Muy Bien
Im taking advantage of the fall and buying more. $1.53-$1.55 seemed like a nice entry for a few more to the pile! B
Hi Waihik Joe
Doing the same here. Ukraine turmoil would logically see a market pull back before correcting again
Thank you, but undeserved. So many people contribute so much more to society than me. And I'm just a cantankerous old bugger, who always roots for the underdogs in lifeWhat a beautiful human you are
Yes It's difficult to know the price. Anything under $3 is going to be handsomely rewarded. i don't need to buy any more, but sometimes you shouldn't look a gift horse in the mouth right? Tick tick tick, when to pull the trigger.
Was discussed a while ago
Agree with you though I'd don't want to. I do realise I'm being extremely naive but I think I need to think that when things start to seem a bit pointless.
Very much. I really don't think it excludes people from wanting to work. Mostly people want and need to feel like they are useful to others and need to be part of the community. To me it says you're a human you are valued we'd love to see you around. Not you're an unhappy, lazy unemployed person with no staying power, struggling to survive and cope mentally so you are garbage (off you go with all they other similar people). Absolutely people need a challenge/purpose to get out of bed in the morning but some are more driven than others and some seemingly need to work 24/7; I don't, but maybe I'm just burnt out and feeling isolated.. that's possible. I don't even do a particularly essential job and it's become my life and I still find some satisfaction in it but I don't always want to be there.
Excellent piece of writing FF. And unfortunately so true. This is a flaw in humanities genetic makeup and it pervades all levels of Government, business, Society and work. The saga re-TMH shows no one is exempt from its dirty grasp! Professionals seem struck down by it more than normal people.
Perhaps, but the Ukraine thing has been buzzing around for more than a month so the bigger players are already positioned, hence the general market correction. Similar with nervousness with the Fed raising rates, all built in. Unless there is something that happens that the market hasn’t factored in I believe we are near a bottom.
Hi Pepsin,Hi,
as Uiux posted some research on JAST in the seperate thread, I did some research about Bernabe Linares-Barranco, a researcher on neuromorphic computing, and came upon this recently published paper: "2022 roadmap on neuromorphic computing and engineering" https://iopscience.iop.org/article/10.1088/2634-4386/ac4a83
I didn´t read the 170-pages completely - just looked for some keywords. I also like the abstract, which basically underlines the statement by a Ford-Manager (?) that von Neumann-architecture is dead.
First of all the volume of the neuromorphic chip market in above linked article seems to be in line with the prediction in rayzors article:
"If the fundamental technical issues are solved in the next few years, the neuromorphic computing market is projected to rise from $0.2 billion in 2025 to $22 billion in 2035 [7] as neuromorphic computers with ultra-low power consumption and high speed advance and drive demands for neuromorphic devices." (page 4, line 59)
Another passage I found was the following about lidar:
"Given the real-time nature of ADAS computation, and the necessity to process correlated streams of visual and 3D point-cloud data (from lidar systems), there is some expectation that event-based neuromorphic computation may be more suitable than current GPU-type computational hardware. At least one neuromorphic event-based hardware startup is focused on real-time vision processing for
this purpose [7]."(p. 130 ll 27) - I was a little suprised about the source [7]: an article from and about NeuroFlow by GrAI Matter Labs. The authors didn´t have Akida in mind. Has anyone had a look at NeuroFlow? Even if they do not seem to have some Akida-advantages and i cannot see that their chip is in production, they seem to have a shared market with Akida - Lidar, cameras, wearables...
Lastly I was wondering why there is no mention of Brainchip and Akida - TrueNorth and Loihi get mentioned for example here:
"Notably, working neuromorphic olfaction algorithms have been deployed on diverse edge-compatible hardware platforms including Intel Loihi, IBM TrueNorth, field- programmable gate arrays, and custom neuromorphic devices [7, 12, 15, 18, 19]." (page 134 line 7) - I guess that´s because their chips have been distributed to research-institutions and Sean is going to change that for Akida in 2022?!
Greetings from Germany!
