C4AI’s Applied AI Lab proactively conducts applied research, explores AI use cases and challenges with AI adoption, evaluates best practices, and tests leading and emerging technology platforms and lifecycle/policy frameworks across the AI / Machine Learning (AI/ML) landscape.

The Applied AI Lab is led by experienced AI Engineers, Product Managers, Research Faculty, Senior Research Scientists from industry and government, Technology Partners such as NVIDIA and Microsoft, and AI/ML graduate students from UMBC & other top research universities.

The Lab is available to UMBC Training Centers’ clients and partners to participate in active collaboration, or to support and accelerate projects focused on testing and deploying AI/ML use cases, solutions and workflows.

• AI Strategy Consulting (on site or remote)
• Project-based, objective-driven AI/ML development and testing
• Managed AI/ML Services (i.e. provisioned monthly access to Lab staff & resources)
• Collaboration on research and evaluating AI tools and services
• Customized AI/ML Training (synchronous and asynchronous)

Recent and Ongoing Project Highlights

1. Comparing AI chip architectures to accelerate AI inference and training, reduce compute cost and power consumption
2. Llama 3.1 (Open-Source AI): Did It Kill Closed-Source Models (e.g. ChatGPT)
3. Retrieval-Augmented Generation (RAG) with Real-World Examples
4. Analysis & Normalization of Top AI Frameworks and Vulnerability Databases
5. Current State of Deepfake Detection Tools
6. Comparison of AI Coding Assistants
7. Accelerating Medical Research with PubMed using AI
8. Using AI to Quickly Summarize Large Volumes of Government Data and Documents
9. Utilizing Small Language Models (SLMs) for More Effective, Secure, and Unbiased AI at Low Cost
10. Benchmarking Text-to-Speech and Speech-to-Text Models
11. Local AI Image Recognition for Commercial and National Security Applications
12. Audio Intelligence for Hyperscale Knowledge Acquisition, Trend Analysis, and Threat Detection
13. How to Create Your Own Language Model for any Use Case or Application
14. Privacy Risks in Foundation (Large) AI Models
15. Advanced Malware and Threat Detection for National Security
16. Stocks, Options and Futures: AI analysis and forecasting for significant outperformance of financial benchmarks