Frangipani
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Frangipani
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Speaking of BAE Systems:
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BAE Systems FAST Labs Microelectronics Science and Technology (MS&T) area architects novel and beyond-next-generation RF, mixed-signal, and digital integrated circuits and chipsets, and delivers those new custom microelectronics capabilities into systems. With ongoing growth, MS&T is seeking a technology leader to help drive its strategy forward. The candidate for this position will lead Digital Microelectronics research and development pursuits, programs, and strategies. The trajectory of this portfolio includes algorithmic hardware accelerators, digital signal processor SOCs and ASICs, radiation hard microelectronics, non-traditional compute microelectronics architectures, and new high-risk/high-reward novel compute technologies.
The candidate will lead in engagement with external and internal customers to build, win, and execute programs that support the research and development of digital microelectronics technology. They are expected to leverage their position, reputation, and technical expertise to maintain and expand relationships with government R&D organization such as Department of Commerce, ONR, AFRL, OUSD(R&E), OUSD(A&S), DARPA, etc. Through their internal and external network, the candidate is expected to advance the Digital microelectronics technical and programmatic roadmaps while maintaining alignment across the broader MS&T area.
This job can be hybrid (on-site >=50% of time) or fully on-site.
In this job role, qualified candidates can expect to:
The ideal candidate will possess the following:
Full-Time Salary Range: $140690 – $239140
Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience.
Employee Benefits: At BAE Systems, we support our employees in all aspects of their life, including their health and financial well-being. Regular employees scheduled to work 20 hours per week are offered: health, dental, and vision insurance; health savings accounts; a 401(k) savings plan; disability coverage; and life and accident insurance. We also have an employee assistance program, a legal plan, and other perks including discounts on things like home, auto, and pet insurance. Our leave programs include paid time off, paid holidays, as well as other types of leave, including paid parental, military, bereavement, and any applicable federal and state sick leave. Employees may participate in the company recognition program to receive monetary or non-monetary recognition awards. Other incentives may be available based on position level and/or job specifics.
Digital Microelectronics Technology Development Lead
103227BR
EEO Career Site Equal Opportunity Employer. Minorities . females . veterans . individuals with disabilities . sexual orientation . gender identity . gender expression
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Digital Microelectronics Technology Development Lead
PUBLISHED: JULY 3, 2024 ONSITE ARLINGTON, VIRGINIA FULL TIME BUSINESS & FINANCEMECHANICAL ENGINEERINGSave
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Description
Job DescriptionBAE Systems FAST Labs Microelectronics Science and Technology (MS&T) area architects novel and beyond-next-generation RF, mixed-signal, and digital integrated circuits and chipsets, and delivers those new custom microelectronics capabilities into systems. With ongoing growth, MS&T is seeking a technology leader to help drive its strategy forward. The candidate for this position will lead Digital Microelectronics research and development pursuits, programs, and strategies. The trajectory of this portfolio includes algorithmic hardware accelerators, digital signal processor SOCs and ASICs, radiation hard microelectronics, non-traditional compute microelectronics architectures, and new high-risk/high-reward novel compute technologies.
The candidate will lead in engagement with external and internal customers to build, win, and execute programs that support the research and development of digital microelectronics technology. They are expected to leverage their position, reputation, and technical expertise to maintain and expand relationships with government R&D organization such as Department of Commerce, ONR, AFRL, OUSD(R&E), OUSD(A&S), DARPA, etc. Through their internal and external network, the candidate is expected to advance the Digital microelectronics technical and programmatic roadmaps while maintaining alignment across the broader MS&T area.
This job can be hybrid (on-site >=50% of time) or fully on-site.
In this job role, qualified candidates can expect to:
- Lead relevant research programs of 3-50 people as principal investigator
- Provide business and execution oversight of programs valued at $1-50M
- Lead pursuits and proposals
- Expand and maintain strategic relationships with government agencies, external companies, and other BAE Systems groups and business areas
- Implement a programmatic strategy to fund technology development
- Pursue personal and portfolio growth so as to support a broad team of scientists, researchers, and technology developers
- This position can be based out of our Merrimack, NH; Nashua, NH; Burlington, MA; Lexington, MA; Manassas, VA; or Arlington, VA facilities, though it will require collaboration with staff across our business areas and facilities in the Northeast.
