Gies
Regular
BrainChip on LinkedIn: Events
The BrainChip team participated in the Korean Neuromorphic Seminar on May 27, 2024. Todd Vierra introduced BrainChip and our Akida 2.0 Architecture. Dr. Tony…
SAMSUNG?
BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
SAMSUNG?
Mt09
Regular
Could be anyone in Korea? Naming specific companies in LinkedIn comments probably not the best idea?
BrainChip on LinkedIn: Events
The BrainChip team participated in the Korean Neuromorphic Seminar on May 27, 2024. Todd Vierra introduced BrainChip and our Akida 2.0 Architecture. Dr. Tony…www.linkedin.com
SAMSUNG?
Just workshop organised by Ministry of science and ICT Korea.
I guess all professors eg KIST and KAIST
But only BRN was invited for showcase. why? because we are awesone
wilzy123
Founding Member
Objective:
- Promote technology exchange through presentations and discussions on the direction of neuromorphic semiconductor technology development.
- Share current trends and future prospects of development in the field of neuromorphic semiconductors.
| Time | Presentation Topic | Presenter |
|---|---|---|
| 10:00~10:20 | Participant Registration | - |
| 10:20~10:20 | Opening Ceremony | - |
| Welcoming Remarks | Kim Hyung-jun (Chairman), Yoon Woo-hee (Manager), Oh Woo-jae (PM), Yoo Hwi-joon (Chair) | |
| Session 1: Neuromorphic Semiconductor Design Field | ||
| 10:20~10:50 | Development Trends of Digital Neuromorphic Processors | Prof. Jung Doo-seok (Hanyang University) |
| 10:50~11:20 | Algorithms for Ultra-low Power AI for Neuromorphic | Park Seong-seok (Senior Researcher, KIST) |
| 11:20~11:50 | Software and Compiler for Neuromorphic Architectures | Prof. Lee Jong-eun (UNIST) |
| 11:50~13:20 | Lunch Break | - |
| Session 2: Neuromorphic Semiconductor Materials Field | ||
| 13:20~13:50 | Melister Research Trends and New Materials | Prof. Park Tae-joo (Hanyang University) |
| 13:50~14:20 | Ferroelectric Devices for Next-generation Neuromorphic Applications | Prof. Kwon Dae-woong (Hanyang University) |
| Session 3: Invited Lecture | ||
| 14:20~14:50 | TENN: A Highly Efficient Transformer Replacement Compatible with Event-based Computing | Tony Lewis (Brainchip) |
| 14:50~15:20 | Future Prospects of Neuromorphic Semiconductors | Prof. Yoo Hyun-kyu (KAIST) |
| 15:20~15:40 | Coffee Break | - |
| Session 4: Comprehensive Discussion (Moderator: Prof. Jung Doo-seok) | ||
| 15:40~16:10 | Comprehensive Discussion | Various Experts |
| 16:10~16:20 | Closing Ceremony | - |
| Closing Remarks | Kim Hyung-jun (Chairman) |
Participants:
- Researchers and workers in related industries, government departments, and public institutions.
- Ministry of Science and ICT
- Next-generation Intelligent Semiconductor Project
- Information and Communication Planning and Evaluation Institute
- Semiconductor Engineering Association
- AI Semiconductor Forum
Labsy
Regular
Just think about it... The ministry of science and ICT of South Korea, invited brainchip to discuss our innovative "Tenns" technology....
How can you not get excited about that .. Far out...
I am holding on for dear life.. must admit I'm getting sweaty palms but hanging on damn it!
Let's go chippers! $5 party next announcement!
toasty
Regular
It was a technology talkfest.........I'll get excited when we appear at a major commercial event arm in ARM...........Just think about it... The ministry of science and ICT of South Korea, invited brainchip to discuss our innovative "Tenns" technology....
How can you not get excited about that .. Far out...
I am holding on for dear life.. must admit I'm getting sweaty palms but hanging on damn it!
Let's go chippers! $5 party next announcement!
wilzy123
Founding Member
It was a technology talkfest.........I'll get excited when we appear at a major commercial event arm in ARM...........
HopalongPetrovski
I'm Spartacus!
It was uiux, but he has gone quiet here in recent times.
Labsy
Regular
Talkfest?It was a technology talkfest.........I'll get excited when we appear at a major commercial event arm in ARM...........
Yeah... With the following participants ... "Researchers and workers in related industries, government departments, and public institutions"...Don't worry about ARM mate .... This is growing organically...
