Dozzaman1977
Regular
He was answering a question about the breakeven point of the company after the long years of research and development
BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
Dozzaman1977
Regular
Thanks for the abuse
Dozzaman1977
Regular
The CEO was replying to a direct question about the breakeven point of the company after the long years of cash burn research and development. The question asked is just as important as the answer ........
DingoBorat
Slim
The interviewer asked that question, but he didn't give that answer.
He answered, with what he could talk about, instead of saying something like "I don't know" which he couldn't possibly, at that point in time.
This guy is switched on, we are in more than capable hands, with Sean at the helm.
The first couple of times I saw him speak, I wasn't too impressed, maybe it was nerves etc, but he has really hit his stride now and you can really see, his enthusiasm and drive.
How he handled the Comsec interview, is a perfect example, of how far he's come, in his own development, as a/our CEO.
Actually Tom asked basically the same question in that interview, from 6min, about profitability and while showing great confidence in our potential, he didn't answer that part of the question.
Hey I'm on your side, how my life and other aspects of how I want to impose my influence on this World, pans out, depends entirely on this Company doing, what I think it can do.
I am 100% behind fostering positivity here and allaying unfounded fears, but by the same token, I don't want that positivity to be based on unreal expectations.
Because, it will undermine that sentiment.
In saying that, my expectations of this Company could be considered "unreal" to those, like the WANCAs, that don't have a clue, of what we have here.
The share price, will more than take care of itself, with further "material" developments, before the actual financial benefits of them, hit our books
Last edited:
cosors
👀
I am seriously surprised! Startup of the year a company from Germany and that with our startup "culture"!?! Blickfeld GmbH and LiDAR
https://www.blickfeld.com/
Quercuskid
Regular
Nothing on ABC!
Food4 thought
Regular
Fact Finder
Top 20
Arijit Mukherjee
Principal Scientist, Embedded Devices & Intelligent Systems at TCS Research2mo · Edited
"Efficient Time Series Classification using Spiking Reservoir" - accepted at #IJCNN2022...despite the heat, the morning seemed sweeter
This is the fifth research paper from our Neuromorphic Computing team at Tata Consultancy Services - Research, on neuromorphic/SNN in three years, and third at IJCNN - the others being on spike encoding (both uni and multi-variate data) and action/gesture recognition from DVS and micro-doppler radar... Good job team...Sounak Dey, Arun M George, Dighanchal Banerjee. And thank you Arpan Pal for constant encouragement. #TCSResearch #neuromorphic #SNN
LikeComment
Share
To view or add a comment, sign in
Arijit Mukherjee
Principal Scientist, Embedded Devices & Intelligent Systems at TCS Research2mo · Edited
Cometh the darling of capital...just in case you forgot.
LikeComment
Share
To view or add a comment, sign in
Arijit Mukherjee
Principal Scientist, Embedded Devices & Intelligent Systems atArijit Mukherjee
Principal Scientist, Embedded Devices & Intelligent Systems at TCS Research2mo
Our whitepaper on Neuromorphic Computing and Edge Intelligence is now live at https://lnkd.in/g7WiuzHw as part of our research on the topic at Embedded Devices & Intelligent Systems lab or Tata Consultancy Services - Research. A big thanks to my coauthors Sounak Dey and Vedvyas Krishnamoorthy for putting in tremendous effort into this. And thanks to Arpan Pal, Balamuralidhar P for continuous encouragement in this particular area of research. Thanks also to Manan Suri for regular inputs as our research advisor in this area. #TCSResearch #EdgeIntelligence #ArtificialIntelliegence #NeuromorphicComputing
Creating Futuristic Edge Systems with Neuromorphic Computing
tcs.com
Learning
Learning to the Top 🕵♂️
Thanks F4T,Wishing I was there for a happy holiday
I love Vietnam
After 3 years of covid/lockdown. Its nice to be back VN.
Learning
Last edited:
Dhm
Regular
Maybe I have rose coloured glasses but surely If we are as good as management and the 1000 eyes say we are there would have been at least one category that we would have come close to winning.
AI/Machine learning
Automotive/Autonomous Technologies
Industrial IoT
Industrial Sensors
Optical and Cameras
We know we are amazing, but it seems the rest of the computer world isn’t as yet looking in our direction.
Still holding firm, but frustrated.
For the golfers amongst us, Dornoch tomorrow.
