The document discusses the challenges and advancements in deep learning technology, particularly for self-driving cars and visual recognition tasks. It highlights the growing computer vision market and presents Brodmann17's innovative approach which offers better accuracy and lower costs without redundant network training. The company aims to address issues such as network latency, security, privacy, and scalability in cloud-based deep learning.

1. Adi Pinhas | Co-founder & CEO

2. DID YOU
ever ask yourself
why they never show
you the inside of
self-driving cars?

3. DEEP LEARNING
requires a massive amount
of computational power

4. GRAPHIC
PROCESSORS
rule deep learning at
a great cost of:
Size
Price
Power
Heat

5. CLOUD BASED
deep learning created new
challenges:
Network
Latency
Security
Privacy
Complexity
Scalability

6. DEEP LEARNING ENGINE
for visual recognition tasks
on everyday devices

7. WE ALREADY
DELIVER
deep learning software to
large global device
manufacturers
Computer vision market is
growing from $12B today
to $30B+ in 2020

8. Brodmann17’s deep learning has better accuracy
WITH SIGNIFICANTLY LOWER COSTS

9. Current approach
large redundant network
training
compress, squeeze, approximate
Out patented tech
no redundancy network
training

10. Brodmann17 founding team
10