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Rach2512

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Joshua Yang Secures Center of Excellence for Work on Neuromorphic Computing​

Landon Hall | January 18, 2024

USC will lead Air Force-funded Center that includes four other universities.​

Joshua Yang, professor of electrical and computer engineering at the USC Ming Hsieh Department of Electrical and Computer Engineering, has secured funding from the U.S. Air Force to create a Center of Excellence based on his work on neuromorphic computing.
An illustration of a semiconductor created with assistance of AI.

(CREDIT: MINGYI RAO AND GLENN GE. MEMRISTOR AI CHIP UNDER EXTREME SPACE ENVIRONMENT. JOSHUA YANG. THIS IMAGE WAS GENERATED WITH THE ASSISTANCE OF AI.)
Yang and USC will lead the center, which also includes researchers from UCLA, Duke University, the University of Texas-San Antonio, and the Rochester Institute of Technology. The entity is called the Center of Neuromorphic Computing and Extreme Environment, or CONCRETE.
A review panel from the Air Force’s Office of Scientific Research and the Air Force Research Laboratory (AFRL) unanimously recommended five years’ worth of funding, based on a proposal titled “Extreme Neuromorphic Materials and Computing.”
Neuromorphic computing is a type of computer engineering modeled after the function of the human brain and nervous system. “A major part of the effort is to build machine-learning or AI accelerators,” Yang said. “They are inspired by the human brain, learn from the brain, and they approach the efficiency of the brain.”
“The brain is the most energy-efficient computer known so far — way better than any supercomputer,” Yang added. “Orders of magnitude better, because we actually consume much less energy. Moreover, the brain can learn much faster and is much more error-tolerant, and much more adaptive to the environment. We tend to learn more and emulate more, so that we can build a much better computing system that’s more sustainable and faster and more robust.”
Sustainability is at the heart of the “Extreme Environment” portion of the CONCRETE acronym. Defense labs, including those at the Air Force, need computer systems that can function under less-than-ideal conditions.
Another pivotal objective of the center is to fortify collaborations between universities and the AFRL, with a focus on educating the workforce in anticipation of future computing requirements for the Department of Defense (DoD).
Securing this esteemed award to establish a center on neuromorphic computing aligns seamlessly with USC’s recent launch of the Frontiers of Computing.


Yang and USC will lead the center, which also includes researchers from UCLA, Duke University, the University of Texas-San Antonio, and the Rochester Institute of Technology. The entity is called the Center of Neuromorphic Computing and Extreme Environment, or CONCRETE.

 
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Bravo

If ARM was an arm, BRN would be its biceps💪!
Be still my beating heart!!!

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Intel CEO on the three laws of edge computing, and what it means for AI​


BySean Kinney, Editor in Chief
January 15, 2024
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During a CES keynote, Intel CEO Pat Gelsinger predicted “at least” a 10-year AI super cycle as automation is brought into different industries

AI everywhere—that’s the new tagline from Intel as it optimizes its silicon for artificial intelligence (AI) workloads, and partners with its growing stable of device makers and software developers to imbue new and existing hardware and applications with AI. During the Consumer Electronics Show (CES)_ last week, CEO Pat Gelsinger touted the consumer and enterprise benefits of the AI PC, and called out more than 100 engagements with AI ISV partners.

At CES Intel announced the Core 14th Gen mobile processor family led by the flagship Intel Core i9-14900HX, and a lineup of Core 14th Gen desktop processors at 65-watt and 35-watt levels to support a wide range of edge devices. These launches were preceded by the December announcement of a set of major AI-focused upgrades on the client and server sides; for data center compute, the 5th Gen Intel Xeon family now has AI accelerate in every core, and the Gaudi 3 AI accelerator is on schedule for a 2024 release.

In conjunction with the December announcements, Gelsinger said, “Intel is on a mission to bring AI everywhere through exceptionally engineered platforms, secure solutions and support for open ecosystems.”


