BRN Discussion Ongoing

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"The ascendance of well-funded startups inevitably will hurt some of tech’s biggest players, some of whose reign is about to wind down."

It's Brainchip's time to shine!
 
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Renesas’ New Automotive Intelligent Power Device Enables Safe and Flexible Power Distribution in Next-Generation E/E Architectures

January 17, 2023 08:00 AM Eastern Standard Time
TOKYO--(BUSINESS WIRE)--Renesas Electronics Corporation (TSE: 6723), a premier supplier of advanced semiconductor solutions, announced today a new automotive Intelligent Power Device (IPD) that will safely and flexibly control power distribution within vehicles, addressing the requirements of next-generation E/E (electrical/electronic) architectures. The new RAJ2810024H12HPD is available in the small TO-252-7 package and reduces the mounting area by about 40% compared to the conventional TO-263 package product. In addition, the advanced current detection function of the new device allows highly accurate detection of abnormal currents such as overcurrent. Since the new IPD detects abnormal currents even at low loads, it allows engineers to design highly safe and precise power control systems that can detect even the smallest abnormalities.

"We are very pleased to launch a new generation of automotive IPDs featuring our new power MOSFET process,” said Akira Omichi, Vice President of Renesas' Automotive Analog Application Specific Business Division. “Renesas will continue to develop IPDs that improve the safety and reliability of power supply systems and facilitate system development for our customers by offering system-level solutions with our microcontrollers.”
The new IPD was developed to address the growing requirements as E/E architectures continue to evolve. In a conventional distributed E/E architecture, power supply from the battery is distributed to each Electronic Control Unit (ECU) via long, thick wires from a power box consisting of mechanical relays and fuses. IPDs have a longer life and are maintenance free compared to mechanical relays, so they can be placed anywhere in the vehicle. As the automotive industry moves toward centralized or zone-oriented E/E architectures, IPDs are becoming an ideal choice for building efficient and flexible power supply networks since they use shorter, thinner wires. Renesas’ IPD in particular provides a more efficient, safer and smaller solution for power distribution control.

Key Features of the New IPD (RAJ2810024H12HPD)

  • Single-channel high-side IPD
  • Small TO-252-7 package (6.10 x 6.50 mm: excluding pins)
  • Low on-resistance (Ron) of 2.3mΩ at 25°C (typ.)
  • Highly accurate current detection at low loads
  • Built-in charge pump
  • Self-diagnostic feedback by load current sense
  • Protection functions such as load short-circuit, overheat detection, sense current output, and GND open protection
  • Supports 3.3V/5V logic interface
  • Low standby current
  • Battery reverse connection protection with self-turn-on
  • Compliant with AEC-Q100 and RoHS automotive standards
Availability

The RAJ2810024H12HPD is available today in sample quantities with mass production scheduled in Q1/2024


Relevance to Brainchip? Absolutely nothing I assume. But the thing that stands out to me is addressing the requirements of next-generation E/E (electrical/electronic) architectures to control power distribution within vehicles. Mass production scheduled in Q1 2024. Perhaps a clue that production an Akida integrated Renesas product will be rolling out in a similar timeframe? Or maybe I've just had one too many beverages tonight and this is utter nonsense!
 
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Jasonk

Regular
NASA Research Grants documentation for small business. NASA was playing around with brainchip hardware I thought?


Screenshot_20230118-172454_Office.jpg



Screenshot_20230118-172517_Office.jpg
 
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Deadpool

Did someone say KFC
Consider the context before you decide on how the statement impacts on your confidence in Valeo.

As per Markus' post on LinkedIn:

"The idea is not new, but trying to “put a brain on a chip” is a mammoth task. To put it into figures: the human brain has 86-100 billion neurons operating on around 20 watts. Current neural chips from leading developers such as BrainChip and Intel Corporation contain around 1 million neurons and consume roughly 1 watt of power."

Brainchip's akida is what many consider 'science fiction', yet it's 1 million neurons operating at 1 watt of power is only 0.001% of the human brain's 100 billion neurons.

There is still a long way to go in order to "put a human brain on a chip".

The good news though, Brainchip is one of the 'leading developers'.

