Unite.AI

AUGUST 3, 2023

The study of psychology sparked my fascination with the human mind and intelligence, particularly the process of skills learning and expertise development. Meanwhile, statistics provided the mathematical foundation to explore artificial neural networks , inspired by our biological brain. It’s a thrilling journey.

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Unite.AI

DECEMBER 19, 2023

DL is built on a neural network and uses its “brain” to continuously train itself on raw data. During the training phase, we add “noise,” which changes the raw data from the files we feed into our algorithm, in order to automatically generate slight “mutations,” which are fed in each training cycle during our training phase.

Neural Network 147

Neural Network Deep Learning ML Metadata 147

Unite.AI

AUGUST 28, 2023

Traditional Computing Systems : From basic computing algorithms, the journey began. Neural Networks & Deep Learning : Neural networks marked a turning point, mimicking human brain functions and evolving through experience. These systems could solve pre-defined tasks using a fixed set of rules.

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Viso.ai

JANUARY 16, 2024

Artificial Neural Networks (ANNs) are the cornerstone of modern artificial intelligence (AI). This enables ANNs to learn and make intelligent decisions based on input data. This diagram showcases how various layers interact in a neural network – source. The algorithm creator? The prompt writer?

Neural Network 52

Neural Network Computer Vision Categorization Algorithm 52

Pickl AI

MARCH 20, 2024

Machine Learning algorithms A deep understanding of machine learning algorithms is indispensable for Data Scientists seeking to build predictive models and uncover patterns in data. Leveraging libraries such as Scikit-learn and TensorFlow, Data Scientists can implement machine learning algorithms with ease and precision.

Data Science 52

Data Science Data Scientist Machine Learning Neural Network 52

Pickl AI

JULY 31, 2023

Examples of Eager Learning Algorithms: Logistic Regression : A classic Eager Learning algorithm used for binary classification tasks. It learns the relationship between features and class labels during training and then predicts the probability of an instance belonging to a specific class.

Machine Learning 52

Machine Learning Algorithm Neural Network Data Mining 52

Bugra Akyildiz

MAY 4, 2024

Understanding Hidden Representations The hidden representations of a language model refer to the intermediate outputs produced by the model's neural network layers as it processes input text. This would involve developing new unlearning algorithms that can effectively operate on these more complex data representations.

Neural Network 52

Neural Network Algorithm ML Natural Language Processing 52

Heartbeat

NOVEMBER 27, 2023

Deep learning automates and improves medical picture analysis. Convolutional neural networks (CNNs) can learn complicated patterns and features from enormous datasets, emulating the human visual system. Convolutional Neural Networks (CNNs) Deep learning in medical image analysis relies on CNNs.

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Deep Learning Convolutional Neural Networks Explainability Neural Network 59

Pickl AI

AUGUST 21, 2023

The Data Science Roadmap: Navigating Your Path to Success Step 1: Learning About Programming or Software Engineering A strong foundation in programming languages like Python , R, or Java is essential. Understanding supervised and unsupervised learning techniques equip you to develop predictive models and uncover hidden patterns.

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Data Scientist Data Science Software Engineer Machine Learning 52

Heartbeat

JANUARY 3, 2024

Enter machine learning (ML) , the technological powerhouse that has revolutionized industries from healthcare to finance, with its unparalleled ability to analyze vast datasets, identify patterns, and make predictions. Can algorithms, neural networks, and data analytics offer tangible solutions to mitigate the climate crisis?

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Machine Learning ML Algorithm ESG 52

Flipboard

FEBRUARY 6, 2023

In high school, he and his friends wired up the school’s computers for machine learning algorithm training, an experience that planted the seeds for Steinberger’s computer science degree and his job at Meta as an AI researcher.

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Software Engineer Neural Network Large Language Models Generative AI 123

Pickl AI

JULY 18, 2023

They possess a deep understanding of AI technologies, algorithms, and frameworks and have the ability to translate business requirements into robust AI systems. AI Engineers focus primarily on implementing and deploying AI models and algorithms, working closely with data scientists and machine learning experts.

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AI Architect AI Engineer Machine Learning Artificial Intelligence 52

Heartbeat

SEPTEMBER 25, 2023

Photo by National Cancer Institute on Unsplash Machine learning has recently been a game-changer in healthcare and medical diagnosis. Machine learning algorithms have transformed how healthcare professionals approach diagnosis, treatment planning, and patient care with the ability to analyze large amounts of data and recognize patterns.

Machine Learning 52

Machine Learning Algorithm Data Scientist Automation 52

PyImageSearch

DECEMBER 11, 2023

ML Study Jams: These were intensive 4-week learning opportunities, using Kaggle Courses to deepen the understanding of ML among participants. ML Paper Reading and Writing Clubs: To foster a culture of continuous learning and research, these clubs were introduced in various ML communities.