In Las Vegas for a keynote interview at CES, Gelsinger talked through the competitive dynamics at place in the AI PC space as Arm-based competitors push competing products into the markets. The competition, he said, “would help establish the category,” which Intel will then win based on volumes and ecosystems. “I believe this is a defining moment for the PC,” Gelsinger said. “And as [former Intel CEO] Andy Grove said, the PC [is] the ultimate Darwinian device. I think we’re in one of those Cambrium moments for the Darwinian PC.”

Looking ahead, Gelsinger predicted that the coming wave of AI investment and adoption would be at least as durable and significant as the immediate post-internet launch of new ways to drive customer engagement. “I think we’re going to be in a 10-plus-year cycle of figuring it out in different industries.”

Intel led its CES messaging with AI PCs. Asked about how on-device AI adoption would unfold, Gelsinger said adoption of AI-enabled edge devices—phones, PCs, on-premise compute, etc…—would adhere to what he called the three laws of edge computing.

  • “First is the laws of economics. It’s cheaper to do it on your device…I’m not renting cloud servers.”
  • “Second is the laws of physics. If I have to round-trip the data to the cloud and back, it’s not going to be as responsive as I can do locally.”
  • “And third is the laws of the land. Am I going to make my data to the cloud or am I going to keep it on my local device?”
He summarized: “I think those three laws…will drive more of these AI use cases to the devices that we use across the edge, and that’s part of what we mean when we say, ‘AI everywhere.’…I think it’s going to be a thrilling time of new use cases emerging…We’re going to be enjoying this for many CESes to come…We’re just getting started.”

 
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Thanks FF,

Yes I should have said one that isn't going to cost them $10,000.
Hi C
Thanks to your post I stumbled across this link:


If you add the comment by Mike Davies last year that a commercial Loihi may still be another five years it really does put into proper perspective what Brainchip had on display at CES 2024.

Except that industry figures have verified what Brainchip is doing commercially with AKIDA in live demonstrations it boarders on unbelievable.

But I suppose that’s what Science Fiction is something so advanced it is unbelievable based on conventional wisdom.

My opinion only DYOR
Fact Finder
 
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Tothemoon24

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Some interesting upcoming tech talks with ARM for those that maybe interested in registering

 
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AusEire

Founding Member.
To clarify, investors who made their fortune or wealth from investing/trading markets, not a successful person who has made wealth elsewhere and invests in the markets..

Such as:
Gil Morales, Mark Minervini, David Ryan, Late William O’Neill, Quint Tatro, John Coates.

In Australia you might like to try Nick Fabrio, Jon Kirk, Tim Walker.. All have presence in either socials or subscription services..

Personal contacts are personal contacts and I wouldn’t give those out publicly..
It took Nick Fabrio 4 years to make 1million while trading.

I mean absolutely no disrespect towards him but I made the same working as a carpenter(that being said my back is absolutely fucked and I doubt his is)

I absolutely cannot stand the next person I'm going to mention (because she's a dishonest shifty operator) and she's currently doing her thing over on HC. But good for her she made a decent buck(far more than Fabrio in half the time) while shitting on all of us. Dolchi(loooochi) is a far superior trader than Fabrio and she donates her time for free on HC. No subscription required.

Btw these people you mentioned are DAY TRADERS. They are not investors. They make up a TEENY TINY MINORITY of people who make money day trading. MOST people that trade lose money. That is a statistical fact. It's incredibly risky.

So again I'll ask you. Who are these REAL INVESTORS you speak of?
 
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AusEire

Founding Member.
My post was a bit of a tongue in cheek dig at the idea I had attended a secret meeting.

When you think about it the risk associated with different groups of unrelated shareholders and management of a company meeting across three capital cities is far less than if an individual shareholder engages in one on one private communications with someone in a company.

Establishing a relationship, perhaps becoming friends through shared experiences then playing on the trust that comes with that friendship to extract intelligence from the employee concerned. Such communications would never come to light unless the shareholder concerned revealed them.

Individual posters particularly on HC constantly claim to have communicated with the company and to have received a totally unsatisfactory reply but how can these anonymous claims ever be verified.

The company would likely never communicate with someone calling themselves Dingo Borat or Fact Finder in a communication so quite hard to link up the claim on HC with an actual communication.