He Wilzy, is that you talking at 15:40?
JDelekto
Regular
As mentioned, this was uiux. The GitHub repositories for uiux's projects can be found here.
Bravo
If ARM was an arm, BRN would be its biceps💪!
Exclusive: Arm aims to capture 50% of PC market in five years, CEO says
June 3, 202410:19 PM GMT+10Updated 2 days ago
ARM CEO Rene Haas makes a speech at COMPUTEX forum in Taipei, Taiwan June 3, 2024. REUTERS/Ann Wang
TAIPEI, June 3 - Arm Holdings aims to gain more than 50% of the Windows PC market in five years, the chip designer's CEO said, as Microsoft (MSFT.O), opens new tab and its hardware partners prepare to launch a new batch of computers based on the British firm's technology.
Arm's U.S.-listed shares climbed 2.6% in pre-market trade on Monday.
Demand for use of Arm's technology in personal computers got a boost after Microsoft unveiled ambitious plans last month to launch a new breed of PCs with artificial intelligence features to compete with Alphabet (GOOGL.O), opens new tab and Apple (AAPL.O), opens new tab.
Its flagship Windows operating system will now run on chips designed by Arm, whose technology powered the rise of smartphones. Chips made by Intel (INTC.O), opens new tab have dominated the PC industry for decades and if the Arm push succeeds, it would reorder the market.
"Arm's market share in Windows - I think, truly, in the next five years, it could be better than 50%," CEO Rene Haas told Reuters in an interview.
Microsoft has made a significant commitment to ensure its alternative technology to Advanced Micro Devices (AMD.O), opens new tab and Intel's x86 technology is embraced by consumers, building a suite of software developer tools to make it possible to produce programs that function on Arm-based chips.
"They've (Microsoft) gone way beyond anything they had (in developer tools) and they really picked it up in the last couple of years," Haas said. "They are very, very much committed from a software standpoint."
The video player is currently playing an ad.
Microsoft and hardware vendors are following in Apple's footsteps. The company has seen success from its introduction of Arm designs. It has sold machines with its "M Series" processors for roughly four years and those chips offer long battery life and speedy performance.
Qualcomm (QCOM.O), opens new tab has designed the first Arm-based chip to introduce consumers and businesses to the new Windows-based Arm machines, but other vendors will follow, Haas said.
I wonder if Ed Husic will be there? Maybe he can jag us a contract.Just think about it... The ministry of science and ICT of South Korea, invited brainchip to discuss our innovative "Tenns" technology....
How can you not get excited about that .. Far out...
I am holding on for dear life.. must admit I'm getting sweaty palms but hanging on damn it!
Let's go chippers! $5 party next announcement!
Bravo
If ARM was an arm, BRN would be its biceps💪!
It's interesting that Rain AI is no longer referring to neuromorphic technology.
Rain AI Unveils Andes Technology as Its RISC-V Partner
Andes Technology Corporation
Tue, 4 June 2024 at 11:00 am AEST·4-min read
Andes Technology Corporation
San Francisco, CA , June 03, 2024 (GLOBE NEWSWIRE) -- Rain AI Licenses Andes AX45MPV and Taps Andes Custom Computing BU to Accelerate Its Launch of Groundbreaking Compute-In-Memory (CIM) Generative AI Solutions
San Francisco, CA, June 03, 2024 - Andes Technology, a leading supplier of high-efficiency, low-power 32/64-bit RISC-V processor cores and Founding Premier member of RISC-V International announces that Rain AI, a pioneer in compute-in-memory (CIM) technology, licensed Andes’ AX45MPV RISC-V vector processor. Rain AI designs novel accelerator solutions, and the two companies are collaborating to accelerate Rain AI’s product roadmap.
As the world economy embraces generative AI to deliver unprecedented benefits to consumers and business alike, energy consumption stands as a significant hurdle regardless of the deployment points, be it the cloud, edge, and especially the smallest sensors. CIM represents the most promising solution to lower the energy footprint by as much as 50X. By performing computations directly in the memory bit-cells, CIM can dramatically reduce the energy required for matrix operations commonly found in machine learning.
However, CIM by itself cannot completely address the vast and growing number of machine learning operators. A RISC-V CPU is ideal for efficient programming and future-proofing of an CIM-based NPU. The RISC-V architecture allows users to add custom instructions to encapsulate the CIM computing blocks, easing software development efforts. Andes automates this instruction customization process with its automated COPILOT compiler.