The ideal candidate will possess the following:
- Excellent written and oral communication skills
- Experience capturing and leading projects within the defense microelectronics community, at the cutting edge of technology
- Prior experience as principal investigator on DoD R&D programs
- Track record of technical innovation as evidenced by journal and conference publications or patent filings
- Demonstrable entrepreneurial drive
- Experience in at least one of the following areas:
- Digital Signal Processing
- AI/ML Hardware Acceleration
- Digital system architecture
- Neural networks or neuromorphic engineering
- In-memory compute processors
- Ability to obtain clearance at the Secret level or higher
- Masters or PhD in electrical engineering or related field
Full-Time Salary Range: $140690 – $239140
Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience.
Employee Benefits: At BAE Systems, we support our employees in all aspects of their life, including their health and financial well-being. Regular employees scheduled to work 20 hours per week are offered: health, dental, and vision insurance; health savings accounts; a 401(k) savings plan; disability coverage; and life and accident insurance. We also have an employee assistance program, a legal plan, and other perks including discounts on things like home, auto, and pet insurance. Our leave programs include paid time off, paid holidays, as well as other types of leave, including paid parental, military, bereavement, and any applicable federal and state sick leave. Employees may participate in the company recognition program to receive monetary or non-monetary recognition awards. Other incentives may be available based on position level and/or job specifics.
Digital Microelectronics Technology Development Lead
103227BR
EEO Career Site Equal Opportunity Employer. Minorities . females . veterans . individuals with disabilities . sexual orientation . gender identity . gender expression
buena suerte :-)
BOB Bank of Brainchip
Shadow59
Regular
LOL. That reply is very ironic
Shadow59
Regular
The irony is in Rob's last sentence.
overpup
Regular
...it's a Brain Chips!
Bravo
If ARM was an arm, BRN would be its biceps💪!
The full article requires paid subscription.
Arm's grand AI blueprint: standardizing chip designs with global partnership
Arm, the world's largest semiconductor IP company, is reportedly drafting a new blueprint for the AI era.
www.digitimes.com
buena suerte :-)
BOB Bank of Brainchip
Bravo
If ARM was an arm, BRN would be its biceps💪!
Can the climate survive the insatiable energy demands of the AI arms race?
New computing infrastructure means big tech is likely to miss emissions targets but they can’t afford to get left behind in a winner takes all marketDan Milmo, Alex Hern and Jillian Ambrose
Thu 4 Jul 2024 15.00 AEST
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The artificial intelligence boom has driven big tech share prices to fresh highs, but at the cost of the sector’s climate aspirations.
Google admitted on Tuesday that the technology is threatening its environmental targets after revealing that datacentres, a key piece of AI infrastructure, had helped increase its greenhouse gas emissions by 48% since 2019. It said “significant uncertainty” around reaching its target of net zero emissions by 2030 – reducing the overall amount of CO2 emissions it is responsible for to zero – included “the uncertainty around the future environmental impact of AI, which is complex and difficult to predict”.
It follows Microsoft, the biggest financial backer of ChatGPT developer OpenAI, admitting that its 2030 net zero “moonshot” might not succeed owing to its AI strategy.
So will tech be able to bring down AI’s environmental cost, or will the industry plough on regardless because the prize of supremacy is so great?
Why does AI pose a threat to tech companies’ green goals?
Datacentres are a core component of training and operating AI models such as Google’s Gemini or OpenAI’s GPT-4. They contain the sophisticated computing equipment, or servers, that crunch through the vast reams of data underpinning AI systems. They require large amounts of electricity to run, which generates CO2 depending on the energy source, as well as creating “embedded” CO2 from the cost of manufacturing and transporting the necessary equipment.According to the International Energy Agency, total electricity consumption from datacentres could double from 2022 levels to 1,000 TWh (terawatt hours) in 2026, equivalent to the energy demand of Japan, while research firm SemiAnalysis calculates that AI will result in datacentres using 4.5% of global energy generation by 2030. Water usage is significant too, with one study estimating that AI could account for up to 6.6bn cubic metres of water use by 2027 – nearly two-thirds of England’s annual consumption.
What do experts say about the environmental impact?
