BRN Discussion Ongoing

CHIPS

Regular
I’m sure this has already been posted of the 2024 (April) internship but worth a read 💯 Looks like BC are up to project TENN.


Will project 1 be successful enough to attract MS, QC/Prophesee…

And again ... Doesn't anybody proofread such documents before publishing? See page 9, right side. There is something broken/missing.
 
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Diogenese

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And again ... Doesn't anybody proofread such documents before publishing? See page 9, right side. There is something broken/missing.
So that's an "F" for project 3?
 
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7für7

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And again ... Doesn't anybody proofread such documents before publishing? See page 9, right side. There is something broken/missing.
I thought it showcases the programming language for this step

😂👍
 
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Diogenese

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And again ... Doesn't anybody proofread such documents before publishing? See page 9, right side. There is something broken/missing.
Looks like the top margin has been expanded on the template, pushing some content down, as seen on other slides.

Whatever it was they intended to put in the top margin has been omitted.
 
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CHIPS

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So that's an "F" for project 3?
No, it is an F for presentation skills of a company that should present itself perfectly. If I see such mistakes, others will also.
It is all about impression ...
 
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Frangipani

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I hope we can get them into BRN's University AI Accelerator Program, that would be fantastic.

Close to BRN headquarter so no excuses, fire up the Tesla and go and speak with them Sean or maybe Kris Carlson now you are there.

Who We Are​

Founded in 1965, UC Irvine is a member of the prestigious Association of American Universities and is ranked among the nation’s top 10 public universities by U.S. News & World Report. The campus has produced five Nobel laureates and is known for its academic achievement, premier research, innovation and anteater mascot. Led by Chancellor Howard Gillman, UC Irvine has more than 36,000 students and offers 224 degree programs. It’s located in one of the world’s safest and most economically vibrant communities and is Orange County’s second-largest employer, contributing $7 billion annually to the local economy and $8 billion statewide.


I am pretty sure such talks would already have taken place - whether anything came out of it remains to be seen.

Kris Carlson knows UC Irvine very well - from 2011-2015, he was a postdoc in Jeff Krichmar’s UC Irvine lab, which is nowadays known as the Cognitive Anteater Robotics Lab (CARL), its name presumably paying homage to UC Irvine’s mascot Peter the Anteater:

D9280C78-9B86-4296-94EF-A039EB49C4BC.jpeg


The conference organisers have even arranged for surfing lessons at the end of the conference - I wonder whether the surf instructor will be dressed as an anteater, too. 😂

0BB46CC3-04B7-487B-B527-50B5C07D74E5.jpeg



By the way, I love the image of the anteater robot our company’s graphic designer created to advertise BrainChip’s participation in that animat conference. Consistently excellent work there!

Here is an abstract of Kris Carlson’s talk scheduled for today:

D3B46DA1-F782-4932-B06F-FCED0F44A137.jpeg



https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-432432

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Oh, and in case anyone missed it: CARL researchers recently published a YouTube video revealing they are no strangers to AKD1000… 😊

https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-432418

28E5AC45-32F9-477C-A9F3-8EDBD273C852.jpeg



They had used an E-Puck mobile robot for their AKD1000 demo video, which reminded me of Tony Lewis referring to a puck-sized compact device as a visionary product during his CTO address at this year’s AGM:

https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-432430

6E309CF9-AAAA-491C-9F72-B189829DACBC.jpeg
 
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Luppo71

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The Pope

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From the AI hardware summit. “select appliance” I would love to know what this is about.. 🤔
Yes atleast I know what RAG means now

Retrieval-Augmented Generation (RAG) is the process of optimizing the output of a large language model, so it references an authoritative knowledge base outside of its training data sources before generating a response.
 
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manny100

Regular
No doubt this will be considered pumping even though its fact - why?
Sean's interview after the AGM. From circa 1 min 30s Sean confirms our ability to win, we have been down selected on almost all of our engagements, meeting with C level execs and he knows decisions are coming in a relatively short period of time.
Worth another listen. I have no doubt Sean will come through for us.
 
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Frangipani

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Managed to match Summer Internship Project Five with Keith Hoffmeister, a B.Sc. Computer Science and Engineering student at UCLA (which happens to be the alma mater of our CTO Tony Lewis).
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I hope we can get them into BRN's University AI Accelerator Program, that would be fantastic.

Close to BRN headquarter so no excuses, fire up the Tesla and go and speak with them Sean or maybe Kris Carlson now you are there.

Who We Are​

Founded in 1965, UC Irvine is a member of the prestigious Association of American Universities and is ranked among the nation’s top 10 public universities by U.S. News & World Report. The campus has produced five Nobel laureates and is known for its academic achievement, premier research, innovation and anteater mascot. Led by Chancellor Howard Gillman, UC Irvine has more than 36,000 students and offers 224 degree programs. It’s located in one of the world’s safest and most economically vibrant communities and is Orange County’s second-largest employer, contributing $7 billion annually to the local economy and $8 billion statewide.

I'm not sure, they are actually spending much time "chasing" University's, at least not now..

