PReD: An LLM-based Foundation Multimodal Model for Electromagnetic Perception, Recognition, and Decision
PReD: An LLM-based Foundation Multimodal Model for Electromagnetic Perception, Recognition, and Decision explores A foundation model for electromagnetic signal perception, recognition, and decision-making, leveraging multimodal LLM capabilities with a new dataset and benchmark.. Commercial viability score: 7/10 in Electromagnetic AI.
Updated 1 day ago
BUILDER'S SANDBOX
Build This Paper
Use an AI coding agent to implement this research.
OpenAI CodexAI Agent
Lightweight coding agent in your terminal.
Claude CodeAI Agent
Agentic coding tool for terminal workflows.
AntiGravity IDEScaffolding
AI agent mindset installer and workflow scaffolder.
CursorIDE
AI-first code editor built on VS Code.
VS CodeIDE
Free, open-source editor by Microsoft.
Recommended Stack
Startup Essentials
Estimated $9K - $13K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
Related Papers
- Builds On ThisRADAR: Revealing Asymmetric Development of Abilities in MLLM Pre-trainingViability: 5.0
- Builds On ThisSignalMC-MED: A Multimodal Benchmark for Evaluating Biosignal Foundation Models on Single-Lead ECG and PPGViability: 5.0
- Builds On ThisEMO-R3: Reflective Reinforcement Learning for Emotional Reasoning in Multimodal Large Language ModelsViability: 4.0
- Builds On ThisSemantically Annotated Multimodal Dataset for RF Interpretation and PredictionViability: 5.0
- Builds On ThisDEEPMED: Building a Medical DeepResearch Agent via Multi-hop Med-Search Data and Turn-Controlled Agentic Training & Inference