About the Project (The Simple Version)
Why does Lane Vector exist? What problem is it trying to solve?
The Mission (What We're Trying to Do)
Lane Vector exists to make predictions better - way better. Right now, most companies and systems predict things by just guessing patterns. Lane Vector wants to figure out the ACTUAL RULES behind why things happen, using real math and science (physics!).
Think of it like this: most people used to predict where planets would be by just watching the sky and guessing. Then Isaac Newton discovered the laws of gravity and suddenly we could calculate EXACTLY where planets would be! Lane Vector is trying to do the same thing for predictions about human behavior, waiting times, fraud, and more.
How Did This Start?
The creator, Michael Brandon Lane, noticed something important that seems obvious once you think about it:
💡 The Big Realization:
When you're trying to predict what someone will do, you shouldn't just count things (like "they clicked 5 times"). You should look at WHERE they're going and HOW their behavior is changing!
For example, imagine you're trying to predict if someone will buy a car:
- ❌Old Way: "They visited our website 3 times this month." (Just counting)
- ✅Lane Vector Way: "They went from looking at many brands to focusing on one, from reading reviews to checking financing, and their visits are getting more frequent - they're speeding up toward a purchase!" (Direction + Speed)
Michael realized that scientists had already solved similar problems in physics - like tracking how chemicals react or how things move. So why not use the same math for predicting human behavior? The project started in Tennessee, near Oak Ridge National Laboratory (a big science research center), bringing serious science to everyday problems.
The Vision (Where Is This Going?)
The long-term goal is to make prediction a SOLVED PROBLEM - like how we can predict weather or eclipses using science. Right now, most predictions about human behavior are just educated guesses. Lane Vector wants to turn guesses into equations you can test and prove, just like in a science experiment.
How Does It Work? (The Basics)
Here's the simplified process:
- 1. Collect Data Over Time
Track how things change - not just snapshots, but the whole movie of what's happening.
- 2. Calculate Speed and Direction
Figure out how fast things are moving and which direction they're heading - are they speeding up or slowing down?
- 3. Find Patterns That Matter
Separate the signal (important stuff) from the noise (random junk that doesn't matter).
- 4. Discover the Rules
Use AI to find the mathematical equations that explain WHY things happen the way they do.
Example: Sorting Good vs Bad Signals
One way Lane Vector sorts data is by giving each piece a "score" to see if it's useful:
- High Score (30+): This signal is GOLD - it strongly predicts what will happen!
- Medium Score (5-29): Might be useful, worth keeping an eye on.
- Low Score (-100): Useless noise - ignore it completely.