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Snorkel AI

JUNE 27, 2023

So I’ll cover three topics: first, online predictions, and then continual learning, and then real-time monitoring, which is extremely important to enable continual learning. Okay, so we talked about predictions, now we’ll talk about continual learning. So the first stage is just manual, ad hoc retraining.

Continuous Learning 52

Continuous Learning AI AI Machine Learning 52

Snorkel AI

JUNE 27, 2023

So I’ll cover three topics: first, online predictions, and then continual learning, and then real-time monitoring, which is extremely important to enable continual learning. Okay, so we talked about predictions, now we’ll talk about continual learning. So the first stage is just manual, ad hoc retraining.

Continuous Learning 52

Continuous Learning AI AI Machine Learning 52

Pickl AI

AUGUST 2, 2023

This humongous dataset was used to form a deep learning neural network […] modeled after the human brain—which allowed ChatGPT to learn patterns and relationships in the text data […] predicting what text should come next in any given sentence. How ChatGPT Works? How to Use ChatGPT for Free?

ChatGPT 52

ChatGPT Neural Network Prompt Engineer Prompt Engineering 52

Sebastian Ruder

FEBRUARY 23, 2023

(b) Polytropon uses low-rank adapters with hard learned routing for few-shot task adaptation. (c) Computation Function We consider a neural network $f_theta$ as a composition of functions $f_{theta_1} odot f_{theta_2} odot ldots odot f_{theta_l}$, each with their own set of parameters $theta_i$. Soft learned routing.  Soft

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Deep Learning NLP Computer Vision Metadata 52

IBM Journey to AI blog

JANUARY 10, 2024

AI operates on three fundamental components: data, algorithms and computing power. Data: AI systems learn and make decisions based on data, and they require large quantities of data to train effectively, especially in the case of machine learning (ML) models. What is artificial intelligence and how does it work?

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Artificial Intelligence Artificial Intelligence Neural Network Algorithm 208

Unite.AI

JUNE 13, 2023

A lot of the assumptions that you make that these algorithms are based on, when they go to the real world, they don't hold, and then you have to figure out how to deal with that. One thing that I'm particularly excited about is this notion of continual learning. ” We figured out what was going on.

Machine Learning 246

Machine Learning AI AI Algorithm 246

Google Research AI blog

JUNE 23, 2023

An important algorithmic piece of cache management is the decision policy used for dynamically updating the set of items being stored, which has been extensively optimized over several decades, resulting in several efficient and robust heuristics. This process is based on efficient random sampling that approximates exact priority queues.

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Automation Neural Network Software Engineer Metadata 79

Google Research AI blog

NOVEMBER 16, 2022

Posted by Yanqi Zhou, Research Scientist, Google Research, Brain Team The capacity of a neural network to absorb information is limited by the number of its parameters, and as a consequence, finding more effective ways to increase model parameters has become a trend in deep learning research. Expert Gate ). Token Choice Routing.

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Algorithm Neural Network Natural Language Processing Computer Vision 78

Flipboard

APRIL 17, 2023

We will put everything we learned so far into gradually building a multilayer perceptron (MLP) with PyTrees. We hope this post will be a valuable resource as you continue learning and exploring the world of JAX. In the context of a neural network, a PyTree can be used to represent the weights and biases of the network.

Machine Learning 107

Machine Learning Computer Vision Neural Network Deep Learning 107

Viso.ai

JANUARY 2, 2024

At their heart, LLMs use a type of neural network called Transformers. These networks are particularly good at handling sequential data like text. The functionality can allow businesses to use the model to flag harmful content automatically without employing human moderators to monitor large text volumes continuously.

Large Language Models 52

Large Language Models Deep Learning Computer Vision LLM 52

Unite.AI

JULY 31, 2023

The ultimate goal of the SEER model is to help in developing strategies for the pre-training process that use uncurated data to deliver top-notch state of the art performance in transfer learning. The Sinkhorn regularization parameter is set to 0.05, and it performs 10 iterations of the algorithm.

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Computer Vision Metadata Natural Language Processing ML 246

Viso.ai

DECEMBER 21, 2023

From the development of sophisticated object detection algorithms to the rise of convolutional neural networks (CNNs) for image classification to innovations in facial recognition technology, applications of computer vision are transforming entire industries. Thus, positioning him as one of the top AI influencers in the world.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Computer Vision Deep Learning 52

Viso.ai

MARCH 8, 2024

This technology leverages machine learning algorithms to understand and replicate artistic styles, generate novel images, or even collaborate with human artists. To learn more, book a demo with our team. And, Generative Adversarial Networks (GANs) , which opened new doors for generating high-quality, realistic images.

Neural Network 52

Neural Network Natural Language Processing Convolutional Neural Networks Deep Learning 52