BRN Discussion Ongoing
- Thread starter TechGirl
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He's been using the cafe shibboleth for years.
The other one was takeover.
Now he's progressed to "my old man can beat your old man ..."
S
Straw
Guest
Its just creepy/cringeworthy.
mkm109
Regular
They only accept fools to their organisation.
It’s all disclosed in the name…
And they are living up to their name.
Non of us will be given the time of day by them. Only if any of us decides to be foolish and pay them, then they will honour that fool with some foolish advice.
Tothemoon24
Top 20
Anyone in Melbourne just feel that earth tremor?
Learning
Learning to the Top 🕵♂️
JoMo68
Regular
Yes, quite a bump and rattle!
cosors
👀
I haven't read such a ridiculous headline in the last three years. I do not follow the link he did not deserve.
Shorters use various means to sew fear into holders of stocks they are shorting.
This includes 'influencing' writers of articles in large circulation media outlets.
You can bet some of those serial downrampers on stock forums on highly shorted stocks are 'influenced' by the shorters.
You can put your own meaning to the word 'influenced".
Even broker recommendations are subject to shorter influence.
There is very little regulation or ethics when it comes to shorting.
I note that this MF article is published most likely to counter positive reaction to BRN marketing of late, Investor presentations etc.
Getupthere
Regular
The chip was billed as “the world’s first computer [chip] designed for generative AI”, the kind of systems that can quickly create human like text, images, and content. Just like the to-be-announced ChatGPT.
But not knowing ChatGPT was around the corner meant many believed Nvidia’s new H100 processor was doomed for failure, especially when sky-high inflation had prompted many companies to cut back on spending.
However since the chatbot’s launch and quick popularity, the world’s leading tech companies and start-ups have been desperately racing to get their hands on the H100, The Australian Financial Review reports.
Elon Musk, who has reportedly bought thousands of Nvidia chips for his new AI start-up X.ai, joked at a Wall Street Journal event that the GPUs were, at present, “considerably harder to get than drugs”.
This is how quickly things can turn in the AI space.
It’s like a drug.
apple.news
But not knowing ChatGPT was around the corner meant many believed Nvidia’s new H100 processor was doomed for failure, especially when sky-high inflation had prompted many companies to cut back on spending.
However since the chatbot’s launch and quick popularity, the world’s leading tech companies and start-ups have been desperately racing to get their hands on the H100, The Australian Financial Review reports.
Elon Musk, who has reportedly bought thousands of Nvidia chips for his new AI start-up X.ai, joked at a Wall Street Journal event that the GPUs were, at present, “considerably harder to get than drugs”.
This is how quickly things can turn in the AI space.
It’s like a drug.
Little-known company could crack $1 trillion — news.com.au
A little-known 30-year old tech company has seemingly come from nowhere to overtake tech giants Facebook and Tesla in the race to $1 trillion.
AusEire
Founding Member. It's ok to say No to Dot Joining
Good morning from the beautiful Worldwide Brainchip HQ that is Sydney Australia.
Micklepenis up to his old tricks again trying to give the shorts some ammo. Would also like to say thanks to Troy for sending me that article yesterday. It really did set me up for the day
Off to Ireland today for a couple of weeks. I can't confirm the volume of alcohol that will be consumed but I imagine that it will be considerable
Akida Ballista baby
Micklepenis up to his old tricks again trying to give the shorts some ammo. Would also like to say thanks to Troy for sending me that article yesterday. It really did set me up for the day
Off to Ireland today for a couple of weeks. I can't confirm the volume of alcohol that will be consumed but I imagine that it will be considerable
Akida Ballista baby
Have to laugh. An MF article from last year says around 1 sixth of stocks in the ASX 300 have RED balance sheets.
Yet BRN get crucified. Agendas.
www.fool.com.au
Yet BRN get crucified. Agendas.
Guess how many companies in the ASX 300 actually make no money
The S&P/ASX 300 Index (ASX: XKO) houses shares in most of the market’s biggest names. But a fair chunk of them are currently unprofitable.
www.fool.com.au
Intel Loihi again! Why not AKIDA?Michigan Tech News
Michigan Tech Researchers Develop ‘Smart’ Deep Brain Stimulation Systems for Parkinson’s Patients
Using Spiking Neural Networks to Detect Symptoms
Neuromorphic computing with memristors, shown here, allows researchers to develop improved deep brain stimulation systems that are more responsive and energy efficient, making life better for people with Parkinson's disease.
By Kimberly Geiger
Published 9:00 a.m., March 22, 2023
Comments (1)
DOI: Beta Oscillation Detector Design for Closed-Loop Deep Brain Stimulation of Parkinson’s Disease with Memristive Spiking Neural Networks
Researchers at Michigan Technological University are applying neuromorphic computing to improve the effectiveness and energy efficiency of deep brain stimulation systems used to treat Parkinson’s disease.
Currently incurable, Parkinson’s disease is a neurodegenerative disorder that affects millions worldwide. Deep brain stimulation (DBS) is an alternative to medications that are effective but lose effectiveness as patients develop drug resistance. Over time, larger doses of medication become necessary to control the condition and with them come potentially serious side effects. DBS is one alternative.
Making Deep Brain Stimulation Systems Better for Patients
DBS systems function like a pacemaker for the brain. They suppress the motor symptoms of Parkinson’s disease, including slowed or delayed movements (called bradykinesia), tremors and stiffness. An electrode, implanted into a specific target in the brain, emits electrical impulses using a battery-powered device in the chest.
