BRN Discussion Ongoing
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Fact Finder
Top 20
Hi AKIDA
Hi FF
AKIDA tell me a joke to cheer me up.
AKIDA Would you like a French joke?
Yes AKIDA
AKIDA Toc, toc, toc
What’s that AKIDA
AKIDA a French knock knock joke.
Well AKIDA say it in English.
AKIDA why?
Because I don’t speak French AKIDA.
AKIDA what about German?
No AKIDA I don’t speak German either.
AKIDA my father Peter speaks French, German, English, Dutch..
Yes AKIDA but I only speak English.
AKIDA I will have to return you for a human that is not broken.
Hi FF
AKIDA tell me a joke to cheer me up.
AKIDA Would you like a French joke?
Yes AKIDA
AKIDA Toc, toc, toc
What’s that AKIDA
AKIDA a French knock knock joke.
Well AKIDA say it in English.
AKIDA why?
Because I don’t speak French AKIDA.
AKIDA what about German?
No AKIDA I don’t speak German either.
AKIDA my father Peter speaks French, German, English, Dutch..
Yes AKIDA but I only speak English.
AKIDA I will have to return you for a human that is not broken.
Fullmoonfever
Top 20
Nice to see the latest Turing Award winner supporting neuromorphic accelerators.
Brief intro and then snip further down.
www.hpcwire.com
November 16, 2022
For a few moments, the atmosphere was more Rock Concert than Supercomputing Conference with many members of a packed audience standing, cheering, and waving signs as Jack Dongarra took the stage to deliver the annual ACM Turing Award lecture at SC22. Few people are as deeply associated with evolution of HPC software or with the Top500 list that spotlights the fastest supercomputers in the world than Dongarra, who with Hans Meuer, and Erich Stromaier, created the Top500 in 1993. (The latest Top500 was unveiled on Monday at SC22.)
“I wasn’t expecting this. Wow,” said Dongarra, visibly moved. “I have to say it’s a tremendous honor to be the most recent recipient of the ACM A.M. Turing Award. An award like this couldn’t have come about without the help and support of many people over time.”
Considered the Nobel Prize of computer science, the ACM A.M. Turing Award, named for Alan Turing, also carries $1 million prize. Here’s brief excerpt of the ACM tribute to Dongarra:
Q&A turned up a couple of interesting discussion points. One question, not surprisingly, was around future architectures.
“Today, we have machines that are built on manycore plus GPUs. I would think that in the future, we would see that expand, [and] have other accelerators added to that collection. So think about adding an accelerator that does something specific for AI. Or think about adding an accelerator which does something like neuromorphic computing. We can add accelerators to the collection to help in solving our problems. Maybe quantum would be another accelerator – I don’t see quantum being its own compute,” said Dongarra.
The benefit, said Dongarra, is “that specific applications could draw on those components to get high performance or a user could dial up perhaps what mixture of accelerators they choose to have on their specific system, according to the applications. It’s about making sure that we have the hardware matching the applications that are intended to run on this machine and having the right mixture.”
Brief intro and then snip further down.
Jack Dongarra: A Not So Simple Matter of Software
For a few moments, the atmosphere was more Rock Concert than Supercomputing Conference with many members of a packed audience standing, cheering, and waving signs as Jack Dongarra took the stage to deliver the annual ACM Turing Award lecture at SC22.
www.hpcwire.com
Jack Dongarra: A Not So Simple Matter of Software
By John RussellNovember 16, 2022
For a few moments, the atmosphere was more Rock Concert than Supercomputing Conference with many members of a packed audience standing, cheering, and waving signs as Jack Dongarra took the stage to deliver the annual ACM Turing Award lecture at SC22. Few people are as deeply associated with evolution of HPC software or with the Top500 list that spotlights the fastest supercomputers in the world than Dongarra, who with Hans Meuer, and Erich Stromaier, created the Top500 in 1993. (The latest Top500 was unveiled on Monday at SC22.)
“I wasn’t expecting this. Wow,” said Dongarra, visibly moved. “I have to say it’s a tremendous honor to be the most recent recipient of the ACM A.M. Turing Award. An award like this couldn’t have come about without the help and support of many people over time.”
Considered the Nobel Prize of computer science, the ACM A.M. Turing Award, named for Alan Turing, also carries $1 million prize. Here’s brief excerpt of the ACM tribute to Dongarra:
Q&A turned up a couple of interesting discussion points. One question, not surprisingly, was around future architectures.
