Comparative performance evaluation of MIP-016 & MIP-017! Under extreme noise & clutter:
Live Dashboard Matrix: https://t.co/CzwQnLy8m2
Portal: https://t.co/MwMW3RLh29
Founder: https://t.co/KvmLk0Xdwe
@GoogleDeepMind@PurdueEngineers#ComputerVision#AI#PatternRecognition
Major milestone! The 200-band Purdue AVIRIS hyperspectral dataset is compressed to 10, while hitting 98.9% accuracy on Woods & 94.3% on Soybeans.
Live Dashboard: https://t.co/KaaJKGmjmg
Vision Portal: https://t.co/MwMW3RKJcB
@PurdueEngineers@GoogleDeepMind#RemoteSensing#AI
We are proud to announce the DEPLOYMENT of MIP-012 Multi-Class Pattern Recognition Architecture:
https://t.co/e3OD91gODZ
Main Platform:
https://t.co/7NEaScjgsv
About the Founder:
https://t.co/KvmLk0Xdwe
@Lux_Capital,@a16z,@InQTel
@TwoSigmaVC,@P72Ventures,@DCVC@PurdueEngineers
Subject: Multi-Scale Pattern Prediction and Recognition Architecture
Main Platform:
https://t.co/7NEaScjgsv
About the Founder:
https://t.co/KvmLk0Xdwe
Status Report (10-07-26)
https://t.co/681ICwnLvE
@Lux_Capital,@a16z,@InQTel
@TwoSigmaVC,@P72Ventures,@DCVC@PurdueEngineers
EconomicXray
Main Platform:
https://t.co/7NEaScjgsv
About the Founder:
https://t.co/KvmLk0Xdwe
MIP-010 results based on the Simulated X-ray images from Normal to Abnormality
https://t.co/hi9xYp9iLz
@Lux_Capital,@a16z,@InQTel
@TwoSigmaVC,@P72Ventures,@DCVC@PurdueEngineers
EconomicXray
Main Platform:
https://t.co/7NEaScjgsv
About the Founder:
https://t.co/KvmLk0Xdwe
MIP-010: Technical Report (10-02-26)
https://t.co/o3Ww0Qfn3X
@Lux_Capital,@a16z,@InQTel
@TwoSigmaVC,@P72Ventures,@DCVC@PurdueEngineers
โWe will create our scientific architecture just like composing a universal symphony: note by note, chord by chordโฆโ
Platform: https://t.co/7NEaScjgsv
Founder: https://t.co/KvmLk0Xdwe
@Lux_Capital@a16z @InQTel @TwoSigmaVC @P72Ventures @DCVC@PurdueEngineers
This afternoon, we successfully evaluated the performance of our general-purpose non-linear mapping engine in predicting biological activity from physical properties. We used a 100-sample training a distinct 40-sample test.
https://t.co/7NEaSciICX
@Lux_Capital,@a16z,@InQTel
This afternoon, we successfully evaluated the performance of our general-purpose non-linear mapping engine in predicting biological activity from physical properties. We used a 100-sample training a distinct 40-sample test data-set.
https://t.co/7NEaScjgsv
@PurdueEngineers
We are proud to announce the MIP-010: general-purpose and high-performance non-linear mapping and classification engine:
https://t.co/7NEaSciICX
https://t.co/cDuz9Hmt5l
https://t.co/ZOlFA2ItT3
@Lux_Capital,@a16z,@InQTel
We are proud to announce the MIP-010: general-purpose and high-performance non-linear mapping and classification engine:
https://t.co/7NEaSciICX
https://t.co/cDuz9Hmt5l
https://t.co/ZOlFA2ItT3
@PurdueEngineers
We are proud to announce the MIP-010: general-purpose and high-performance non-linear mapping and classification engine:
https://t.co/7NEaScjgsv
https://t.co/cDuz9Hn0UT
https://t.co/ZOlFA2J1IB
@TwoSigmaVC,@P72Ventures,@DCVC