Mr. Frankwell Lin, Chairman and CEO of Andes, says, "Andes is honored and excited to have Rain AI as its licensee and partner. As the first RISC-V vector processor provider, we see CIM as an inevitable necessity to enable generative AI applications and therefore have focused on CIM customers. To our knowledge, Rain AI has designed one of the most energy efficient matrix multiplication units using digital CIM technology, so we look forward to Rain AI unveiling its breakthrough solutions."
Mr. William Passo, CEO of Rain AI, echoed this sentiment, stating, "It is rare to see a vendor who shares the same market and technology vision as us, has best-in-class RISC-V solutions for our technology needs, and can commit resources to help us accelerate our roadmap to significantly reduce the energy required for AI. Running the most advanced models in any form factor is the future of AI, and we are now one step closer with Andes."
Indeed, Rain AI further taps into Andes’ Custom Computing Business Unit (CCBU) to help accelerate the integration of Andes AX45MPV and the ACE/COPILOT instruction customization with on-site and remote consulting services. Andes’ CCBU is a small team of experts tasked to perform complex customizations and integrations for a few promising cutting-edge licensees.
Both companies can share that AX45MPV and Andes’ unique RISC-V instruction customization solution, ACE/COPILOT both play pivotal roles to complement Rain AI’s groundbreaking CIM hardware, compiler, and runtime software to deliver scalable ML solutions for a variety of deployment points. Rain AI will unveil its accelerator solution in early 2025.
About Andes Technology
Nineteen years in business and a Founding Premier member of RISC-V International, Andes is a publicly-listed company (TWSE: 6533; SIN: US03420C2089; ISIN: US03420C1099) and a leading supplier of high-performance/low-power 32/64-bit embedded processor IP solutions, and the driving force in taking RISC-V mainstream. Its V5 RISC-V CPU families range from tiny 32-bit cores to advanced 64-bit Out-of-Order processors with DSP, FPU, Vector, Linux, superscalar, functional safety and/or multi/many-core capabilities. By the end of 2023, the cumulative volume of Andes-Embedded™ SoCs has surpassed 14 billion. For more information, please visit https://www.andestech.com. Follow Andes on LinkedIn, Twitter, Bilibili and YouTube! !
About Rain AI
Rain AI’s mission is to enable advanced and abundant AI everywhere by building the world’s most efficient AI hardware. It creates flexible solutions for generative AI inference and training utilizing novel compute-in-memory CIM technology, RISC-V processing cores, advanced packaging techniques, and optimized ML algorithms. By co-designing hardware with leading AI models, Rain AI sets new standards in AI efficiency and performance. Rain AI investors include Sam Altman, Dan Gross, and Y Combinator. For further information, visit http://www.rain.ai.
CONTACT: Jonah McLeod +1 (510) 449-8634 Jonahm@andestch.com
Rain AI Unveils Andes Technology as Its RISC-V Partner
San Francisco, CA , June 03, 2024 (GLOBE NEWSWIRE) -- Rain AI Licenses Andes AX45MPV and Taps Andes Custom Computing BU to Accelerate Its Launch of Groundbreaking Compute-In-Memory (CIM) Generative AI Solutions San Francisco, CA, June 03, 2024 - Andes Technology, a leading supplier of...
Bravo
If ARM was an arm, BRN would be its biceps💪!
Former Meta architecture leader joins Rain AI.
ACCESSWIRE
Jun 04, 2024, 10:30 AM ET
Former Meta architecture leader Amin Firoozshahian has joined the Rain AI team as their Lead Architect
SAN FRANCISCO, CA / ACCESSWIRE / June 4, 2024 / Rain AI, an AI hardware startup and compute-in-memory pioneer whose mission is to enable advanced AI everywhere, today announced that former Meta architecture leader Amin Firoozshahian has joined the team as Lead Architect. In his new role, Firoozshahian will lead the design and development of new technologies that will significantly reduce the energy required to run AI inference and model training, allowing a growing list of customers and partners to deploy and productize AI.
"We could not be more excited to have an architect of Amin's caliber leading the next iteration of our architecture," said Rain AI CEO William Passo. "Our novel compute-in-memory technology will help unlock the true potential of today's generative AI models, and get us one step closer to running the most advanced models anywhere."
