Noch verstehen wir das Bewusstsein nicht.

https://www.derstandard.de/story/3000000176998/ein-philosoph-und-ein-neurologe-wetteten-um-die-natur-des-bewusstseins

#ki #ai #StrongAi #DeepNeuralNetworks

Find our latest contribution on use of #biomechanics analysis with Deep Neural Networks for #Parkinson state classification. #DeepNeuralNetworks #TUG

https://www.frontiersin.org/articles/10.3389/fnagi.2023.1152917/full?utm_source=F-NTF&utm_medium=EMLX&utm_campaign=PRD_FEOPS_20170000_ARTICLE

Referenced link: https://techxplore.com/news/2023-03-architecture-combines-deep-neural-networks.html
Discuss on https://discu.eu/q/https://techxplore.com/news/2023-03-architecture-combines-deep-neural-networks.html

Originally posted by Phys.org / @physorg_com: http://nitter.platypush.tech/TechXplore_com/status/1641437632524697602#m

RT by @physorg_com: An #architecture that combines #deepneuralnetworks and vector-symbolic models @NatMachIntell https://www.nature.com/articles/s42256-023-00630-8 https://techxplore.com/news/2023-03-architecture-combines-deep-neural-networks.html

Wow. In 24 hours, we have gone from zero to 4.4K followers, that‘s crazy. Thank you for a warm welcome and excellent tips. I gave up on replying to all of you after someone pointed out that I was spamming thousands of people – sorry! Also, please do not read too much into it if we do not respond or take a long time responding, we are a busy bunch and may simply sometimes miss your post or messages. Mastodon allows long posts so I am taking advantage of that, so here are a few things that you may – or may not – want to know.

—Who are we?—

Research in the Icelandic Vision Lab (https://visionlab.is) focuses on all things visual, with a major emphasis on higher-level or “cognitive” aspects of visual perception. It is co-run by five Principal Investigators: Árni Gunnar Ásgeirsson, Sabrina Hansmann-Roth, Árni Kristjánsson, Inga María Ólafsdóttir, and Heida Maria Sigurdardottir. Here on Mastodon, you will most likely be interacting with me – Heida – but other PIs and potentially other lab members (https://visionlab.is/people) may occasionally also post here as this is a joint account. If our posts are stupid and/or annoying, I will however almost surely be responsible!

—What do we do?—

Current and/or past research at IVL has looked at several visual processes, including #VisualAttention , #EyeMovements , #ObjectPerception , #FacePerception , #VisualMemory , #VisualStatistics , and the role of #Experience / #Learning effects in #VisualPerception . Some of our work concerns the basic properties of the workings of the typical adult #VisualSystem . We have also studied the perceptual capabilities of several unique populations, including children, synesthetes, professional athletes, people with anxiety disorders, blind people, and dyslexic readers. We focus on #BehavioralMethods but also make use of other techniques including #Electrophysiology , #EyeTracking , and #DeepNeuralNetworks

—Why are we here?—

We are mostly here to interact with other researchers in our field, including graduate students, postdoctoral researchers, and principal investigators. This means that our activity on Mastodon may sometimes be quite niche. This can include boosting posts from others on research papers, conferences, or work opportunities in specialized fields, partaking in discussions on debates in our field, data analysis, or the scientific review process. Science communication and outreach are hugely important, but this account is not about that as such. So we take no offence if that means that you will unfollow us, that is perfectly alright :)

—But will there still sometimes be stupid memes as promised?—

Yes. They may or may not be funny, but they will be stupid.

#VisionScience #CognitivePsychology #CognitiveScience #CognitiveNeuroscience #StupidMemes

AI-based drifting? Yes! In this paper the authors use Vehicle Physics Pro with a deep neural network to drift in arbitrary trajectories.

https://ieeexplore.ieee.org/document/9812249/references#references

VPP is the reference [16].

#Unity3D #MadeWithUnity #Drifting #DeepLearning #Research #AI #DeepNeuralNetworks

Working with #datascience , #machinelerning and #geospatial #remotesensing data. Also research on #GeoAI and #deepneuralnetworks designs. I understand #gis #geoinformatics . You can check me out on Google scholar and LinkedIn.
Happy to make new friends here. Also, love #techno.

Another reason (among many) why I became disenchanted with #Cybernetics and had to “invent” #Kihbernetics.

Warren Sturgis McCulloch, the co-inventor of the first computational model of a #Neuron that was the precursor for #AI and #DeepNeuralNetworks, uses a racial slur to incorrectly suggest that Cybernetics is somehow the result of the “interbreeding” between the Natural and the Artificial in the preface he wrote for Gordon Pask’s book:

https://www.goodreads.com/en/book/show/3965798-an-approach-to-cybernetics

@cloy I want to follow this thread. I'd be interested, too. I'm interested in #ADAS #ComputerVision #DataScience #DeepNeuralNetworks #JetsonNano #RaspberryPi #OAK-D #OpenCV and of course #Python #C++ (I don't know if it will take that last tag) #C

I got interested in #BiologicallyInspiredComputing when I learned about #ArtificialLife #ALife. At that time the computing resources available were limited compared to today. Now we have #DeepNeuralNetworks #DNN but it is widely agreed (including by me) that they do not replace natural #cognition. #BiologicallyInspiredComputing can be used as an application technology, but how do we use #Computing to understand #Cognition?

Scientists Increasingly Can’t Explain How AI Works

Deep neural networks (DNN)—made up of layers and layers of processing systems trained on human-created data to mimic the neural networks of our brains—often seem to mirror not just human intelligence but also human inexplicability

#DeepNeuralNetworks #artificialintelligence #ai #machinelearning #data #bigdata #tehcnology #tech #innovation

https://www.vice.com/en/article/y3pezm/scientists-increasingly-cant-explain-how-ai-works

Referenced link: https://hackernoon.com/spoken-language-understanding-slu-vs-natural-language-understanding-nlu
Discuss on https://discu.eu/q/https://hackernoon.com/spoken-language-understanding-slu-vs-natural-language-understanding-nlu

Originally posted by HackerNoon | Learn Any Technology / @hackernoon@twitter.com: https://twitter.com/hackernoon/status/1582630163283873794#m

Differences between SLU (Spoken Language Understanding) and NLU (Natural Language Understanding). Top FOSS and paid engines and their approach to SLU. - https://hackernoon.com/spoken-language-understanding-slu-vs-natural-language-understanding-nlu #deeplearning #deepneuralnetworks

A collection of exciting video lectures to learn deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP.

https://github.com/kmario23/deep-learning-drizzle

#MachineLearning #DeepLearning #deepneuralnetworks #computervision #nlp #reinforcementlearning #ArtificialIntelligence