Cyw
Regular
Be lucky to finish the day green.
If the point of capping is to accumulate at a lower price, they sure are selling a lot to cap the price and not buying much to accumulate.
Be lucky to finish the day green.
I wonder if the vehicle would consider road rage a medical fit, pull the car over and call the ambulance..The ones we have installed in our work vehicles(seeing machines sold and monitored by westrac) have no issue with glasses or sunglasses. the early version one models had a few issues with some polarised lenses but that has been fixed which is good as safety glasses have to be worn on site at all times, even while driving. As I have been installing and maintaining these I have had a good chance to play with them without sending out alerts to my boss. They are very accurate as far as I can tell no matter what your wearing. biggest issue has been people putting their heads on funny angles, particularly when driving into morning or afternoon sun, it thinks they have gone to sleep.
They are betting on CPI report sept 13 and interest rate announcement 21st of SeptemberIf the point of capping is to accumulate at a lower price, they sure are selling a lot to cap the price and not buying much to accumulate.
Picking one stock to do that? I would write calls on the S&P500 instead.They are betting on CPI report sept 13 and interest rate announcement 21st of September
Multiple people do it on multuple stocks especially stocks they dislike like the Shareman crewPicking one stock to do that? I would write calls on the S&P500 instead.
4.6 billion sensors in 2027.
Neuromorphic Computing Will Revolutionize the Edge
September 11, 2022 Sally Ward-Foxton
As biomimicry in computing becomes mainstream, it will start by changing everything about edge computing.
Biomimicry, the science-slash-art of copying natural structures, is not a new idea. For decades, we have been trying to copy biological brains to make efficient computers, only slightly deterred by the fact that we don’t know how biological intelligence works exactly. Armed with our best guesses, we developed models of the neuron and spiking neural networks based on the human brain, and we are now trying to develop these in silicon. Silicon imitations generally use simplified versions of the neuron, but they can still offer distinct advantages to edge applications that need fast, energy-efficient processing to make decisions.
ABI Research reports that 4.6 billion sensors will ship in 2027, embedded in smart-home devices, robots, and appliances, up from 1.8 billion in 2021. These additional sensors will support existing and new functions going forward, resulting in a surge of sensor data that will need to be processed. While the vast majority of smart-home devices and appliances will feature internet connections by 2027, the cloud may not be the best place for this data to be processed. There’s a cost attached to hosting and processing this data in the cloud, it’s slow, and there are privacy implications.
The best bet for processing sensor data in real time, very close to the sensor, may well be neuromorphic computing. Demonstrations of neuromorphic computing systems have proven the technology’s value for ultra-fast, ultra-low–power decision-making at the edge. Biomimicry in computing and neuromorphic computing are poised to bring a whole new level of intelligence to edge devices, making it feasible to add decision-making power to devices with extreme limits on energy consumption and speed. As spiking networks and specialized hardware continue to develop, the effects will become even more pronounced.
Neuromorphic’s competitor, deep learning (the paradigm that powers most of mainstream AI today), is developing fast. Today, it’s easily possible to do small deep-learning applications, including keyword spotting and basic image processing, on a sub-US$1 microcontroller. But neuromorphic concepts take this a step further, squeezing into minuscule energy budgets. Will these technologies compete or coexist at the edge? The most likely medium-term scenario is coexistence — with millions of use cases at the edge, there are millions of niches, and some may suit neuromorphic computing better, for technical or commercial reasons.
While the demise of Moore’s Law has been somewhat circumvented by accelerated computing/domain-specific computing, it’s still a tricky balance between flexibility in the computing architecture and performance, especially for quickly evolving workloads like AI. Taking our cue from the most efficient computer ever known — the human brain — and using the results of millions of years of evolution as a starting point feels like a safe bet.
4.6 billion sensors in 2027.
Is it reasonable to expect that Valeo, ARM, SiFive, Renesas, MegaChips, Prophesee, nViso, Edge Impulse, NASA, ISL, Intellisense and Numen will capture 10 percent or more of this market which is 460 million sensors being made smart with neuromorphic edge computing.
460 million times 10 cents is $US46 million
460 million times 50 cents is $US230 million
Perhaps some might think 10% is far too conservative for these 12 companies to capture.
If they capture 40% of this market then these numbers jump to $US184 million to $US920 million.
Silly me I left out Mercedes Benz automotive sensor applications.
My opinion only DYOR
FF
AKIDA BALLISTA
Yes, silly you FF! You also left out Nanose which Professor Haick said will be available within 3 years.
Yes, silly you FF! You also left out Nanose which Professor Haick said will be available within 3 years.
How to benefit from BrainChip’s breathtaking potential in 2022
Behzad Golmohammadi, June 17, 2022
Who is BrainChip?
BrainChip Holdings Ltd (ASX: BRN) develops software and hardware solutions for artificial intelligence (AI) and machine learning applications. The company’s key product is the Akida Neuromorphic Processor, which is in essence a Spiking Neural Network (SNN). It provides ultra-low power and fast AI (artificial intelligence) Edge computing solutions without the need for a continuous internet connection. Additionally, unsupervised learning capabilities and on-chip processing (rather than in the Cloud) set Akida apart from other AI solutions on the market
Then there are those less important things like intelligent door bells, home & commercial security, white goods, aged and disability in home monitoring that might be covered by these NDA EAP's. Just think how big the market would be on social media for an intelligent common sense detector (made this one up) but in the 5G and 6G network space the cognitive communication system will need intelligent sensors and someone was at least talking to Brainchip in the communication space according to the CEO Sean Hehir not that long ago.And of course there might be other companies in the 8 to 10 yet to be exposed NDA EAP customers who work in the edge sensor space covering agriculture, industrial robotics, aviation, mining, health delivery, drones and before you pick me up on it I left out Biotome and Leaky Gut Belt.
My opinion only but even 40% might be seen as conservative so DYOR
FF
AKIDA BALLISTA
Sorry I am not either but the full article was posted by someone else here so we must have someone else amongst the 1,000 Eyes who can assist with Stocks Down Under.How to benefit from BrainChip’s breathtaking potential in 2022
Behzad Golmohammadi, June 17, 2022
Who is BrainChip?
BrainChip Holdings Ltd (ASX: BRN) develops software and hardware solutions for artificial intelligence (AI) and machine learning applications. The company’s key product is the Akida Neuromorphic Processor, which is in essence a Spiking Neural Network (SNN). It provides ultra-low power and fast AI (artificial intelligence) Edge computing solutions without the need for a continuous internet connection. Additionally, unsupervised learning capabilities and on-chip processing (rather than in the Cloud) set Akida apart from other AI solutions on the market
Sorry I am not either but the full article was posted by someone else here so we must have someone else amongst the 1,000 Eyes who can assist with Stocks Down Under.
Regards
FF
AKIDA BALLISTA
4.6 billion sensors in 2027.
Is it reasonable to expect that Valeo, ARM, SiFive, Renesas, MegaChips, Prophesee, nViso, Edge Impulse, NASA, ISL, Intellisense and Numen will capture 10 percent or more of this market which is 460 million sensors being made smart with neuromorphic edge computing.
460 million times 10 cents is $US46 million
460 million times 50 cents is $US230 million
Perhaps some might think 10% is far too conservative for these 12 companies to capture.
If they capture 40% of this market then these numbers jump to $US184 million to $US920 million.
Silly me I left out Mercedes Benz automotive sensor applications.
My opinion only DYOR
FF
AKIDA BALLISTA