Firoozshahian joins the company from Meta, where he was a leading architect on the AI Systems Hardware/Software Co-Design and Infra Silicon teams working on the company's MTIA family of accelerators. In 2023, he was the lead author of Meta's 2023 paper on MTIAv1. Prior to joining Meta in 2019, he worked in Intel's Product Architecture Group, integrating novel technologies into the Xeon family of products and worked on AI accelerator performance evaluation as part of the company's Artificial Intelligence Product Group (AIPG). He joined Intel in 2014 when that company acquired Hicamp Systems Inc., a startup that developed novel memory system architectures. He received his Ph.D. in Electrical Engineering from Stanford University in 2009.
About Rain AI
Rain AI's mission is to enable advanced AI everywhere. Rain AI creates accelerator solutions for AI inference and training using novel compute-in-memory (CIM) technology, RISC-V processing cores, and specialized machine learning model optimization tools. By designing chips to run the world's most powerful AI models, Rain AI can dramatically reduce the energy consumption of AI compute. Rain AI is backed by investors including Sam Altman, Dan Gross, Grep VC, and Y Combinator. Follow further information, visit rain.ai or follow Rain AI on LinkedIn.
Contact information:
Andrei Santalo
Head of Operations
andrei@rain.ai
SOURCE: Rain AI
Leading Architect Joins Rain AI to Accelerate Vision to Enable Advanced AI Everywhere
NEWS PROVIDED BYACCESSWIRE
Jun 04, 2024, 10:30 AM ET
Former Meta architecture leader Amin Firoozshahian has joined the Rain AI team as their Lead Architect
SAN FRANCISCO, CA / ACCESSWIRE / June 4, 2024 / Rain AI, an AI hardware startup and compute-in-memory pioneer whose mission is to enable advanced AI everywhere, today announced that former Meta architecture leader Amin Firoozshahian has joined the team as Lead Architect. In his new role, Firoozshahian will lead the design and development of new technologies that will significantly reduce the energy required to run AI inference and model training, allowing a growing list of customers and partners to deploy and productize AI.
"We could not be more excited to have an architect of Amin's caliber leading the next iteration of our architecture," said Rain AI CEO William Passo. "Our novel compute-in-memory technology will help unlock the true potential of today's generative AI models, and get us one step closer to running the most advanced models anywhere."
Firoozshahian joins the company from Meta, where he was a leading architect on the AI Systems Hardware/Software Co-Design and Infra Silicon teams working on the company's MTIA family of accelerators. In 2023, he was the lead author of Meta's 2023 paper on MTIAv1. Prior to joining Meta in 2019, he worked in Intel's Product Architecture Group, integrating novel technologies into the Xeon family of products and worked on AI accelerator performance evaluation as part of the company's Artificial Intelligence Product Group (AIPG). He joined Intel in 2014 when that company acquired Hicamp Systems Inc., a startup that developed novel memory system architectures. He received his Ph.D. in Electrical Engineering from Stanford University in 2009.
About Rain AI
Rain AI's mission is to enable advanced AI everywhere. Rain AI creates accelerator solutions for AI inference and training using novel compute-in-memory (CIM) technology, RISC-V processing cores, and specialized machine learning model optimization tools. By designing chips to run the world's most powerful AI models, Rain AI can dramatically reduce the energy consumption of AI compute. Rain AI is backed by investors including Sam Altman, Dan Gross, Grep VC, and Y Combinator. Follow further information, visit rain.ai or follow Rain AI on LinkedIn.
Contact information:
Andrei Santalo
Head of Operations
andrei@rain.ai
SOURCE: Rain AI
Afternoon Gazzafish,
I broke out laughing.... flat out operating my phone , at the best of times.
The expertise / demo would more than likely have been Uiux.
Think he is occasionally looking in on us .
Sorry for the delayed response.... doing a bit of engineering pressently.
9 inch angle grinders & all sorts flying around.
Regards,
Esq.
SERA2g
Founding Member
stdp - Overview
Artificial Intelligence is a hobby. stdp has 8 repositories available. Follow their code on GitHub.
github.com
This is what you're looking for
wilzy123
Founding Member
No, my presentation is at 11:50
supersonic001
Regular
Magnus Östberg on LinkedIn: #mercedesbenz #mbuxvirtualassistant #ai | 16 comments
#MercedesBenz is reinventing the in-car digital experience by leveraging the power of artificial intelligence. Navigation is one example. Today, more than… | 16 comments on LinkedIn
Similar threads