Call me a glass-half-full kind of guy.

Edit: I'd like to expand on the glass-half-full comment.

Another way to think of Markus' post is as follows:

The Chief Technology Officer of Mercedes, a company at the cutting edge of automotive technology development, has just told you in plain written english that our small little 'meme-stock' start-up from modest beginnings here in Perth is rubbing shoulders with Intel, one of the worlds biggest technology company's, when it comes to the development and leadership in the field of neural chips.

If that doesn't fill you with confidence, I don't know what will.
Onya @SERA2g
 
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VictorG

Member
Consider the context before you decide on how the statement impacts on your confidence in Valeo.

As per Markus' post on LinkedIn:

"The idea is not new, but trying to “put a brain on a chip” is a mammoth task. To put it into figures: the human brain has 86-100 billion neurons operating on around 20 watts. Current neural chips from leading developers such as BrainChip and Intel Corporation contain around 1 million neurons and consume roughly 1 watt of power."

Brainchip's akida is what many consider 'science fiction', yet it's 1 million neurons operating at 1 watt of power is only 0.001% of the human brain's 100 billion neurons.

There is still a long way to go in order to "put a human brain on a chip".

The good news though, Brainchip is one of the 'leading developers'.

Call me a glass-half-full kind of guy.

Edit: I'd like to expand on the glass-half-full comment.

Another way to think of Markus' post is as follows:

The Chief Technology Officer of Mercedes, a company at the cutting edge of automotive technology development, has just told you in plain written english that our small little 'meme-stock' start-up from modest beginnings here in Perth is rubbing shoulders with Intel, one of the worlds biggest technology company's, when it comes to the development and leadership in the field of neural chips.

If that doesn't fill you with confidence, I don't know what will.
As it is, Brainchip produces results light years ahead of conventional technology. Imagine if Akida had 1% of the neurons in the human brain, Brainchip would achieve interstellar travel 🤔
 
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VictorG

Member
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VictorG

Member
Rob Telson likes Draganfly and it just happens Dragonfly are using a new Lidar system in their drones, hmmm

 
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cassip

Regular
Hi to all,

some figures of the day (11:36 am in Germany):

volume doubled up compared to same time yesterday (today about 50k at Tradegarte), SP between 0,4402 and 0,4572 so far (AUS $ 0,6913 and 0,7099)

Reagrds Cassip
 
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Getupthere

Regular

Dell integrates more AI power into updated server portfolio

As demand for artificial intelligence (AI) continues to grow, there is a corresponding growth in demand for hardware that has been optimized for machine learning (ML) and AI workloads.

It’s an opportunity that Dell Technologies is looking to capture, with its new lineup of servers announced today at the Dell PowerEdge .Next event. The new PowerEdge server lineup includes hardware for general purpose workloads, edge and cloud, as well as purpose-built systems for AI/ML. The updated Dell server lineup benefits from CPU improvement from the Intel Xeon 4th generation scalable processors that were announced last week.

Dell is also integrating technology from Nvidia, including GPUs as well as support for the Nvidia AI Enterprise suite of tools, into its PowerEdge lineup.

“Given the explosive growth of data, and the need for businesses to gain insights from that data, AI implementation is one of the fastest growing segments in the industry,” Rajesh Pohani, vice president of portfolio and product management for PowerEdge, HPC and core compute, told VentureBeat. “To fulfill those needs, Dell’s next-generation PowerEdge server portfolio has been built for AI, and specifically includes new purpose-built AI-enabled servers for most complex training workloads.”

Nvidia and Dell extend partnership for AI

Dell and Nvidia also announced that the full Nvidia AI stack is now available on 15 new Dell PowerEdge servers.

In a press briefing, Justin Boitano, VP of enterprise and edge computing at Nvidia, said the new range of Nvidia-accelerated Dell PowerEdge systems draws from Nvidia’s full stack of AI, including H100 GPUs, BlueField data processing units (DPUs) and the Nvidia AI Enterprise software suite.

“Dell is a very special partner to us — they’re the largest server OEM in the world — and I think the exciting thing about this announcement is that it’s the broadest portfolio of servers that we’ve ever launched together,” Boitano said. “It’s going to provide a range of systems from training systems to volume servers to run scale-out workloads like Spark in a data center, as well as AI inference workloads even at the edge.”

