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Bitcoin- Ledger vs Blockchain thumbnail
41:09
LIVE • about 6 years ago

Bitcoin- Ledger vs Blockchain

Evan Freeman

How to develop an autonomous car end-to-end: Robotic Drive and the mobility revolution thumbnail
1:18:27
LIVE • about 6 years ago

How to develop an autonomous car end-to-end: Robotic Drive and the mobility revolution

Ulrich Wurstbauer, Mohamed Nassar

Bitcoin SV: The Massively Scaled Blockchain to Meet Developer Needs thumbnail
1:16:37
LIVE • about 6 years ago

Bitcoin SV: The Massively Scaled Blockchain to Meet Developer Needs

Jimmy Nguyen, Steve Shadders

Building high performance and scalable architectures for enterprises thumbnail
58:23
LIVE • about 6 years ago

Building high performance and scalable architectures for enterprises

Luka Samaržija, Ivan Sokol

How Bitcoin changes incentives thumbnail
44:24
LIVE • about 6 years ago

How Bitcoin changes incentives

Jimmy Song

A Technical Introduction to Bitcoin's 2nd Layer- The Lightning Network thumbnail
45:52
LIVE • about 6 years ago

A Technical Introduction to Bitcoin's 2nd Layer- The Lightning Network

Andreas M Antonopoulos

State management in a world of hooks thumbnail
28:10
LIVE • about 6 years ago

State management in a world of hooks

Adam Klein

30 Golden Rules of Deep Learning Performance thumbnail
46:30
LIVE • about 6 years ago

30 Golden Rules of Deep Learning Performance

Anirudh Koul

Raise your voice! thumbnail
30:59
LIVE • about 6 years ago

Raise your voice!

Lee Boonstra

GraphQL Mesh – Why GraphQL between services is the worst idea and the best idea at the same time! thumbnail
34:28
LIVE • about 6 years ago

GraphQL Mesh – Why GraphQL between services is the worst idea and the best idea at the same time!

Uri Goldshtein

Frontend Performance Testing in practice thumbnail
36:50
LIVE • about 6 years ago

Frontend Performance Testing in practice

Jonas Kröger

Anomaly Detection - Using unsupervised Machine Learning for detecting anomalies in customer base thumbnail
22:06
LIVE • about 6 years ago

Anomaly Detection - Using unsupervised Machine Learning for detecting anomalies in customer base

Lukas Kölbl