A recent UK government-backed report on AI safety said that the carbon intensity of the energy source used by tech firms is “a key variable” in working out the environmental cost of the technology. It adds, however, that a “significant portion” of AI model training still relies on fossil fuel-powered energy.Indeed, tech firms are hoovering up renewable energy contracts in an attempt to meet their environmental goals. Amazon, for instance, is the world’s largest corporate purchaser of renewable energy. Some experts argue, though, that this pushes other energy users into fossil fuels because there is not enough clean energy to go round.
“Energy consumption is not just growing, but Google is also struggling to meet this increased demand from sustainable energy sources,” says Alex de Vries, the founder of Digiconomist, a website monitoring the environmental impact of new technologies.
Is there enough renewable energy to go round?
Global governments plan to triple the world’s renewable energy resources by the end of the decade to cut consumption of fossil fuels in line with climate targets. But the ambitious pledge, agreed at last year’s COP28 climate talks, is already in doubt and experts fear that a sharp increase in energy demand from AI datacentres may push it further out of reach.The IEA, the world’s energy watchdog, has warned that even though global renewable energy capacity grew by the fastest pace recorded in the past 20 years in 2023, the world may only double its renewable energy by 2030 under current government plans.
The answer to AI’s energy appetite may be for tech companies to invest more heavily in building new renewable energy projects to meet their growing power demand.
Can the climate survive the insatiable energy demands of the AI arms race?
New computing infrastructure means big tech is likely to miss emissions targets but they can’t afford to get left behind in a winner takes all market
Ultra-processed foods may not only affect our bodies, but our brains too. —such as chips
Space Cadet
Regular
Ahh so that is why, as I am getting older the missus keeps referring to me a chip for brains. My hearing is getting a lot worse as well.
I think that's what she says!
SC
Bravo
If ARM was an arm, BRN would be its biceps💪!
Wonder if we get a look in or have had any input here at all?
This paper has just been released and whilst there is no mention of us and the work benefited from some input from Dr's at Numenta (they work with CPUs) after a guest lecture at CMU, there has been some history with Akida and cortical column work at CMU with John Shen et al as per a prev post of mine below for reference.
From memory I think @Diogenese or someone mentioned PVDM had looked at or studied or started on similar but could be mistaken.
Submitted on 20 May 2024]
NeRTCAM: CAM-Based CMOS Implementation of Reference Frames for Neuromorphic Processors
NeRTCAM: CAM-Based CMOS Implementation of Reference Frames for Neuromorphic Processors
Neuromorphic architectures mimicking biological neural networks have been proposed as a much more efficient alternative to conventional von Neumann architectures for the exploding compute demands of AI workloads. Recent neuroscience theory on intelligence suggests that Cortical Columns (CCs) are...arxiv.org
CAM-Based CMOS Implementation Of Reference Frames For Neuromorphic Processors (Carnegie Mellon U.)
A technical paper titled “NeRTCAM: CAM-Based CMOS Implementation of Reference Frames for Neuromorphic Processors” was published by researchers at Carnegie Mellon University. Abstract: “Neuromorphic architectures mimicking biological neural networks have been proposed as a much more efficient...semiengineering.com
View attachment 64271
Some info in the previous post on C3S cortical columns.
BRN Discussion Ongoing
I think "sales"has always reported directly to Sean. He told me at the AGM get-together that his day starts at 4am and every Monday is a sales meeting to track strategy and progress. He struck me as a serious dude who knows how it's done and what it takes having cultivated the skillset himself...thestockexchange.com.au
Sri Lakshmi Vemulapalli
Research Assistant at Neuromorphic Computer Architecture Lab | ECE Graduate Student at Carnegie Mellon University | Seeking full time positions starting immediately.
Carnegie Mellon UniversityCarnegie Mellon University
Carnegie Mellon University
1 year 1 month
Teaching Assistant
Jan 2023 - May 20235 months
Pittsburgh, Pennsylvania, United States
Working as a Teaching Assistant for 18698 - Neural Signal Processing.Research Assistant
Aug 2022 - May 202310 months
Pittsburgh, Pennsylvania, United States
Working as a Research Assistant under Prof. John Shen on a Neural Processor, “Akida” by Brainchip.
- Developing a C3S designs in MetaTF and map to Akida chip.
- Developing a technique for the conversion of CNNs to Spiking Neural Networks (SNN) and designing a framework for Native TNNs.