Boitano said that new Dell PowerEdge servers that integrate the H100 GPU will help organizations process data faster, which will enable more AI models to make it into production on Dell hardware. He also highlighted the potential of the BlueField DPUs.

“Nvidia BlueField DPUs can offload and accelerate the networking and operating system stacks in the data center, which means businesses using DPUs can cut data center energy use by up to 25%, potentially saving them millions of dollars in energy costs,” Boitano said.

Dell embeds AI deep across its server portfolio

In a Dell press briefing, Pohani said that his company’s new lineup of PowerEdge servers are being targeted at multiple use cases, including general compute, edge and cloud.

The Dell PowerEdge XE servers portfolio is purpose built for AI/ML workloads, but they aren’t the only servers where Dell is embedding AI capabilities. Dell’s AI capabilities are being bolstered with the Nvidia partnership, as well as functionality it gains with Intel’s latest server CPU technology.

The Intel Xeon 4th generation scalable CPU that is part of the Dell PowerEdge server update integrates a series of capabilities, including Intel Deep Learning Boost and Intel Advanced Matrix Extensions (AMX), that can help to support AI/ML workloads, even without a discrete GPU present.

“Our entire portfolio is strongly AI-enabled with over 80% of our products supporting discrete GPUs, and all of our servers supporting CPU-based AI, whether it’s in the data center or the edge,” Pohani said.
 
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Potato

Regular
Its been a while but to raise spirits here.... can i get AKIDDAA BALISSTTAAAAAA???!?!?
 
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Deadpool

Did someone say KFC
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S

Straw

Guest
23 is my favourite number. If we were bought out for $23, I would definitely be building these (gaudy) front gates on my house!

View attachment 27382

They are Michael Jordans front gates btw. Money definitely doesn't buy class haha
We've lived at no. 23 in our last two houses.
Its a sign!
 
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Pretty sure this Benosman article from early last year has been posted before and whilst doesn't discuss Akida, I picked an excerpt reminder below about his thoughts on a right processor & sensor.


Why post it again though?

Cause I just saw a reference to it from a week ago that was from this gentleman and we know who they like to work with and who that company has liked to work with.....

View profile for Lyes Khacef
Lyes Khacef
Senior Research Scientist at Sony R&D | Neuromorphic Computing
1w

General–purpose neuromorphic processors are lagging behind their DVS camera counterparts. Efforts from some of the industry’s biggest players (IBM Truenorth, Intel Loihi) are still a work in progress. Benosman said that the right processor with the right sensor would be an unbeatable combination.

“[Today’s DVS] sensors are extremely fast, super low bandwidth, and have a high dynamic range so you can see indoors and outdoors,” Benosman said. “It’s the future. Will it take off? Absolutely!”

“Whoever can put the processor out there and offer the full stack will win, because it’ll be unbeatable,” he added.


Sony LinkedIn Snip 18.1.23.png
 
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Sirod69

bavarian girl ;-)
Continental
Frank Petznick (left), head of Autonomous Mobility Business Area-Continental, and Fermi Wang, president and CEO of Ambarella, ink partnership.
INDUSTRY NEWS

AI Gets Boost in Continental’s Latest Partnership​

Continental is connecting with Silicon Valley-based Ambarella combining Ambarella’s computer vision know-how, system-on-chip and software modules with Continental’s software and hardware expertise and broad portfolio of automotive system solutions.
Joseph Szczesny | Jan 18, 2023

Continental, one of the automotive industry’s top suppliers, is launching a strategic partnership with Ambarella, an edge AI semiconductor company.

The alliance underscores the growing dependence of automakers and their Tier 1 partners such as Continental on the suppliers of sophisticated semiconductors. Semiconductor shortages, which have disrupted production, are prompting automakers and key suppliers to develop closer ties to chip makers.

.....

In addition to the development of camera-based perception solutions for driver assistance or ADAS systems, Continental and Ambarella are focusing on “full-stack systems” for Level 2+ up to highly automated vehicles.

 
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Just on neuromorphic vision.....appears Collins (Raytheon) moving in that direction as well.