Imagine writing to the company trying to verify this post and asking did you give a totally unsatisfactory reply to a shareholder in the last 14 days. I'm sorry but I can't tell you their name or address only that they call themselves A Dead Loss on HC.😂🤣😂

Downramping is such an easy game to play.

My opinion only DYOR
Fact Finder
Over Xmas @Luppo71 and I held a secret Brainchip meeting and we were the only ones to show up. I was quite disappointed as I was expecting Sean and TD to turn up.
 
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goodvibes

Regular
Does somebody knows why Renesas disappeared from partner overview by brainchip? Wasn’t it on integration partners?

 
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AusEire

Founding Member.
Does somebody knows why Renesas disappeared from partner overview by brainchip? Wasn’t it on integration partners?

Correct me if I'm wrong but I'm certain that Renesas were only an IP licensee and were never technology partners.
 
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Correct me if I'm wrong but I'm certain that Renesas were only an IP licensee and were never technology partners.
Are Technical partners as good as a IP licence
 
Over Xmas @Luppo71 and I held a secret Brainchip meeting and we were the only ones to show up. I was quite disappointed as I was expecting Sean and TD to turn up.
1705824257208.gif
 
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Over Xmas @Luppo71 and I held a secret Brainchip meeting and we were the only ones to show up. I was quite disappointed as I was expecting Sean and TD to turn up.
Yep that’s the problem with secret meetings. If you tell people it’s no longer secret but if you don’t tell them they don’t turn up. Personally I quite enjoy my own company so being alone at all my secret meanings has never been an issue. 🤡🤡🤡
 
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Diogenese

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Over Xmas @Luppo71 and I held a secret Brainchip meeting and we were the only ones to show up. I was quite disappointed as I was expecting Sean and TD to turn up.
Luppo and AusEire - sounds like The Wolf of O'Connell Street, hey?
 
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Hi All

Did we discuss the fact that Brainchip’s partner for intelligent deployment of airbags OnSemi had this mutual partner:

The EQXX's lithium-ionbattery pack and drivetrain were largely developed in partnership with Mercedes AMG High Performance Powertrains. Several changes were made to optimise the efficiency of the powertrain, starting off with redesigning the inverter, now incorporating Onsemi's silicon carbide anodes,[20] along with the engine control unit being almost identical to the one utilised in the Mercedes-AMG ONE.[21][22] In order to increase energy density, Mercedes also introduced a new method of packing the individual cells in the battery packcalled cell-to-pack.”

From Wiki.

Does Mercedes Benz still use airbags?🤡🤣🤡

My opinion only DYOR
Fact Finder
 
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AusEire

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Tothemoon24

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I wonder if eInfochips, an Arrow company is lurking in the Brainchip land​

The below sounds very bchippy

Digital Transformation in Agriculture​


Digital Transformation in Agriculture



Understanding and addressing the challenges

Reasons for low technology adoption are rooted across the layers of the agricultural technology stack.
  1. Wireless (mainly cellular) data connectivity is limited at the far edge spread across the vast area – farmlands are remote, mostly in rural areas. High bandwidth wireless endpoint connections are rare, due to a lack of infrastructure and investments. Deploying sophisticated edge gateways is cost-prohibitive as well, considering the range per gateway and area that needs to be covered.
  2. Minimal power budget may constrain sensor operating range, frequency, compute power, and life. Executing an edge workload – whether for sensing, rule-based control or compute, needs energy. Edge devices have typically used battery power. However, one needs to balance a large number of tiny sensors to be deployed in a vast area in scope with the battery specification to be used (considering the cost-effectiveness). While battery-less IoT devices have been recently developed with energy harvesting technologies like li-fi, it is yet to gain widespread adoption on scale and cost considerations.
  3. Challenging weather conditions like rain, wind, fog, heat, and snow impact the reliability and accuracy of the data stream in capture as well as transfer motions. Sensors capturing the outdoor environment parameters need to have a broad operating range w.r.t the ambient temperature, precipitation, humidity, visibility, and wind. This can potentially impact sensing as well as transmission accuracy.
As digital technology matures and becomes more accessible to corporations, co-operatives, and farmers, there is a push toward smart greenhouses, precision farming, and connected warehouses in the agricultural sector. As population and urbanization grow, we see a significant increase in food demand (70% growth by 2050) and reducing the acreage of agricultural land. The rising yield and prices of agricultural produce generate returns on technology initiatives for the majority of the farming entities.

