The document introduces machine learning and discusses how it has progressed from early successes in image and voice recognition to more complex areas like language understanding and reinforcement learning. It then describes a company called Reflen that is building algorithms, software, and platforms to support augmented intelligence and accelerate human cognition, with their goal being to create AI systems that act as "e-bikes for the human mind" to amplify human capabilities. Finally, it outlines Reflen's roadmap from minimum viable products to integrated solutions incorporating features like behavior understanding, intention prediction, and optimized decision making while protecting user privacy.
4. Breakthrough so far
Image recognition
Voice recognition
Voice synthesizer
Video
2. Structured Behavior understanding
1. Raw data understanding
(in timeline)
5. Underneath…
• CNN, RNN, LSTM, GAN, VAE
• GPU, TPU, FPGA
• Facebook, Google, Amazon, Apple
Practice and technologies in Training method, hardware, and data
8. How about Language
It’s far more complex…
Source: PBS The Brain with David Eagleman
“6 times reverse data to thalamus
than input to visual cortex”
• Internal model matters
• Memory(knowledge) matters
9. Opportunity
“Bicycles for the mind” steve Jobs used to describe computers.
We believe, today, A.I. system is an e-bike for human mind.
First you need a good bike, then a good motor and battery,
finally a good design to put them together.
10. We build algorithm, software and platform to support Augmented Intelligence.
Reflen is an e-bike to accelerate
Augmented Intelligence