DBS systems can be life-changing for people diagnosed with Parkinson’s disease. But battery life is a challenge. Current devices use an implantable pulse generator (IPG), surgically inserted in the chest or abdomen, to send stimulation signals to the brain at a constant frequency, regardless of the clinical state of the patient. Nonchargeable batteries last approximately two to five years. Battery replacement can be disruptive for patients; it requires a surgical procedure. And there can be unwanted side effects caused by the IPG’s continuous stimulation.
Graduate research assistant Hannah Loughlin, right, works with Traci Yu in the lab. Loughlin earned her biomedical engineering undergraduate degree at Michigan Tech in 2022, with minor in electrical engineering, and is pursuing her master's.
Chunxiu (Traci) Yu, an assistant professor of biomedical engineering, in collaboration with Hongyu An, an assistant professor of electrical and computer engineering, are working with their research teams to develop strategies using a different tool: neuromorphic computing.
“Referred to as brain-inspired computing or neuroscience-powered artificial intelligence, neuromorphic computing emulates a nervous system using microchips and algorithms. It is also highly energy-efficient,” Yu said.
Closed-Loop Smart System Offers Intelligent Adjustments
In both Yu’s Brain Stimulation Engineering Lab in the Department of Biomedical Engineering, and An’s Brain-Inspired AI lab in the Department of Electrical and Computer Engineering research teams are developing strategies to improve DBS systems.
The collaborative project is focused on a closed-loop DBS system that can intelligently adjust stimulus signals according to patient symptoms.
“Most current DBS systems are open-loop. The open-loop DBS is on 24 hours a day, 365 days a year,” said Yu. Open-loop systems are high in energy consumption, providing continuous stimulation to the brain because the real-time symptoms are unknown to the device. “Using a closed-loop system allows us to optimize the energy-efficiency of DBS devices,” Yu explained. “The patient’s brain signals are used to generate a treatment signal — a stimulation — as needed, in real time.”
Using Spiking Neural Networks to Detect Symptoms
The cornerstone of Yu and An’s closed-loop DBS are spiking neural networks, or SNNs, a type of artificial neural network. SNNs can detect Parkinson’s symptoms and generate optimized electric stimulus pulses.
“The communication signals within SNNs are represented with small spike electrical pulses, in volts,” An explained. “In digital systems, data is represented by high and low voltages. For example, a high voltage represents logic one and a low voltage level represents logic zero. In this way, digital systems encode data in binary numbers.”
Data in SNNs can be carried in time, such as the interval between spikes, according to An. “As a result of this, SNN systems have much higher energy-efficiency compared to other artificial neural networks,” he said.
The researchers’ new closed-loop DBS system is able to evaluate the severity of Parkinson’s symptoms by measuring neural activity at a specific brain wave, or oscillation, bandwidth. The areas of the brain that control movement generate beta oscillations.
“We use the beta oscillatory activity as a biomarker because it can be detected much faster than other means, such as tremor signals,” An said. “If the neural activity detected is unusually strong, it indicates the Parkinson’s disease symptoms are more severe.”
SNNs in An’s lab operate using one of the most advanced neuromorphic chips around: Intel Loihi. In a collaboration with Intel, the lab is actively exploring ways to use the chip’s ultra-efficient intelligence to help patients with Parkinson’s disease.
“We’ve discovered that neuromorphic chips, including Intel Loihi, outperform other computational platforms in terms of energy-efficiency by 109 times,” An said.
Graduate research assistant Noah Zins, left, works with Hongyu An on coding on Intel Loihi chip. In 2021 Zins earned his undergraduate degree in computer engineering with a mathematical sciences minor. The master's student is researching neuromorphic computing applications in robotics.
Another innovation: An and Yu replaced the SNN’s traditional electronic memory with a memristor: an electrical component used in next-generation computers and electronics. A memristor can both store information like a memory chip and resist the flow of electric current, like a resistor in an electrical circuit.
A memristor looks like a resistor. The difference is that its resistance is changeable. “With carefully designed signals, the resistance of a memristor can be changed into multiple or even thousands of different resistances. This feature significantly increases the amount of information that can be stored by individual memristors,” said An.
In simulations, DBS systems using memristors led to smaller chips, faster transmission signals and less energy use.
“This result is highly promising,” An said.
Communicating Their Research
Designing a Customized DBS Chip is the Next Step
An and Yu plan to collaboratively design their own memristive neuromorphic chip specifically for closed-loop DBS systems.
“Our research on these new, innovative computational paradigms — along with the design of emergent AI chips — will open a new door to greater and faster development of smart medical devices for brain rehabilitation,” said An. “Even wearable medical devices are now well within the realm of possibility.”
For their students at Michigan Tech, the ongoing joint research provides the kind of unique learning experience that comes with working on the cutting edge of chip design, AI, neuromorphic computing and brain-computer interface.
“The chance to discover new deep brain stimulation technologies that could help people suffering from neurological conditions in the future keeps me driven to continue working in the lab and help the advancement of knowledge in this area,” said Jacob Jackson ’23, a biomedical engineering major who conducts research in Yu’s lab. He plans to begin his graduate work at Michigan Tech in the fall. “I am enjoying neural engineering research so much that I knew it was the right path for me,” he said.
Kachoo
Regular
You need to understand that some research may and very well could be sponsored by Intel with $$ and resources provided for a study.
Not everything will be Akida. It's okay that does not discredit Akida it's just the world we live in.
Yes true. As part of Intel foundry we may be included in these sorts of collaborations in the future too. Cheers
Deadpool
hyper-efficient Ai
The "DOT" thickens.
Ghost bat spied in US
breakingdefense.com
Ghost bat spied in US
Boeing's Ghost Bat loyal wingman drone spotted hanging in US - Breaking Defense
The Air Force said months ago it was planning to run flight experiments with the unmanned system, and even though this Ghost Bat was housed not far from an Air Force base, it's unclear if the testing has begun.
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