Technology solutions to industry challenges

Technologies that are typically at the core of smart agriculture solutions include:
  • IoT for edge connectivity and sensor telemetry data transfer over multiple short-range (open as well as proprietary) protocols.
  • AI/ML for vision-based analysis of camera feeds from drones.
  • Mobility for end-user, technician apps for data reporting, workflow automation.
  • Cloud for sensor data management and analytics application platforms.
These technologies are leveraged in use cases like:
  1. Soil monitoring – Monitoring soil temperature and humidity periodically to keep them within the recommended threshold is essential for precision farming practices. You can achieve it using buried sensor probes that communicate the telemetry data to routers or gateways deployed on the farm. Managing watering and planting activities based on the present conditions and past trends helps ensure sufficient water for plant growth, effective delivery of water-soluble nutrients in manures and fertilizers, thus maximizing the yield. Soil temperature greatly impacts the mineralization of essential elements like nitrogen that is essential for root growth and respiration.
  2. Environment monitoring – Regular sensor-based monitoring of non-contact surface temperature around sprouted seeds is critical to ensure the right conditions for sapling growth. Even for the fully grown trees bearing flowers and fruits, ensuring certain temperatures around the trunk for healthy growth of the buds into flowers and subsequently to fruits becomes critical for maximizing the yield. Many crops and plants require ample sunlight for growth. You can deploy light sensors for assessing plots within the farm where such seeds are planted.
  3. Pest and weed detection – Vision technologies on autonomous vehicles like drones are used to detect the percentage of the weed coverage on the farm, identify beyond threshold plots, and accordingly manage farming manpower to remove the weeds. It is important to ensure that the input factors like water, essential nutrients in manures, fertilizers, and sunlight, are utilized for the crops. You can detect pests in the form of fungus and insects that reduce the crop yield, through deep computer vision technology practices like semantic segmentation, image classification, and object monitoring.
  4. Livestock monitoring – Sensor-based location tracking and geofencing along with the body vitals (e.g. temperature) monitoring ensure the accurate count and health of the livestock under management. Measuring and monitoring ambient conditions in the living areas help enable hygiene, safety, and overall wellbeing. Subsequently, dairy produce (milk, eggs), and meat from healthy animals ensure high agricultural throughput.
  5. Stored produce monitoring – Harvested produce often needs to be stored near the farm due to the weather, logistics, and market factors. The shelf life of the stored produce is determined by factors like external and internal temperatures of the storage bins and containers, humidity levels and airflow rates, and storage and light intensity. Monitoring these parameters and maintaining them at the levels specific to the stored harvested crop can be achieved using IoT, mobility, analytics, and cloud technologies.
The above use cases showcase that these digital technologies have the potential to transform the agricultural value chain across the crop lifecycle. If used at scale responsibly, these technologies can contribute to achieving multiple Sustainable Development Goals (SDGs) across the globe.
eInfochips, an Arrow company, is a leading product engineering services company with expertise across silicon to device to cloud, on multiple hardware and software technology platforms. We have experience in building connected solutions across industry verticals including agriculture, water management, and industrial manufacturing covering highly distributed field devices, sensors, and assets. To know more about our digital transformation services, talk to our experts today.
 
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HopalongPetrovski

I'm Spartacus!
Yep that’s the problem with secret meetings. If you tell people it’s no longer secret but if you don’t tell them they don’t turn up. Personally I quite enjoy my own company so being alone at all my secret meanings has never been an issue. 🤡🤡🤡
Who do you get to second the motions though? 🤣
 
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Diogenese

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MrRomper

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HopalongPetrovski

I'm Spartacus!
Yeah that’s a problem but on the plus side the minutes are really quick to take and type up later.🤡
That's why I stopped inviting all my imaginary friends and alternating ego's.
The typing was getting to be a bitch! 🤣
And none of us could afford a round.
 
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