Was künstliche Intelligenz leisten könnte und wo sie unbedingt eingehegt und kontrolliert werden sollte, erläutern Miriam Meckel und Léa Steinacker. Eine Rezension

Miriam Meckel und Léa Steinacker geben einen Überblick über Chancen und Risiken künstlicher Intelligenz. Ein guter Einstieg ins Thema. Eine Rezension (Rezension zu Alles überall auf einmal von Miriam Meckel, Léa Steinacker)#KünstlicheIntelligenz #ChatGPT #Chatbot #Alghorithmen #Algorithmus #Roboter #Informationstechnik #KI #Internet #Digital #Desinformation #BigData #DataScience #DeepLearning #LargeLanguage #Quantencomputing #AugmentedReality #DeepFake #Blockchain #CloudComputing #ITTech #Kultur #Mathematik #PsychologieHirnforschung
»Alles überall auf einmal«: An der Schwelle eines neuen Zeitalters

»Alles überall auf einmal«: An der Schwelle eines neuen Zeitalters

Miriam Meckel und Léa Steinacker geben einen Überblick über Chancen und Risiken künstlicher Intelligenz. Ein guter Einstieg ins Thema. Eine Rezension (Rezension zu Alles überall auf einmal von Miriam Meckel, Léa Steinacker)

AI can't cross this line on a graph and we don't know why.

The graph has the "error" that the neural net is trying to minimize as part of its training (also called the "loss") on the vertical axis.

On the horizontal axis, it has the amount of computing power thrown at the training process.

When switched to a log-log graph -- logarithmic on both axes -- a straight line emerges.

This is actually one of 3 observed neural network scaling laws. The other two look at model size and dataset size, and see a similar pattern.

Have we discovered some fundamental law of nature, like the ideal gas law in chemistry, or is this an artifact of the particular methods we are using now to train neural networks?

You might think someone knows but no one knows.

That didn't stop this YouTuber from making some good animations of the graphs and various concepts in neural network training, such as cross-entropy. It introduces the interesting concept that language may have a certain inherent entropy.

The best theory as to why the scaling laws hold tries to explain it in terms of neural networks learning high-dimensional manifolds.

AI can't cross this line and we don't know why. - Welch Labs

#solidstatelife #ai #llms #genai #deeplearning #neuralnetworks #scalinglaws

The full text of Simon J.D. Prince's book Understanding Deep Learning is available online for free -- though the author asks that you buy the book and write a (positive, one would hope) review on Amazon. He will make a 2nd edition if sales are good.

The book is around 500 pages and a glance at the table of contents shows it goes from fundamentals to very advanced topics: Supervised learning, shallow neural networks, deep neural networks, loss functions (maximum likelihood, univariate regression, classification, cross-entropy, etc), gradient descent, stochastic gradient descent, initialization, the backpropagation algorithm, hyperparameters, regularization, convolutional neural networks, residual networks, transformers, graph neural networks, unsupervised learning, generative adversarial networks (styleGAN, etc), normalizing flows, variational autoencoders, diffusion models, reinforcement learning, why does deep learning work? and ethics. Appendices for notation, mathematics, and probability.

Simon J.D. Prince: Understanding Deep Learning

#solidstatelife #ai #deeplearning #sgd #backpropagation #genai #gans #aieducation

Understanding Deep Learning: Free MIT Press EBook For Instructors And Students

#news #deeplearning #hackaday
posted by pod_feeder_v2

Understanding Deep Learning: Free MIT Press EBook For Instructors And Students

The recently published book Understanding Deep Learning by [Simon J. D. Prince] is notable not only for focusing primarily on the concepts behind Deep Learning — which should make it highly a…

Wird künstliche Intelligenz Ärztinnen und Ärzte ersetzen können? Bekommt jede Praxis künftig einen eigenen Chatbot? Und ist KI wirklich intelligent, oder kann das weg? Teil drei der Jahreswechsel-Episoden vom »EvidenzUpdate«-Podcast. 🎙️#KI #AI #LLM #DeepLearning #KünstlicheIntelligenz #Corona-Update #Medizin
Corona-Update: Über böse Uhren und eine euphorisierte Zukünftigkeit

Corona-Update: Über böse Uhren und eine euphorisierte Zukünftigkeit

Künstliche Intelligenz in der Medizin

Angelika Zahn will den Nachwuchs fit machen für den Umgang mit künstlicher Intelligenz. Die Inhalte dürften Grundschulkinder dabei manchmal überfordern. Eine Rezension

Dieses Buch vermittelt jungen Lesern, dass künstliche Intelligenz keine Zukunftstechnologie ist, sondern ihnen im Alltag längst begegnet. Eine Rezension (Rezension zu Was ist Künstliche Intelligenz? von Angelika Zahn)#künstlicheIntelligenz #Kinder #KI #BigData #DeepLearning #Roboter #ChatGPT #Smartphone #AI #Chatbot #Datenschutz #maschinellesLernen #MINT #neuronaleNetze #Programmieren #Software #Sprachassistenz #Turing #ITTech #Kultur #PsychologieHirnforschung
»Was ist Künstliche Intelligenz?«: KI ist immer und überall

»Was ist Künstliche Intelligenz?«: KI ist immer und überall

Dieses Buch vermittelt jungen Lesern, dass künstliche Intelligenz keine Zukunftstechnologie ist, sondern ihnen im Alltag längst begegnet. Eine Rezension (Rezension zu Was ist Künstliche Intelligenz? von Angelika Zahn)

