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Looks like an update from them.
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BRN Discussion Ongoing
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Learning
Learning to the Top 🕵♂️
@Diogenese
Is this too early to for Akida.
"In particular for thinly populated point clouds, neural networks, such as, for example, pulsed neural networks, SNNs, which have peak-based processing, are therefore very well suited for a hardware implementation of algorithms for machine learning with reduced power consumption.:
Learning 🏖
Is this too early to for Akida.
"In particular for thinly populated point clouds, neural networks, such as, for example, pulsed neural networks, SNNs, which have peak-based processing, are therefore very well suited for a hardware implementation of algorithms for machine learning with reduced power consumption.:
DE102019128661A1 - Processing of measurement data from an active optical sensor system - Google Patents
A method for processing measurement data from an active optical sensor system (4), wherein the sensor system (4) repeatedly scans a field of view (5) during successive measurement cycles, includes the processing of a first set (6a) of scanning points obtained by scanning a first part (5a) of the...
patents.google.com
Learning 🏖
alwaysgreen
Top 20
75 million was the number my mate advised me, which I thought was outrageous but seems like it was A LOT more! $250 million. Could you imagine if Brainchip spent like they do!
It predates the announcement of the valeo/BrainChip joint development.
https://smallcaps.com.au/brainchip-joint-development-agreement-akida-neuromorphic-chip-valeo/
BrainChip signs joint development agreement for Akida neuromorphic chip with Valeo
ByGeorge Tchetvertakov
-
June 9, 2020
However, this one, invented by Sambit Mohapatra, one of the inventors DE102019128661, which reads a bit like foveated imaging, dates from 20210401, which is 10 months after the agreement.
https://patents.google.com/patent/DE102021108308A1/en?inventor=Sambit+Mohapatra&sort=new
The invention relates to a computer-implemented method for processing a set of scan points (P) obtained by means of an active optical sensor system (3) of a motor vehicle (1), the set of scan points (P) being in the form of a 2D image (11) is fed as input to a neural network (9) for processing the set of scan points (P) in the form of the 2D image (11), the neural network (9) having a backbone part (10) configured as a convolutional neural network (10) is formed, which extracts features from the 2D image (11) and outputs a final feature map (15) as a result. The backbone part (10) comprises a plurality of feature extraction blocks (B1, B2, B3, B4, B5) and at least one upsampling block (U), with at least a first feature extraction block (B1, B2, B3, B4, B5) of the plurality of feature extraction blocks (B1, B2, B3, B4, B5) receives the 2D image (11) as input (I) and provides first and second outputs (O1, O2) that differ with respect to their spatial resolution, and the at least an upsampling block (U) is supplied with a first input (11) and a second input (12) which differ with respect to their spatial resolution and which are provided on the basis of the 2D image (11), the at least one upsampling block (U) merges the first and second inputs (11, 12) and provides the final feature map (15) as a function of the merged first and second inputs (11, 12).
cosors
👀
Nothing against a jump of 65% can go off. After that we see further.)
The fact that this is pre-Brainchip/Valeo JV is illustrated by the following:
"According to several implementations, the first set of sampling points, in particular as input, is fed into an artificial neural network, in particular by the computing system, in order to carry out the second process.
The neural network, which can be understood as a software algorithm, is trained in particular for one or more processes for machine vision, for example including the object detection and / or segmentation and / or classification process.
According to several implementations, the neural network is implemented as a pulsed neural network, SNN, or a convolutional neural network, CNN."
The after-dinner mints.
I'd like to see a small percentage of each share sale paid to the company that issued the shares. This would be beneficial for the company and the shareholder, and might give the bots pause for thought.
Learning
Learning to the Top 🕵♂️
White Horse
Regular
Article in REUTERS as well.@alwaysgreen
Here ya go mate.
ASX Ltd: Watchdog investigates sharemarket operator over failed tech project
The Sydney Morning Herald
ASX Ltd: Watchdog investigates sharemarket operator over failed tech project
ByClancy Yeates
March 29, 2023 — 4.16pm
The corporate watchdog is investigating whether market operator ASX Ltd or its directors breached corporate laws in their handling of a failed technology project to overhaul critical financial infrastructure.
In a sign of further fallout from a long-running project that was junked last year, ASX Ltd on Wednesday revealed it was under investigation by the Australian Securities and Investments Commission over the CHESS replacement project.
ASIC is investigating the ASX over potential breaches relating to the ill-fated CHESS replacement project.CREDIT:AFR
The project had attempted to replace the ASX’s core clearing and settlement system with blockchain-based technology, but it was beset by repeated delays. Last November, the company dumped the project, resulting in $255 million in charges.