Hey Brain Fam,
Apologies if someone has posted this article already which is about Sony using AI to beat the best Grand Tourismo drivers. It reminded me of a presentation in which BrainChip had used examples of how Akida could be utilised in such a way. I couldn't find the presentation that I was thinking of but have copied an old video which demonstrates seomthing similar.
Damn It, Sony's AI Can Now Beat Us at Gran Turismo Racing, Too
With help from 1,000 PlayStation consoles, Sony taught an artificial intelligence system to race faster than human champions.www.cnet.com
Extract
Many AI systems are trained with real-world data through a system called deep learning that gives them the ability to recognize faces and to spot spam. GT Sophy used a different technique called reinforcement learning that starts with an entirely untrained system that has no idea what to do. It raced courses over and over again, following a human-designed reward system that encouraged better results and eventually mastered the game.
One particular difficulty was figuring out the unwritten rules of car racing, such as avoiding collisions and not inappropriately cutting off other drivers.
Hi Pepsin,Hi,
as Uiux posted some research on JAST in the seperate thread, I did some research about Bernabe Linares-Barranco, a researcher on neuromorphic computing, and came upon this recently published paper: "2022 roadmap on neuromorphic computing and engineering" https://iopscience.iop.org/article/10.1088/2634-4386/ac4a83
I didn´t read the 170-pages completely - just looked for some keywords. I also like the abstract, which basically underlines the statement by a Ford-Manager (?) that von Neumann-architecture is dead.
First of all the volume of the neuromorphic chip market in above linked article seems to be in line with the prediction in rayzors article:
"If the fundamental technical issues are solved in the next few years, the neuromorphic computing market is projected to rise from $0.2 billion in 2025 to $22 billion in 2035 [7] as neuromorphic computers with ultra-low power consumption and high speed advance and drive demands for neuromorphic devices." (page 4, line 59)
Another passage I found was the following about lidar:
"Given the real-time nature of ADAS computation, and the necessity to process correlated streams of visual and 3D point-cloud data (from lidar systems), there is some expectation that event-based neuromorphic computation may be more suitable than current GPU-type computational hardware. At least one neuromorphic event-based hardware startup is focused on real-time vision processing for
this purpose [7]."(p. 130 ll 27) - I was a little suprised about the source [7]: an article from and about NeuroFlow by GrAI Matter Labs. The authors didn´t have Akida in mind. Has anyone had a look at NeuroFlow? Even if they do not seem to have some Akida-advantages and i cannot see that their chip is in production, they seem to have a shared market with Akida - Lidar, cameras, wearables...
Lastly I was wondering why there is no mention of Brainchip and Akida - TrueNorth and Loihi get mentioned for example here:
"Notably, working neuromorphic olfaction algorithms have been deployed on diverse edge-compatible hardware platforms including Intel Loihi, IBM TrueNorth, field- programmable gate arrays, and custom neuromorphic devices [7, 12, 15, 18, 19]." (page 134 line 7) - I guess that´s because their chips have been distributed to research-institutions and Sean is going to change that for Akida in 2022?!
Greetings from Germany!
Hey Brain Fam,
Apologies if someone has posted this article already which is about Sony using AI to beat the best Grand Tourismo drivers. It reminded me of a presentation in which BrainChip had used examples of how Akida could be utilised in such a way. I couldn't find the presentation that I was thinking of but have copied an old video which demonstrates seomthing similar.
Damn It, Sony's AI Can Now Beat Us at Gran Turismo Racing, Too
With help from 1,000 PlayStation consoles, Sony taught an artificial intelligence system to race faster than human champions.
Extract
Many AI systems are trained with real-world data through a system called deep learning that gives them the ability to recognize faces and to spot spam. GT Sophy used a different technique called reinforcement learning that starts with an entirely untrained system that has no idea what to do. It raced courses over and over again, following a human-designed reward system that encouraged better results and eventually mastered the game.
One particular difficulty was figuring out the unwritten rules of car racing, such as avoiding collisions and not inappropriately cutting off other drivers.
