# Brain inspired hardware architectures - Can they be used for particle physics ?

- Institution: CERN
- Department: Detector Seminar
- Speaker: Karlheinz Meier
- Year: 2016
- Language: English
- Subjects: Physics, Psychology and the brain
- Source: [CERN](https://videos.cern.ch/record/3000689)
- Licence: [CERN](http://copyright.web.cern.ch)
- Who can watch: Teens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

After their inception in the 1940s and several decades of moderate success, artificial neural networks have recently demonstrated impressive achievements in analysing big data volumes. Wide and deep network architectures can now be trained using high performance computing systems, graphics card clusters in particular.

Despite their successes these state-of-the-art approaches suffer from very long training times and huge energy consumption, in particular during the training phase. The biological brain can perform similar and superior classification tasks in the space and time domains, but at the same time exhibits very low power consumption, rapid unsupervised learning capabilities and fault tolerance.

In the talk the differences between classical neural networks and neural circuits in the brain will be presented. Recent hardware implementations of neuromorphic computing systems and their applications will be shown. Finally, some initial ideas to use accelerated neural architectures as trigger processors in particle physics will be discussed..

0:00:00 Slide 1

0:02:01 Slide 2

0:02:40 Slide 3

0:04:07 Slide 4

0:05:32 Slide 5

0:07:15 Slide 6

0:08:39 Slide 7

0:09:34 Slide 8

0:10:58 Slide 9

0:11:51 Slide 10

0:12:23 Slide 11

0:13:14 Slide 12

0:14:32 Slide 13

0:16:39 Slide 14

0:19:37 Slide 15

0:20:46 Slide 16

0:21:19 Slide 17

0:22:04 Slide 18

0:22:26 Slide 19

0:22:35 Slide 20

0:23:26 Slide 21

0:25:25 Slide 22

0:27:03 Slide 23

0:28:40 Slide 24

0:29:57 Slide 25

0:31:07 Slide 26

0:32:03 Slide 27

0:32:45 Slide 28

0:33:40 Slide 29

0:34:29 Slide 30

0:34:43 Slide 31

0:34:50 Slide 32

0:34:54 Slide 33

0:34:58 Slide 34

0:35:02 Slide 35

0:35:06 Slide 36

0:35:10 Slide 37

0:35:14 Slide 38

0:35:18 Slide 39

0:35:22 Slide 40

0:35:26 Slide 41

0:35:30 Slide 42

0:35:35 Slide 43

0:35:52 Slide 44

0:36:21 Slide 45

0:36:28 Slide 46

0:36:41 Slide 47

0:37:06 Slide 48

0:37:26 Slide 49

0:37:34 Slide 50

0:37:38 Slide 51

0:38:05 Slide 52

0:38:48…

## Lectures

1. [Brain inspired hardware architectures - Can they be used for particle physics ?](https://invisiblenetwork.ai/learn/cern/3000689/dea866ccbc60), 1 h 9 min (CERN's player)