BRN (ASX) 2021 BRN Discussion

Originally posted by Popeye82: ↑

http://scitechdaily.com/neuromorphic-chip-artificial-neurons-recognize-biosignals-in-real-time/
"
Neuromorphic Chip: Artificial Neurons Recognize Biosignals in Real Time
TOPICS:Artificial Intelligence Biotechnology Computer Science Electrical Engineering Neuroscience Popular University of Zurich
ByUniversity of ZurichJune 4, 2021
The neuromorphic chip reliably and precisely detects high-frequency oscillations in previously recorded intracranial EEG. Credit: UZH, ETHZ, USZ
Researchers from Zurich have developed a compact, energy-efficient device made from artificial neurons that is capable of decoding brainwaves. The chip uses data recorded from the brainwaves of epilepsy patients to identify which regions of the brain cause epileptic seizures. This opens up new perspectives for treatment.
Current neural network algorithms produce impressive results that help solve an incredible number of problems. However, the electronic devices used to run these algorithms still require too much processing power. These artificial intelligence (AI) systems simply cannot compete with an actual brain when it comes to processing sensory information or interactions with the environment in real time.
Neuromorphic chip detects high-frequency oscillations
Neuromorphic engineering is a promising new approach that bridges the gap between artificial and natural intelligence. An interdisciplinary research team at the University of Zurich, the ETH Zurich, and the UniversityHospital Zurich has used this approach to develop a chip based on neuromorphic technology that reliably and accurately recognizes complex biosignals. The scientists were able to use this technology to successfully detect previously recorded high-frequency oscillations (HFOs). These specific waves, measured using an intracranial electroencephalogram (iEEG), have proven to be promising biomarkers for identifying the brain tissue that causes epileptic seizures.

Complex, compact, and energy efficient
The researchers first designed an algorithm that detects HFOs by simulating the brain’s natural neural network: a tiny so-called spiking neural network (SNN). The second step involved implementing the SNN in a fingernail-sized piece of hardware that receives neural signals by means of electrodes and which, unlike conventional computers, is massively energy efficient. This makes calculations with a very high temporal resolution possible, without relying on the internet or cloud computing. “Our design allows us to recognize spatiotemporal patterns in biological signals in real time,” says Giacomo Indiveri, professor at the Institute for Neuroinformatics of UZH and ETH Zurich.
Measuring HFOs in operating theaters and outside of hospitals
The researchers are now planning to use their findings to create an electronic system that reliably recognizes and monitors HFOs in real time. When used as an additional diagnostic tool in operating theaters, the system could improve the outcome of neurosurgical interventions.
However, this is not the only field where HFO recognition can play an important role. The team’s long-term target is to develop a device for monitoring epilepsy that could be used outside of the hospital and that would make it possible to analyze signals from a large number of electrodes over several weeks or months. “We want to integrate low-energy, wireless data communications in the design – to connect it to a cellphone, for example,” says Indiveri. Johannes Sarnthein, a neurophysiologist at UniversityHospital Zurich, elaborates: “A portable or implantable chip such as this could identify periods with a higher or lower rate of incidence of seizures, which would enable us to deliver personalized medicine.” This research on epilepsy is being conducted at the Zurich Center of Epileptology and Epilepsy Surgery, which is run as part of a partnership between UniversityHospital Zurich, the Swiss Epilepsy Clinic and the University Children’s Hospital Zurich.
Reference: “An electronic neuromorphic system for real-time detection of high frequency oscillations (HFO) in intracranial EEG” by Mohammadali Sharifshazileh, Karla Burelo, Johannes Sarnthein and Giacomo Indiveri, 25 May 2021, Nature Communications.
DOI: 10.1038/s41467-021-23342-2
"

Expand

-
Inside China's Accelerating Bid for Chip Supremacy
1.407.634 Aufrufe
•02.06.2021