Thanks for posting Jesse. I didn’t realise that Mercedes highlight BrainChip on their website for the World to see. Awesome!!!!
TheUnfairAdvantage
Regular
Don’t like to play devils advocate, but he didn’t directly answer the question.
TheUnfairAdvantage
Regular
Thank you for answering, but forgive me, it was a rhetorical question.
Companies equate growth by percentage after stating actual revenue in $
I am making a guesstimate that this June quarter will contain a minimum $3m income consisting of licence and engineering fees.
September will increase by 50% and December the same. Put that in your calculators and you should see about $6.75m income for December quarter (or thereabouts).
From then on I would imagine growth to increase exponentially and that is when the real action begins.
Last edited:
Fact Finder
Top 20
Brainchip did not qualify:
“Recognizing the Industry's Best Innovations & Individuals
Have you introduced a ground-breaking new sensor technology this year or worked with a magnificent colleague or team? If so, congratulations! Now, let’s tell the community about it. For over two decades, the Best of Sensors Awards has shone a spotlight on the best and most innovative products, technologies, teams, and people in the sensors industry. Presented by Sensors Converge and Fierce Electronics, the goal of the awards program is to honor and promote wide recognition of the industry’s most transformative technologies and teams. Submissions for the 2022 program are currently closed.”My opinion only DYOR
FF
AKIDA BALLISTA
No patents for AnotherBrain but there are a few for Another Brain.
https://worldwide.espacenet.com/pat...ication/WO2021058466A1?q=pa = "another brain"
Maisonnier: this seems to be one of his last inventions for Softbank Robotics:
US10481270B2 Device for detecting an obstacle by means of intersecting planes and detection method using such a device
The nearest it gets to NNs is a reference to "analytic means".
A bit of background on Maisonnier:
https://robohub.org/bruno-maisonnier-moves-on-from-aldebaran/
Bruno Maisonnier moves on from Aldebaran
20150223Farewell and thank you to Bruno Maisonnier, the founder and CEO of Aldebaran Robotics, which is now 95% owned by Softbank. Softbank had previously acquired a majority stake in the ground breaking French robotics company which created the humanoid NAO. Together Aldebaran and Softbank Robotics developed Pepper, the ‘world’s first robot that reads emotions’. Pepper is on display in Softbank and Nestle stores in Japan and there are somewhat delayed plans for Pepper’s sale in the US later in 2015.
...
Maisonnier has agreed to sell his remaining shares in Aldebaran, step down as CEO and will become a Special Advisor to Masayoshi Son, the President of Softbank Corp. In a press release from Aldebaran, February 23rd, Maisonnier says that he wants to step back from the day to day operations of growing a robotics company and reflect on the changes that have occurred in the world, analyzing and integrating them back into the world of robotics.
WO2021156271A1 ANOMALY DETECTOR, METHOD OF ANOMALY DETECTION AND METHOD OF TRAINING AN ANOMALY DETECTOR
Priority: 20200205
1. A method of constructing an anomaly detector for detecting an anomaly in a digital sample of a predetermined type and predetermined first resolution, said method comprising:
- exposing a teacher neural network trained to extract features from digital data sets, to a plurality of digital samples of a training dataset of said predetermined type, to extract features representing each said digital sample at one or more levels;
- exposing an auto-encoder to each said digital sample to reconstruct features representing said digital sample at one or more levels;
- determining a difference value reflecting the difference between said extracted features and respective said reconstructed features for each said sample; and
- repeating said steps of reconstructing features representing said training dataset with further said parameters until a minimal said difference value is obtained across said training dataset.
An anomaly detector uses two neural networks, the first, a general purpose classifying convolutional neural network operates as a teacher neural network, while a second neural network in an auto-encoder type configuration. Each of the two neural networks receives the same input stream, and generates respective feature outputs at different levels, corresponding to different resolutions for image data. The respective outputs of the two neural networks are compared at each level, and the resulting difference values consolidated across the difference levels to obtain a final difference value. In a training phase this difference value is used to drive the determination of the weights and biases of the auto-encoder, so as to obtain a auto-encoder trained for a particular input type, under the influence of the teacher neural network. In an operational mode, the difference value is compared to a threshold to determine whether a particular sample is anomalous or not. In certain embodiments, difference values a different levels may be scaled so as to be superimposed at a common resolution, thereby providing an error map indicating the location of anomalous values across the sample.
Last edited:
Similar threads