The ill-fated project has sparked tougher regulatory scrutiny of ASX Ltd, with the country’s top financial regulators last year blasting the company over the failure, and demanding ASX Ltd produce a series of reports.
Now, ASIC was investigating “suspected contraventions” of corporate laws, ASX Ltd said. It said the watchdog would consider whether ASX Ltd, and/or its officers and directors had breached various sections of the Corporations Act, including those relating to continuous disclosure, misleading and deceptive conduct, and false or misleading statements. The regulator was also investigating whether there were breaches of the ASIC Act, including sections dealing with misleading and deceptive conduct and false or misleading representations.
ASX chief executive Helen Lofthouse has said the company needed to revisit the design of the CHESS project.CREDIT:MICHAEL QUELCH
ASX said the probe into suspected contraventions would look at ASX Ltd’s oversight of the CHESS replacement project, and statements and disclosures it had made on the status of the program. “ASX takes its obligations very seriously and will co-operate fully with ASIC,” ASX Ltd said.
ASX Ltd, as well as operating key financial market infrastructure, is also responsible for monitoring and enforcing compliance with the market’s listing rules, which include rules on continuous disclosure. ASX Ltd has a distinct compliance division that handles the compliance of listed companies. ASIC is responsible for supervising ASX and monitoring ASX’s compliance with the listing rules.
Despite ASIC’s investigation, investors did not appear overly worried about the potential impact on ASX, with its shares rising 0.2 per cent to $64.75 by late afternoon.
An ASIC spokesman confirmed the investigation but did not comment further on the matter. “ASIC acknowledges today’s market announcement by ASX Ltd and confirms that it has commenced an investigation as referred to in the announcement,” he said.
RELATED ARTICLE
Blockchain
ASX faces more RBA, ASIC scrutiny after collapse of blockchain project
ASX received the news of ASIC’s investigation on Tuesday night, and on Wednesday ASX Ltd chief executive Helen Lofthouse addressed staff in a meeting on the matter. When the company announced it was dumping the project last year, Lofthouse said it had become clear the company needed to revisit the design of the CHESS project.
CHESS, a system developed in the 1990s, is used to underpin trading on Australia’s sharemarket. In 2015, ASX Ltd started looking at replacement options. In 2016, it selected a partner to develop and test a platform that would use distributed ledger technology.
But the ambitious program was repeatedly delayed before being abandoned in November, a move that left other firms in the financial sector frustrated after the investments they had made in the project. In February, ASIC ordered ASX Ltd to provide two extra reports on the bungled project.
Regulators had also previously said they were considering further action.
The Business Briefing newsletter delivers major stories, exclusive coverage and expert opinion. Sign up to get it every weekday morning.
The Sydney Morning Herald
https://www.reuters.com/technology/...nst-asx-over-software-replacement-2023-03-28/
toasty
Regular
Sorry if I'm slow but what does this have to do with BRN????
Haven't they heard of progress payments, emphasis on "progress"?
TheFunkMachine
seeds have the potential to become trees.
https://www.epicos.com/article/6117...prodigy-will-be-faster-nvidia-and-intel-chips
Tachyum on LinkedIn: #ai #ew23 #edge #embedded #iot #software #ip
Embedded World 2023: VDC’s “Embeddy” Award Winners - Akida 2nd Generation: Direct support for the embedded AI processor market, which is rapidly growing…www.linkedin.com
View attachment 33131
In this old article from 2020 Tachyum mentions Spiking neural networks and also a power saving budget of 10x for their new chips boasting to be faster then Intel and Nvidia’s fastest chips. Interesting
“Tachyum's Prodigy can run HPC applications, convolution AI, explainable AI, general AI, bio AI and spiking neural networks, as well as normal data center workloads on a single homogeneous processor platform with its simple programming model”
“With a product that is faster than the fastest Intel Xeon or NVIDIA A100 Chips, Prodigy is nearing all of its stated objectives and remains on track to make its debut as planned next year.”
“It will also allow Edge developers for IoT to exploit its low power and high performance, along with its simple programming model to deliver AI to the edge.”
“Prodigy outperforms the fastest Xeon processors at 10x lower power on data center workloads, as well as outperforming NVIDIA’s fastest GPU on HPC, AI training and inference”
“The 125 HPC Prodigy racks can deliver a 32 tensor EXAFLOPS. Prodigy’s 3X lower cost per MIPS and 10X lower power translates to a 4X lower data center Total Cost of Ownership (TCO), enables billions of dollars of savings for hyperscalers such as Google, Facebook, Amazon, Alibaba, and others.”