Generating 3D Scenes From Just One Image

#art #machinelearning #3dscene #deeplearning #gaussiansplat #research #hackaday
posted by pod_feeder_v2

Generating 3D Scenes From Just One Image

The LucidDreamer project ties a variety of functions into a pipeline that can take a source image (or generate one from a text prompt) and “lift” its content into 3D, creating highly-de…

Explore Neural Radiance Fields in Real-time, Even on a Phone

#machinelearning #3d #6dof #deeplearning #nerf #neuralradiancefields #hackaday
posted by pod_feeder_v2

Explore Neural Radiance Fields In Real-time, Even On A Phone

Neural Radiance Fields (NeRF) is a method of reconstructing complex 3D scenes from sparse 2D inputs, and the field has been growing by leaps and bounds. Viewing a reconstructed scene is still nontr…

Here’s Why GPUs Are Deep Learning’s Best Friend

#artificialintelligence #ai #caranalogy #deeplearning #gpu #machinelearning #nvidia #hackaday
posted by pod_feeder_v2

Here’s Why GPUs Are Deep Learning’s Best Friend

If you have a curiosity about how fancy graphics cards actually work, and why they are so well-suited to AI-type applications, then take a few minutes to read [Tim Dettmers] explain why this is so.…

ON1 Unveils Resize AI, its Next-Generation Tech for Image Upscaling

#news #software #technology #artificialintelligence #deeplearning #editing #editingsoftware #on1 #on1resizeai #plugin #upscale

ON1 Unveils Resize AI, its Next-Generation Tech for Image Upscaling

An AI upscaler powered by deep learning.

Hi guys, I have been trying to design a home based IOT system that can connect everyone, here is the prototype website, and ppt which explains my idea : http://www.decensormedia.org/ppt .

#ai, #arm, #artifical-intelligence, #blockchain, #computer-vision, #computervision, #deeplearning, #eth, #fpg, #fpga, #fpgaboard, #fpgadevelopment, #nft, #non-fungibletoken, #opencv, #opengl, #robotic, #slam, #smart-contract #frontend #backend #fullstack

Hi guys, I am looking for remote job related to #FPGA #deeplearning #computervision #robotics #blockchain or #web development , #fullstack #backend #frontend , here is my CV : http://www.decensormedia.org/mycv , thank you .

#ai, #arm, #artifical-intelligence, #blockchain, #computer-vision, #computervision, #deeplearning, #eth, #fpg, #fpga, #fpgaboard, #fpgadevelopment, #nft, #non-fungibletoken, #opencv, #opengl, #robotic, #slam, #smart-contract #frontend #backend #fullstack

DeCensorMedia

social media revolution:replacing social media with personal website for privacy and anti-censorship,a decentralized home IOT ecosystem that connect people all over the world

Hey world, I’m #newhere. I’m interested in #ai, #arm, #artifical-intelligence, #blockchain, #computer-vision, #computervision, #deeplearning, #eth, #fpg, #fpga, #fpgaboard, #fpgadevelopment, #nft, #non-fungibletoken, #opencv, #opengl, #robotic, #slam, and #smart-contract.

Hey everyone, I’m #newhere. I’m interested in #ai, #artifiacialintelligence, #artificial-intelligence, #computer-vision, #computervision, #deep-learning, #deeplearning, #machine-learning, #machinelearning, #ml, #natural-language-processing, #naturallanguageprocessing, and #nlp.

Updated Introduction to Datascience book with Plots section. One can get it here https://datascience-book.gitlab.io/

#datascience #artificialintelliegence #machinelearning #ai #ml #deeplearning #plots #julialang #julia

How Computationally Complex Is a Single Neuron? #Neuroscience #ComputationalNeuroscience #DeepLearning #MachineLearning
https://www.quantamagazine.org/how-computationally-complex-is-a-single-neuron-20210902/

How Computationally Complex Is a Single Neuron? | Quanta Magazine

Computational neuroscientists taught an artificial neural network to imitate a biological neuron. The result offers a new way to think about the complexity of single brain cells.

#HackersCardgame .ch ...

... wishes #GoodMorning #CyberVietnam

.

Go home #Facebook #Upload #Filter you are drunk ...

.
... that's a #skin #tolerance test of @ALDI_SUISSE Body Lotion and not what you think ...

#UploadFilter #CCC #Linux #Hacking #Introspection #DeepLearning #Algorithm #Algorithms #Windows #Apple #OSX

Neuromorphic Computing: What Is It and Where Are We At?

#featured #interest #originalart #artificalintelligence #deeplearning #neurobiology #neuromorphic #neuroscience #hackaday
posted by pod_feeder_v2

Neuromorphic Computing: What Is It And Where Are We At?

For the last hundred or so years, collectively as humanity, we’ve been dreaming, thinking, writing, singing, and producing movies about a machine that could think, reason, and be intelligent …

Nvidia announces TensorRT 8, slashes BERT inference times down to a millisecond - Neowin https://www.neowin.net/news/nvidia-announces-tensorrt-8-slashes-bert-inference-times-down-to-a-millisecond/

#deepLearning #nlp #ai

Nvidia announces TensorRT 8, slashes BERT inference times down to a millisecond

Providing over twice the precision and inference speed compared to the last generation, Nvidia's new TensorRT 8 deep learning SDK clocked in a time of 1.2 ms in BERT-Large's inference.

So this is a thing now....

#deeplearning #AI #C #cpp #jupyter #machinelearning #ML