26.059

1365

Teilen

Speichern

Bloomberg Quicktake
2,73 Mio. Abonnenten

Right now the world is dependent on Taiwan for silicon semiconductors called chips, which give devices like iPhones their functionality. This reliance has the U.S. and China both racing for technological independence.#China+ #ChipShortage #BloombergQuicktake--------Like this video? Subscribe: http://www.youtube.com/Bloomberg?sub_...Become a Quicktake Member for exclusive perks: http://www.youtube.com/bloomberg/joinQuickTake Originals is Bloomberg's official premium video channel. We bring you insights and analysis from business, science, and technology experts who are shaping our future. We’re home to Hello World, Giant Leap, Storylines, and the series powering CityLab, Bloomberg Businessweek, Bloomberg Green, and much more.Subscribe for business news, but not as you've known it: exclusive interviews, fascinating profiles, data-driven analysis, and the latest in tech innovation from around the world.Visit our partner channel QuickTake News for breaking global news and insight in an instant.
-

No.	Vol.	Price($)
7	593140	21.0¢

No.

Vol.

Price($)

593140

21.0¢

Price($)	Vol.	No.
21.5¢	560405	10

Price($)

Vol.

No.

21.5¢

560405

No.	Vol.	Price($)
7	593140	0.210
43	1172919	0.205
77	1604209	0.200
29	1274337	0.195
40	1214497	0.190

No.

Vol.

Price($)

593140

0.210

1172919

0.205

1604209

0.200

1274337

0.195

1214497

0.190

Price($)	Vol.	No.
0.215	560405	10
0.220	1231042	25
0.225	670936	16
0.230	791925	21
0.235	481886	17

Price($)

Vol.

No.

0.215

560405

0.220

1231042

0.225

670936

0.230

791925

0.235

481886

(20min delay)
Last 21.0¢		Change -0.005(2.33%)		Mkt cap ! $389.7M

Open	High	Low	Value	Volume
21.0¢	21.5¢	20.8¢	$610.1K	2.904M

2021 BRN Discussion, page-12511

Inside China's Accelerating Bid for Chip Supremacy

Leo Lithium announces major divestment of flagship Goulamina project to Ganfeng

Tivan and EARTH AI gear up to commence fresh drilling at Sandover lead-silver project, NT

Fast-track assaying yields 182 g/t gold for iTech at new NT play

Has uranium run out of steam? An update on nuclear markets & developments ahead in FY25

Saturn’s stars have aligned for the gold explorer’s Apollo Project

KGL sniffs 19% Cu from drilling at Rockface play in NT

Week 27 Wrap: "Election year" is here as UK Labour win contrasts France; Trump wins immunity & annual report season hushes ASX

Climate change to drive market trends to the moon

Red Hill Minerals Signs $6.5 Million Agreement with Peel Mining to Explore Curnamona Project, NSW

The Big Deal: Free-to-air TV swings the axe, but will it be enough as enormous sports deal bills loom?

Featured News

Buyers (Bids)

Sellers (Offers)

Featured News

2021 BRN Discussion, page-12511

Inside China's Accelerating Bid for Chip Supremacy

Top Stories

Leo Lithium announces major divestment of flagship Goulamina project to Ganfeng

Tivan and EARTH AI gear up to commence fresh drilling at Sandover lead-silver project, NT

Fast-track assaying yields 182 g/t gold for iTech at new NT play

Has uranium run out of steam? An update on nuclear markets & developments ahead in FY25

Saturn’s stars have aligned for the gold explorer’s Apollo Project

KGL sniffs 19% Cu from drilling at Rockface play in NT

Week 27 Wrap: "Election year" is here as UK Labour win contrasts France; Trump wins immunity & annual report season hushes ASX

Climate change to drive market trends to the moon

Red Hill Minerals Signs $6.5 Million Agreement with Peel Mining to Explore Curnamona Project, NSW

The Big Deal: Free-to-air TV swings the axe, but will it be enough as enormous sports deal bills loom?

Featured News

Buyers (Bids)

Sellers (Offers)

Featured News