Question is, why would Tachyum share Akida 2.0 on linked in?
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alwaysgreen
Top 20
It's just about how ASX invested $250 million to develop a blockchain system to curb bot trading then scrapped it without implementing it. Essentially the tech was supposed to be able to put an end to the ridiculous bot trading that has helped the shorters drag down shares like Brainchip one share trade at a time. The blockchain tech was meant to ensure every trade was traceable etc.
The undertone/insinuation is that the ASX was pressured to just keep it as is so traders can keep up their manipulation without fear of sanction.
TheFunkMachine
seeds have the potential to become trees.
I just came across this stock of the day pick from ausbiz.
The level of misinformation, negative sentiment and just sheer BS in this discussion makes me think we have some scared shorters on our hand.
It’s sad that these so called market analysts has not even taken their time to understand the fundamentals of the company they discuss or the significance of this 2generstion Akida announcement. Laughable. They are still calling brainchip a moms and dad punt «pre revenu» highly speculative etc.
Do your research guys or you will be fooled by these fools.
https://www.epicos.com/article/6117...prodigy-will-be-faster-nvidia-and-intel-chips
In this old article from 2020 Tachyum mentions Spiking neural networks and also a power saving budget of 10x for their new chips boasting to be faster then Intel and Nvidia’s fastest chips. Interesting
“Tachyum's Prodigy can run HPC applications, convolution AI, explainable AI, general AI, bio AI and spiking neural networks, as well as normal data center workloads on a single homogeneous processor platform with its simple programming model”
“With a product that is faster than the fastest Intel Xeon or NVIDIA A100 Chips, Prodigy is nearing all of its stated objectives and remains on track to make its debut as planned next year.”
“It will also allow Edge developers for IoT to exploit its low power and high performance, along with its simple programming model to deliver AI to the edge.”
“Prodigy outperforms the fastest Xeon processors at 10x lower power on data center workloads, as well as outperforming NVIDIA’s fastest GPU on HPC, AI training and inference”
“The 125 HPC Prodigy racks can deliver a 32 tensor EXAFLOPS. Prodigy’s 3X lower cost per MIPS and 10X lower power translates to a 4X lower data center Total Cost of Ownership (TCO), enables billions of dollars of savings for hyperscalers such as Google, Facebook, Amazon, Alibaba, and others.”
Question is, why would Tachyum share Akida 2.0 on linked in?
How do you like your ALUs, scrambled or fried?
Tachyum
US10915324B2 System and method for creating and executing an instruction word for simultaneous execution of instruction operations 20180816 DANILAK RADOSLAV
a processing architecture and related methodology that utilizes location-aware processing that assigns Arithmetic Logic Units (ALU) in a processor to instruction operations based on prior allocations of ALUs to prior instruction operations. Such embodiments minimize the influence of internal transmission delay on wires between ALUs in a processor, with a corresponding significant increase in clock speed, reduction in power consumption and reduction in size.
A methodology for creating and executing instruction words for simultaneous execution of instruction operations is provided. The methodology includes creating a dependency graph of nodes with instruction operations, the graph including at least a first node having a first instruction operation and a second node having a second instruction operation being directly dependent upon the outcome of the first instruction operation; first assigning the first instruction operation to a first instruction word; second assigning a second instruction operation: to the first instruction word upon satisfaction of a first at least one predetermined criteria; and to a second instruction word, that is scheduled to be executed during a later clock cycle than the first instruction word, upon satisfaction of a second at least one predetermined criteria; and executing, in parallel by the plurality of ALUs and during a common clock cycle, any instruction operations within the first instruction word.
D
Deleted member 118
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Elon Musk among experts urging a halt to AI training
Elon Musk among those calling for training in powerful artificial intelligence to be suspended.
www.bbc.com
Kachoo
Regular
I remember a presentation back in 2020 about how Akida could communicate with other drones on the edge and teach them.
I wonder if this is has anything to do with Akida or not? I know not all will be us but this is pretty cool IMO.
www.linkedin.com
I wonder if this is has anything to do with Akida or not? I know not all will be us but this is pretty cool IMO.
Edge Impulse on LinkedIn: New algorithm keeps drones from colliding in midair
Massachusetts Institute of Technology researchers have developed a a trajectory-planning system that enables drones working together in the same airspace to…
equanimous
Norse clairvoyant shapeshifter goddess
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