Anchorblock Artificial Intelligence Research
We take immense pride in introducing you to the driving force behind our AI initiatives, Peter Findley

Peter Findley
Head of Research
Our Researches
Yang-Millsquantum theory,mass gap
Detailed and Rigorous Proof of the Yang-Mills Existence
We aim to prove the existence of a quantum Yang-Mills theory on that has a mass gap for any compact gauge group . This proof involves establishing the existence of classical solutions, constructing the quantum theory, and demonstrating the mass gap through spectral analysis and correlation decay.

biologyquantumllm
Knowledge Graph for Quantum Biology Inquiry
When investigating a new field of science such as Quantum Biology, my thought process involves leveraging our previous discussions on theoretical physics, biology, and agent flow to provide a structured and informed response.

simulationbehaviorllm
Comprehensive Simulation of Human Behavior Using Multi-Agent Systems
This article presents a comprehensive framework for simulating human behavior through a multi-agent system. The framework integrates cognitive, emotional, physical, and social aspects,incorporating advanced learning mechanisms, meta-learning, and environmental adaptation.

bloomberggptfinancellm
Empowering Financial Intelligence: Unraveling the Impact of Large Language Models in Downstream Finance Tasks
This study evaluates General Purpose Large Language Models (LLMs) on financial datasets, comparing them with BloombergGPT models. The results demonstrate promising performance of LLMs, suggesting their potential for financial applications.

medical chatbotmedibotllm
Medibot: Your Personalized Medical Chatbot
A report on Medibot, a personalized medical chatbot that can answer your medical-related queries. It is developed using the fusion of Large Language Models and a vector indexing-based knowledge base.

Autonomous DrivingMedical Imaging
Benchmarking Object Detection Algorithms: The Key to Choosing the Best Model for Your Needs
Our GitHub repo facilitates object detection benchmarking, offering experiments on transformer backbones for image classification and panoptic segmentation tasks, aiding evaluation and comparison of algorithms.