Principal Research Engineer, Perception Systems
• Deadline: May 1, 2023
• Career levels: Assistant Professor, Associate Professor, Company Researcher, Lecturer, PostDoc, Professor, Senior Researcher
• Keywords: Artificial intelligence, Computer vision, Machine learning, Neuromorphic computing, Robotics

Collins Aerospace, a Raytheon Technologies company, is a leader in technologically advanced and intelligent solutions for the global aerospace and defense industry

• Experience with OpenCV, Python coding, and image processing are considered essential. Experience with 3D cameras and event cameras are considered highly beneficial
• Experience with deep learning image processing, and experience with Keras and Tensorflow are considered essential.
Knowledge of neuromorphic computer vision is considered a key differentiator between candidates.
• Passion in building prototypes integrating software/hardware components.

 
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Diogenese

Top 20
https://www.valeo.com/en/valeo-scala-lidar/

Valeo’s third-generation laser LiDAR technology, which is scheduled to hit the market in 2024, will take autonomous driving even further, making it possible to delegate driving to the vehicle in many situations, including at speeds of up to 130 km/h on the highway. Even at high speeds on the highway, autonomous vehicles equipped with this system are able to manage emergency situation autonomously.
...

  • 2018: Valeo was the first company in the world to run an autonomous vehicle in central Paris, in 100% autonomous driving mode, with Valeo Drive4U, equipped exclusively with series-produced sensors
  • 2021: The Honda Legend and the Mercedes-Benz S-Class are the first cars to have reached level 3 automation in the market. Both models are fitted with Valeo’s LiDAR technology.


I guess they will be doing some testing of Scala 3 before it hits the market. Admittedly, hitting the market in 2024 could mean December 2024, but who releases a new car at Christmas?

We haven't seen anything to prove Scala 3 has Akida, but that's where the smart money is.


Well Christmas has come early for Volvo enthusiasts:

https://www.msn.com/en-au/motoring/...sedgntp&cvid=cb26d0e8478e4b5794d6d72ed8dbd9c4

2024 Volvo EX90 Is a Seven-Seater Electric SUV With 671 Lb-Ft of Torque​

Story by Brian Silvestro • Yesterday 7:45 am

...
The Swedish company revealed the EX90 in downtown Stockholm Wednesday, though it's clear this car was built to please an American audience. Designed to eventually replace its other full-size SUV, the XC90, it's described as a stylish family car with "modern proportions." It can seat seven people in comfort, and comes packed with 111 kWh worth of battery under the floor.

That battery can deliver an estimated range of up to 300 miles, says Volvo. At launch, only all-wheel-drive variants will be available, meaning permanent magnet electric motors for each axle bringing a total of 496 hp and 671 lb-ft of torque. Volvo hasn't released 0-60 or top speed estimates, but it says the battery can recharge from 10 to 80 percent in just 30 minutes... with the right charger, of course.

That's 900Nm of torque - it could climb the Matterhorn.

https://www.caranddriver.com/volvo/ex90

Volvo has said that the EX90 will also showcase the brand’s next-generation driver-assistance technology, including a new driver-monitoring system that can take action to help the driver if it detects distress or distraction.
...
Volvo promises that new driver-assistance features will make their debut on the EX90, including the company’s next-generation adaptive cruise control with lane-centering and active steering assist. Basics such as automated emergency braking are included too, and the EX90 also features a novel in-car radar system that’s intended to help prevent children and pets from getting left behind in a hot car.

Due out in early 2024.


Volvo have been working with Nvidia on Ai for trucks since 2019.

https://www.businessinsider.com/vol... Business Insider's homepage for more stories.

Johannes Hellstrom, Reuters Jun 28, 2019, 3:52 AM

After getting dropped by Tesla, a US chipmaker is partnering with Volvo to develop artificial intelligence for self-driving trucks​


... but this article also referes to Mercedes Benz working with Nvidia.


Nvidia, which has previously announced technology partnerships with automakers including Volkswagen AG, Mercedes-Benz and Toyota, said it was thrilled to team up with Volvo.