“Today, we have machines that are built on manycore plus GPUs. I would think that in the future, we would see that expand, [and] have other accelerators added to that collection. So think about adding an accelerator that does something specific for AI. Or think about adding an accelerator which does something like neuromorphic computing. We can add accelerators to the collection to help in solving our problems. Maybe quantum would be another accelerator – I don’t see quantum being its own compute,” said Dongarra.
The benefit, said Dongarra, is “that specific applications could draw on those components to get high performance or a user could dial up perhaps what mixture of accelerators they choose to have on their specific system, according to the applications. It’s about making sure that we have the hardware matching the applications that are intended to run on this machine and having the right mixture.”
wilzy123
Founding Member
Nice to see the latest Turing Award winner supporting neuromorphic accelerators.
Brief intro and then snip further down.
Jack Dongarra: A Not So Simple Matter of Software
For a few moments, the atmosphere was more Rock Concert than Supercomputing Conference with many members of a packed audience standing, cheering, and waving signs as Jack Dongarra took the stage to deliver the annual ACM Turing Award lecture at SC22.
Jack Dongarra: A Not So Simple Matter of Software
By John Russell
November 16, 2022
For a few moments, the atmosphere was more Rock Concert than Supercomputing Conference with many members of a packed audience standing, cheering, and waving signs as Jack Dongarra took the stage to deliver the annual ACM Turing Award lecture at SC22. Few people are as deeply associated with evolution of HPC software or with the Top500 list that spotlights the fastest supercomputers in the world than Dongarra, who with Hans Meuer, and Erich Stromaier, created the Top500 in 1993. (The latest Top500 was unveiled on Monday at SC22.)
“I wasn’t expecting this. Wow,” said Dongarra, visibly moved. “I have to say it’s a tremendous honor to be the most recent recipient of the ACM A.M. Turing Award. An award like this couldn’t have come about without the help and support of many people over time.”
Considered the Nobel Prize of computer science, the ACM A.M. Turing Award, named for Alan Turing, also carries $1 million prize. Here’s brief excerpt of the ACM tribute to Dongarra:
Q&A turned up a couple of interesting discussion points. One question, not surprisingly, was around future architectures.
“Today, we have machines that are built on manycore plus GPUs. I would think that in the future, we would see that expand, [and] have other accelerators added to that collection. So think about adding an accelerator that does something specific for AI. Or think about adding an accelerator which does something like neuromorphic computing. We can add accelerators to the collection to help in solving our problems. Maybe quantum would be another accelerator – I don’t see quantum being its own compute,” said Dongarra.
The benefit, said Dongarra, is “that specific applications could draw on those components to get high performance or a user could dial up perhaps what mixture of accelerators they choose to have on their specific system, according to the applications. It’s about making sure that we have the hardware matching the applications that are intended to run on this machine and having the right mixture.”
Very cool!
Rise from the ashes
Regular
D
Deleted member 118
Guest
Don’t know what they think I might do for work, but I still don’t even understand the technology yet.
Fact Finder
Top 20
One cannot but help thinking that Brainchip has finally been granted membership of the Silicon Valley Club.
My opinion only DYOR
FF
AKIDA BALLISTA
wilzy123
Founding Member
I like the way that Rohit Prasad, Senior Vice President and Head Scientist for Alexa at Amazon, thinks when he responds to the following questions in particular as part of this interview (03/11/2022) - https://www.aboutamazon.com/news/devices/amazons-new-head-of-alexa-rohit-prasad
It's clear to me that the vision for edge devices like these is that they become a much more embedded component in our daily flow, what Amazon call "Ambient Intelligence".
Alexa is getting smarter every day, but we are nowhere near the final frontier. Today, you can use Alexa to do things—ranging from entertainment and asking for information—to controlling and automating your smart home, shopping, and so much more. But, Alexa is already much more than your voice assistant. It is also an expert adviser and even a companion to some. When it informs you that you left your thermostat at 72 degrees while nobody was home, it is proactively advising you to save energy. Certain customers, especially kids and aging customers, have a companion-like relationship with Alexa and Kids+ on Alexa and engage in much longer conversations beyond single-turn requests.
The way to be great at meeting the ever-growing expectations from Alexa is through what we call generalized intelligence, which is when AI is able to learn multiple tasks and continually adapts with limited human supervision. Alexa is not only one of the most fertile proving grounds for advancing generalized intelligence, but also evolving human-like interaction abilities that go beyond speech interactions.