Thousand Brains Project (not to be confused with the "thousand eyes" because that's us
) has received funding from the Gates Foundation - $2.69 million over two years.The Thousand Brains Project aims to develop a new AI platform based on the brains cortical columns (hello PVDM).
Professor John Shen from Carnegie Melon University is designing the hardware.
Refer to FMF's post above to re history of AKIDA + John Shen.
New AI Project Aims to Push Beyond Neural Networks
The Gates-funded Thousand Brains Project will mimic the human neocortex
spectrum.ieee.org
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Bravo
If ARM was an arm, BRN would be its biceps💪!
If anyone can read this summary and explain what it means and whether it might assist us in some way, I'll give you $100.
www.nature.com
Topologically protected edge states for neuromorphic computing - Nature Nanotechnology
Coexisting ferroelectricity and Chern insulators have been achieved using a doubly aligned magic-angle twisted bilayer graphene device. This device enables selective switching of topologically protected edge states and quasi-continuous ferroelectric levels that can support noise-immune...
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Bravo
If ARM was an arm, BRN would be its biceps💪!
MERCEDES EXEC BLASTS TESLA FOR RECKLESS “FULL SELF-DRIVING” ROLLOUT
"IF THINGS ARE OVERPROMISED OR DO UNDERPERFORM, EVEN IF IT'S VERY SELDOM, THE ENTIRE TRUST IN AUTONOMOUS DRIVING ITSELF LOSES CONFIDENCE."
TESLA / FUTURISMBaby Steps
Tesla has gotten plenty of flack for the way it's been rolling out its controversial "Autopilot" and "Full Self-Driving" driver assistance software.For years now, the Elon Musk-led company has used the general public as guinea pigs, offering its customers to beta test FSD through a mind-bogglingly expensive beta.
And the data speaks for itself: regulators are investigating hundreds of crashes involving the company's self-driving software, including dozens of deaths.
It's an approach to autonomous driving that could backfire spectacularly, Musk's executive peers say, further eroding trust in self-driving tech overall.
Such a rollout "should be a step-by-step approach." Mercedes-Benz's autonomous driving head Jochen Haab told Drive. "Do it slowly, but do it the right way. Build trust, build confidence."
Overpromise and Underperform
Haab took aim at Tesla's boisterous marketing, something that regulators have found could lead to overconfident drivers who overestimate its capabilities and end up behaving dangerously on the road."We're concerned about others, let's say, promising too much," Haab told Drive. "That's not the way we approach things."
"The problem is — if things are overpromised or do underperform, even if it's very seldom, the entire trust in autonomous driving itself loses confidence," he added. "And that's a bad thing."
A JD Power study last year more or less confirmed Haab's suspicions, finding that consumers are losing confidence in self-driving cars. A separate AAA survey in March found that 68 percent of Americans are afraid of self-driving cars, an increase of 13 percent year over year.
Mercedes has been working on its own Level 3 autonomous driving system, meaning that vehicles can make informed decisions for themselves but still require human drivers poised to take over at any time — although they're able to take their eyes off the road for short periods. The tech was greenlit in California and Nevada last year, making the German automaker the first company in the US to sell cars with Level 3 features.
Tesla's FSD system is still technically considered Level 2, a subtle distinction that means humans are still very much expected to be in control over the vehicle.
By misleadingly marketing it as "Full Self-Driving," and allowing the public to beta test incomplete and deeply flawed software, Tesla is putting the self-driving cart in front of the horse.
"We deal with the risk and then we take the step," Haab told Drive. "We do field validation, we act as if we're the customers."
Haab argued that Mercedes only beta tests with trained employees, who are "skilled engineers or testing drivers."
Given the documented drop in confidence among consumers, there's good reason to be wary of Tesla's move-fast and break-things approach to what it calls "self-driving."
https://futurism.com/tesla-laying-off-every-employee-superchargers
Mercedes Exec Blasts Tesla for Reckless “Full Self-Driving” Rollout
Mercedes-Benz's autonomous driving head Jochen Haab criticized Tesla's autonomous driving rollout, arguing it erodes trust.
Bravo
If ARM was an arm, BRN would be its biceps💪!
Here's the most recent Nintendo investor-focused Q&A.
I used to google to translate the blue highlighted section on Q8.
I used to google to translate the blue highlighted section on Q8.
Smoothsailing
Regular
What are your thoughts on this Bravo, could we be apart of this ?
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