Machine Learning & AI
3 Results were found on Technologies
Sub Category Name
Agent-Based Modeling of Pedestrian Mobility in the City From Research to Opportunity: Unlocking the Value of Pedestrian Flow Data
Understanding and predicting pedestrian flows across a city is critical for smarter urban planning, infrastructure investment, and business decision-making. Traditional data collection is expensive, fragmented, and limited in scope, making large-scale insights difficult to obtain. Our solution: a city-scale Agent-Based Modeling (ABM) platform that combines high-resolution spatio-temporal and GPS-based walking data with advanced Machine Learning […] Read More >
Execution Guided Line-by-Line Code Generation
Large language models (LLMs) have revolutionized the field of code generation, demonstrating impressive capabilities in automating programming tasks and assisting developers. Despite these advancements, current methods primarily rely on pattern recognition from static code representations, often producing syntactically plausible but functionally incorrect code. Many of these models lack the ability to explicitly reason about runtime […] Read More >
Overclocking LLM Reasoning- Monitoring and Controlling Thinking Path Lengths in LLMs
Large Language Models (LLMs) like ChatGPT have revolutionized AI-powered reasoning, enabling applications across diverse domains. However, their internal reasoning processes often remain opaque, leaving users in the dark about how long the model will take to arrive at an answer. UNMET NEED Currently, users interact with reasoning models without any indication of the internal progress […] Read More >