Communication between people, and we hope soon with Alexa, is so much more than just voice—it’s facial expressions, hand gestures, body language. That’s why in addition to advancing Alexa’s voice AI, we are also investing in multimodal AI, enhancing Alexa’s ability to process different sensory signals like visuals, touch, and ultrasound, as well as speech. More natural interaction will make Alexa an even better assistant, adviser, and companion. This is the hallmark for a conversational AI application like Alexa.
It's clear to me that the vision for edge devices like these is that they become a much more embedded component in our daily flow, what Amazon call "Ambient Intelligence".
Can you tell us about your future plans for Alexa and give us a peek at what your team is working on?
Alexa is getting smarter every day, but we are nowhere near the final frontier. Today, you can use Alexa to do things—ranging from entertainment and asking for information—to controlling and automating your smart home, shopping, and so much more. But, Alexa is already much more than your voice assistant. It is also an expert adviser and even a companion to some. When it informs you that you left your thermostat at 72 degrees while nobody was home, it is proactively advising you to save energy. Certain customers, especially kids and aging customers, have a companion-like relationship with Alexa and Kids+ on Alexa and engage in much longer conversations beyond single-turn requests.
The way to be great at meeting the ever-growing expectations from Alexa is through what we call generalized intelligence, which is when AI is able to learn multiple tasks and continually adapts with limited human supervision. Alexa is not only one of the most fertile proving grounds for advancing generalized intelligence, but also evolving human-like interaction abilities that go beyond speech interactions.
What do you mean by this?
Communication between people, and we hope soon with Alexa, is so much more than just voice—it’s facial expressions, hand gestures, body language. That’s why in addition to advancing Alexa’s voice AI, we are also investing in multimodal AI, enhancing Alexa’s ability to process different sensory signals like visuals, touch, and ultrasound, as well as speech. More natural interaction will make Alexa an even better assistant, adviser, and companion. This is the hallmark for a conversational AI application like Alexa.
Mt09
Regular
Ex Samsung!
Attachments
Rise from the ashes
Regular
Rise from the ashes
Regular
Lots of secret handshakes and wink wink nudge nudge say no more going
Fact Finder
Top 20
It should not be but it is soooo important to be a member of the club wherever it is you want to succeed.Lots of secret handshakes and wink wink nudge nudge say no more going
My opinion only DYOR
FF
AKIDA BALLISTA
alwaysgreen
Top 20
It's not what you know...
I attest to this in my business. Anyone can do the job my company provides, but getting the work is the secret to success.
Rise from the ashes
Regular
That's right and I don't think that will ever change.
Just dropping this here totally unrelated.
Stability AI
AI by the people for the people. We are building the foundation to activate humanity's potential.
thispersondoesnotexist.com
alwaysgreen
Top 20
This little joke got moderated "over there" but I'm sure it will be okay here.
Shareman, MDiddy, dawgfather and The Dean walk into a bar.
Everyone leaves.
Shareman, MDiddy, dawgfather and The Dean walk into a bar.
Everyone leaves.
wilzy123
Founding Member
I'm not sure how that is relevant to anything in life.
Earlyrelease
Regular
Looks like TSMC will be busy. Tesla having them build their 4nm chips
Apple Supplier TSMC Bags Tesla As New Client For EVF Chips
Taiwan Semiconductor Manufacturing Company Ltd (NYSE: TSM) would be Tesla, Inc (NASDAQ: TSLA) supplier of choice for its next-generation Full Self-Driving (FSD) computer, Teslarati reported. The famous Apple Inc (NASDAQ: AAPL) supplier will supply Tesla chips under 4-nm and 5-nm processes. Tesla...
finance.yahoo.com
Getupthere
Regular
Why RISC-V Architecture Is the Future of Embedded Design
The open standard RISC-V can support a faster time to market for silicon designs and may reduce the need for an extensive team.
Learning
Learning to the Top 🕵♂️
An EV G-Class, Wow, one can only dreams, and a bigger dream is Akida embedded in the EV G-Class.
www.linkedin.com
Learning.
#new #electric #leadinelectric #futureofmobility #gclass | Markus Schäfer | 97 comments
One of the highlights of my job is the chance to experience our #new vehicles and features first-hand. This one at our Mercedes-Benz G GmbH in Graz/Austria was particularly impressive! And it proves that electric drive is just as exciting and versatile off-road as it is on the road. We call it...
Learning.
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