence Scoring
TLDR: PiCSAR is a new, training-free method that improves the accuracy of large language models (LLMs) and large reasoning models (LRMs) on complex tasks....
Applications & Use Cases
Artificial Intelligence Reshapes Malaysia’s Search Engine Optimization Landscape
TLDR: The advent of artificial intelligence (AI) is fundamentally transforming Malaysia's Search Engine Optimization (SEO) market, prompting a reevaluation of traditional digital marketing strategies....
Research & Development
Enhancing LLM Tutoring with Fuzzy Logic and Memory
TLDR: This research introduces a "cognitive scaffolding" framework to improve large language models' (LLMs) reasoning and memory in instructional dialogues, specifically Socratic tutoring. The...
Research & Development
Think-In Games: Empowering Language Models to Master Interactive Strategy
TLDR: The 'Think-In Games' (TiG) framework enables large language models (LLMs) to acquire procedural knowledge in interactive game environments, bridging the gap between knowing...
Research & Development
AI’s Grand Design: A Seven-Layer Model for Compute Architecture and Future Trends
TLDR: This research paper introduces a seven-layer model for AI compute architecture, spanning from physical hardware to application layers. It details the three evolutionary...