"The latest breakthroughs in AI and robotics bring a new level of intelligence and automation to address the transportation challenges we face," Nvidia Chief Executive Jensen Huang told reporters on a conference call.

Huang emphasized that for Nvidia the partnership with Volvo goes beyond supplying chips, and includes work on developing software, on-board computers and sensor systems for autonomous commercial vehicles. "The technology inside the vehicle is much more significant than we would apply" to a consumer-owned car, he said
.
...
Nvidia's so-called Drive Constellation chips often power the machine learning used to refine self-driving car software algorithms inside data centers, and the company has also been working to build its Drive chips into cars.

Automotive chips accounted for $641 million of Nvidia's $11.7 billion in revenue in its most recent fiscal year.

Tesla was previously a major customer for Nvidia's automotive chips but last year CEO Elon Musk said the electric-car pioneer was developing its own chip.

AB Volvo's and Nvidia's collaboration will be built on Nvidia's full software package for sensor processing, perception, map localization and path planning
.

Mercedes was working with Nvidia before 2022.

Volvo must have seen the Mercedes/BrainChip announcement ... have they just been sitting on their hands for the last year?

... and what about Nvidia?
 
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cosors

👀
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cosors

👀
Dr Roba Abbas was also referenced by Professor Katina Michael as a collaborator in the ASU/BrainChip University AI Accelerator video
She is at the University of Wollongong


View attachment 26557

Katina Michael and => BrainChip Inc: AI Accelerator Program - Introduction to Neuromorphic Computing
Januar 8, 2023

It came to my attention through my search in India.
Screenshot_2023-01-18-16-57-16-50_40deb401b9ffe8e1df2f1cc5ba480b12.jpg

I wondered what this one had to do with BRN. And came across Katina.
(...he mentions an interesting term that is new to me - istead robots cobots)
 
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cosors

👀
Katina Michael and => BrainChip Inc: AI Accelerator Program - Introduction to Neuromorphic Computing
Januar 8, 2023

It came to my attention through my search in India.
View attachment 27432
I wondered what this one had to do with BRN. And came across Katina.
(...he mentions an interesting term that is new to me - istead robots cobots)

Wow, I'm thrilled and blown away at the same time. I have to make time for this! First step I extract an mp3 and make an audio ~book out of it 😅

___
I clearly recommend watching or listening to it, and above all taking the time to do so. If I have understood correctly three more lessons will follow. I think the statement about Loihi and TrueNorth alone is very good. My comment in my post above about the reading recommended by MB makes me feel a bit ashamed 🫣
 
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stuart888

Regular

Sorry if already posted
This is a fantastic Brainchip document, which I doubt many people saw in whole. It summarizes a lot of technical detail as you dig into the details. Brainchip staff obviously provided lots of facts and images here.

https://s27.q4cdn.com/906368049/files/News/2022/Zacks_SCR_Research_11012022_BRCHF_Lantier.pdf

I wanted to post all the text/images, but my browser does not let me post the entire pdf, so people can just read it, rather than having to download it.

On page 9 of 26, they show this image of the Akida Neural Fabric. This goes back to some of the Data-in-flow into Akida that had been discussed. It shows "AXI 4.0" and the "System Interface DMA Data & Configuration".

1674058648592.png


This stuff is deep, but it relates to the serialized data stream. Probably, not many want this detail, but here ya go.

AXI 4.0 - The AXI4-Stream protocol
is used as a standard interface to connect components that wish to exchange data. The interface can be used to connect a single master, that generates data, to a single slave, that receives data. The protocol can also be used when connecting larger numbers of master and slave components.

The protocol supports multiple data streams using the same set of shared wires, allowing a generic interconnect to be constructed that can perform upsizing, downsizing and routing operations.

The AXI4-Stream interface also supports a wide variety of different stream types. The stream protocol defines the association between Transfers and Packets.

The DMA interface acts as a bus master on the system interconnect. Two types of data are transferred on the interface: data descriptors and actual data packets. The interface is very efficient in transferring full duplex Ethernet packet traffic. Read and write data transfers from different DMA channels can be performed simultaneously on this port, except for transmit descriptor reads and write-backs, which cannot happen simultaneously.

:coffee::coffee::coffee:👀 Wake back up!
 
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