University's, can either join and have their undergraduates, at the forefront of neuromorphic technology, or not..
 
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Getupthere

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Terroni2105

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Guzzi62

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That certainly looks like a competitor.

Quote:

We are determined to disrupt the $10T+ embedded edge market that is still using decades old technology. We’re a uniquely qualified 100+ team made up of the brightest minds in software, semiconductor design, and machine learning. We are well-funded by top-tier VCs and initially focused on helping solve computer vision challenges in smart vision, robotics and Industry 4.0, drones, autonomous vehicles, healthcare, and the government sector. We are obsessed with delighting our customers and currently working with over 50 market-leading companies to bring ML to their platforms.

I don't know how we stack up against them?

They are working closely together with TSMC according to below Yahoo article!

Quote:

"TSMC has long-partnered with industry innovators like SiMa.ai, helping them achieve groundbreaking next-generation semiconductor designs with our industry-leading technologies and manufacturing excellence," said Lucas Tsai, Senior Director of Market Development and Emerging Business Management, TSMC North America. "We are excited to continue our collaboration in accelerating SiMa.ai’s powerful and energy-efficient chip innovation to meet the rapidly growing demand for GenAI at the edge."


 
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Frangipani

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View attachment 69142


Hi Terroni,

your post reminded me of two comments by Laurent Hili I had spotted before going on holidays, but forgot to post a screenshot of:

EBACC086-166C-4A4F-94F4-CCDA58D48453.jpeg



 
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Diogenese

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View attachment 69142


What Wiki said:

https://en.wikipedia.org/wiki/Rosalind_Franklin_(rover)


Since the rover communicates with the ground controllers via the ExoMars Trace Gas Orbiter (TGO), and the orbiter only passes over the rover approximately twice per sol, the ground controllers will not be able to actively guide the rover across the surface. The Rosalind Franklin rover is therefore designed to navigate autonomously across the Martian surface.[39][40] Two stereo camera pairs (NavCam and LocCam) allow the rover to build up a 3D map of the terrain,[41] which the navigation software then uses to assess the terrain around the rover so that it avoids obstacles and finds an efficient route to the ground controller specified destination.
 
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Diogenese

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What Wiki said:

https://en.wikipedia.org/wiki/Rosalind_Franklin_(rover)


Since the rover communicates with the ground controllers via the ExoMars Trace Gas Orbiter (TGO), and the orbiter only passes over the rover approximately twice per sol, the ground controllers will not be able to actively guide the rover across the surface. The Rosalind Franklin rover is therefore designed to navigate autonomously across the Martian surface.[39][40] Two stereo camera pairs (NavCam and LocCam) allow the rover to build up a 3D map of the terrain,[41] which the navigation software then uses to assess the terrain around the rover so that it avoids obstacles and finds an efficient route to the ground controller specified destination.

Apparently NASA has been training the Mars rover using something called machine learning.

https://phys.org/news/2024-08-nasa-machine-algorithm-mars-sample.html#google_vignette


August 5, 2024
Editors' notes

NASA trains machine learning algorithm for Mars sample analysis​

by Matthew Kaufman, NASA

...

This machine learning algorithm can help us by quickly filtering the data and pointing out which data are likely to be the most interesting or important for us to examine," said Xiang "Shawn" Li, a mass spectrometry scientist in the Planetary Environments lab at NASA Goddard.

The algorithm will first be put to the test with data from Mars, by operating on an Earth-bound computer using data collected by the Mars Organic Molecule Analyzer (MOMA) instrument.

The analyzer is one of the main science instruments on the upcoming ExoMars mission Rosalind Franklin Rover, led by ESA (European Space Agency). The rover, which is scheduled to launch no earlier than 2028, seeks to determine if life ever existed on the Red Planet.

After Rosalind Franklin collects a sample and analyzes it with MOMA, data will be sent back to Earth, where scientists will use the findings to decide the best next course of action.
 
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itsol4605

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itsol4605

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Apparently NASA has been training the Mars rover using something called machine learning.

https://phys.org/news/2024-08-nasa-machine-algorithm-mars-sample.html#google_vignette


August 5, 2024
Editors' notes

NASA trains machine learning algorithm for Mars sample analysis​

by Matthew Kaufman, NASA

...

This machine learning algorithm can help us by quickly filtering the data and pointing out which data are likely to be the most interesting or important for us to examine," said Xiang "Shawn" Li, a mass spectrometry scientist in the Planetary Environments lab at NASA Goddard.

The algorithm will first be put to the test with data from Mars, by operating on an Earth-bound computer using data collected by the Mars Organic Molecule Analyzer (MOMA) instrument.

The analyzer is one of the main science instruments on the upcoming ExoMars mission Rosalind Franklin Rover, led by ESA (European Space Agency). The rover, which is scheduled to launch no earlier than 2028, seeks to determine if life ever existed on the Red Planet.

After Rosalind Franklin collects a sample and analyzes it with MOMA, data will be sent back to Earth, where scientists will use the findings to decide the best next course of action.
Not Akida!!
 
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JoMo68

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Nice tablecloth…
 
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