Human consciousness is a ‘controlled hallucination,’ scientist says— and AI can never achieve it https://www.popularmechanics.com/science/a64555175/conscious-ai-singularity

Human consciousness is a ‘controlled hallucination,’ scientist says— and AI can never achieve it https://www.popularmechanics.com/science/a64555175/conscious-ai-singularity
Hyperparameter Tuning: Best Practices
[..]Effective hyperparameter tuning involves systematic exploration and optimization to find configurations that yield the best results for a given dataset and task[..]
How do #NeuralNetworks generate diverse and variable outputs? This study of the larval #fruitfly locomotor system shows that relatively simple sets of #inhibitory circuit motifs can generate a surprising degree of diversity & variability in motor programs @PLOSBiology https://plos.io/3GpT3pR
The Hundred-Page Language Models Book by Andriy Burkov is on sale on Leanpub! Its suggested price is $50.00; get it for $20.00 with this coupon: https://leanpub.com/sh/25ZZra7G #Ai #Gpt #NeuralNetworks #DeepLearning #DataScience #ComputerScience #Linguistics
OpenAI Triton
OpenAI Triton is a specialized programming language and compiler designed to simplify the development of highly efficient GPU programs. Triton enables machine learning researchers and engineers to write custom GPU kernels using Python-like syntax while achieving performance comparable to highly optimized CUDA implementations.
The Hundred-Page Language Models Book: hands-on with PyTorch https://leanpub.com/theLMbook by Andriy Burkov is the featured book on the Leanpub homepage! https://leanpub.com #Ai #Gpt #NeuralNetworks #DeepLearning #DataScience #ComputerScience #Linguistics #books #ebooks
Master language models through mathematics, illustrations, and code―and build your own from scratch!
Find it on Leanpub!
Unlocking Neural Networks: A Deep Dive into Machine Learning Architectures
Explore the intricacies of machine learning through neural networks in this comprehensive analysis of recent lecture notes by B. Mehlig. From Hopfield networks to convolutional neural networks, discov...
Stumbled across an article describing the ‘ADALINE’ #perceptron emulator, an analogue circuit, made entirely by a resistor and potentiometer network.
Being from the early 60’s, there’s not much information to be found these days on the device, but I managed to build it pretty much the way it was - at least I think so
It’s quite fun to train and test with different patterns - units like these are the vintage foundation of modern neural networks, AI and language models.
Top 5 Time Series Forecasting Models
[..]Accurate predictions allow businesses and researchers to make informed decisions, mitigate risks, and identify future trends[..]
The Role of Neural Networks in the Metaverse
[..]At the heart of enabling the metaverse's functionality, responsiveness, and scalability are neural networks—complex models inspired by the human brain[..]
Machine Learning projects here:
Image Classification with a Neural Network
[..]Throughout this project, we will guide you through the entire process of building, training, and evaluating a neural network for image classification. You will gain hands-on experience[..]
https://www.europesays.com/uk/35017/ Growth Opportunities in Neuromorphic Computing 2025-2030 | #ComputerVision #Computing #DeepLearning #ImageAnalysis #NeuralNetworks #Neuromorphic #NeuromorphicChip #NeuromorphicComputing #ResearchAndMarkets #Technology #UK #UnitedKingdom
Traffic Management
This project demonstrates a complete workflow for building and evaluating a machine learning model (Random Forest Classifier) to predict traffic congestion in...
#ITByte: #Liquid #NeuralNetworks (#LNNs) are a type of deep learning architecture that use dynamic connections between neurons to process time-series data.
“Liquid” neural nets, based on a worm’s nervous system, can transform their underlying algorithms on the fly, giving them unprecedented speed and adaptability.
https://knowledgezone.co.in/trends/explorer?topic=Liquid-Neural-Network
Policy Gradient Methods
[..]Policy gradient methods are a class of reinforcement learning algorithms designed to optimize policies directly by maximizing expected cumulative rewards[..]
Keras Overview
[..]Keras is an open-source deep learning library written in Python. Known for its simplicity and user-friendly design, Keras abstracts the complexities of building neural networks, enabling users to focus on experimentation and results[..]
The Hundred-Page Language Models Book by Andriy Burkov is on sale on Leanpub! Its suggested price is $50.00; get it for $20.00 with this coupon: https://leanpub.com/sh/tBPSPEAW #Ai #Gpt #NeuralNetworks #DeepLearning #DataScience #ComputerScience #Linguistics
Super Study Guide: Transformers & Large Language Models https://leanpub.com/transformers-large-language-models by Afshine Amidi and Shervine Amidi is the featured book on the Leanpub homepage! https://leanpub.com #Ai #MachineLearning #DeepLearning #NeuralNetworks #books #ebooks
A clear, illustrated guide to large language models, covering key concepts and practical applications. Ideal for projects, interviews, or personal learning.
Find it on Leanpub!
The Multi-Armed Bandit Problem
[...]Drawing inspiration from the world of gambling, the MAB problem poses a fascinating dilemma for algorithms seeking to maximize rewards while facing an array of uncertain choices.[...]