Towards AI

NOVEMBER 19, 2023

Last Updated on November 20, 2023 by Editorial Team Author(s): Mainak Mitra Originally published on Towards AI. Photo by Pietro Jeng on Unsplash Deep learning is a type of machine learning that utilizes layered neural networks to help computers learn from large amounts of data in an automated way, much like humans do.

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PyImageSearch

JANUARY 30, 2023

This last blog of the series will cover the benefits, applications, challenges, and tradeoffs of using deep learning in the education sector. To learn about Computer Vision and Deep Learning for Education, just keep reading. As soon as the system adapts to human wants, it automates the learning process accordingly.

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AI Weekly

SEPTEMBER 14, 2023

eweek.com Robots that learn as they fail could unlock a new era of AI Asked to explain his work, Lerrel Pinto, 31, likes to shoot back another question: When did you last see a cool robot in your home? Plus, they feed insights that have pulled in an extra $250k in ARR per rep. Start automating your sales today!] 2007, Rees et al.

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Heartbeat

AUGUST 1, 2023

A World of Computer Vision Outside of Deep Learning Photo by Museums Victoria on Unsplash IBM defines computer vision as “a field of artificial intelligence (AI) that enables computers and systems to derive meaningful information from digital images, videos and other visual inputs [1].”

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Heartbeat

NOVEMBER 21, 2023

Computer vision, the field dedicated to enabling machines to perceive and understand visual data, has witnessed a monumental shift in recent years with the advent of deep learning. Photo by charlesdeluvio on Unsplash Welcome to a journey through the advancements and applications of deep learning in computer vision.

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Unite.AI

NOVEMBER 6, 2023

Neural Network: Moving from Machine Learning to Deep Learning & Beyond Neural network (NN) models are far more complicated than traditional Machine Learning models. Advances in neural network techniques have formed the basis for transitioning from machine learning to deep learning.

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Mlearning.ai

JANUARY 3, 2024

word2vec dl4ee: deep learning for electrical engineers Why another article for word2vec? We will use the simplest concept of Linear Algebra, and Stochastic Process to explain it. However, the approximation can further reduce the computation complexity without losing its fidelity in the deep learning models later.

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Heartbeat

SEPTEMBER 13, 2023

Source: ResearchGate Explainability refers to the ability to understand and evaluate the decisions and reasoning underlying the predictions from AI models (Castillo, 2021). Explainability techniques aim to reveal the inner workings of AI systems by offering insights into their predictions. What is Explainability?

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The MLOps Blog

JUNE 27, 2023

As you delve into the landscape of MLOps in 2023, you will find a plethora of tools and platforms that have gained traction and are shaping the way models are developed, deployed, and monitored. This includes features for model explainability, fairness assessment, privacy preservation, and compliance tracking.

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PyImageSearch

JANUARY 2, 2023

This blog will cover the benefits, applications, challenges, and tradeoffs of using deep learning in healthcare. Computer Vision and Deep Learning for Healthcare Benefits Unlocking Data for Health Research The volume of healthcare-related data is increasing at an exponential rate.

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Towards AI

JULY 17, 2023

Last Updated on July 17, 2023 by Editorial Team Author(s): Luiz doleron Originally published on Towards AI. In machine learning, we usually model problems as functions. Using functions to represent tasks or problems is the streamlined way to implement machine learning systems. In this context, Cost Functions play a central role.

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PyImageSearch

FEBRUARY 20, 2023

Table of Contents Learning JAX in 2023: Part 1 — The Ultimate Guide to Accelerating Numerical Computation and Machine Learning ?? Jump Right To The Downloads Section Learning JAX in 2023: Part 1 — The Ultimate Guide to Accelerating Numerical Computation and Machine Learning ?? What Is JAX? autograd XLA ?

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Towards AI

SEPTEMBER 7, 2023

Last Updated on September 8, 2023 by Editorial Team Author(s): Louis Bouchard Originally published on Towards AI. An analogy to explain how deep learning works… This member-only story is on us. link] When we talk about artificial intelligence, or AI, we tend to mean deep learning.

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Flipboard

APRIL 17, 2023

Home Table of Contents Learning JAX in 2023: Part 3 — A Step-by-Step Guide to Training Your First Machine Learning Model with JAX Configuring Your Development Environment Having Problems Configuring Your Development Environment? ? Looking for the source code to this post? Or has to involve complex mathematics and equations?

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ODSC - Open Data Science

MARCH 27, 2023

In this session, you will learn how explainability can help you identify poor model performance or bias, as well as discuss the most commonly used algorithms, how they work, and how to get started using them. Why is it important? What techniques are there and how do they work?

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AI Weekly

MAY 4, 2023

yahoo.com Surgical robotics training facility inaugurated at AIIMS, Delhi The AIIMS Delhi has inaugurated a state-of-the-art surgical robotics training facility at the SET -- skill, e-learning and telemedicine facility -- of the institute. The truck will be incorporated into Kodiak's fleet in 2024. freepressjournal.in freepressjournal.in

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ODSC - Open Data Science

MAY 23, 2023

Fortunately, ODSC Europe 2023 this June 14th-15th — both in-person and virtually — will be offering several opportunities for you to learn more about the AI products and services available today, as well as best practices for how to implement machine learning solutions in your organization.

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IBM Journey to AI blog

JUNE 26, 2023

Possibilities are growing that include assisting in writing articles, essays or emails; accessing summarized research; generating and brainstorming ideas; dynamic search with personalized recommendations for retail and travel; and explaining complicated topics for education and training. by 2032 with a 27.02% CAGR between 2023 and 2032.

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Towards AI

JUNE 5, 2023

Last Updated on June 14, 2023 by Editorial Team Author(s): Courtlin Holt-Nguyen Originally published on Towards AI. In Part 1 (fine-tuning a BERT model), I explained what a transformer model is and the various open source models types that are available from Hugging Face’s free transformers library.

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Marktechpost

AUGUST 24, 2023

Here’s our curated list of the top AI and Machine Learning-related subreddits to follow in 2023 to keep you in the loop. r/MachineLearning The sub is focused on machine learning and has regular technical and intriguing posts and discussions. members and is a great place to learn more about the latest AI.

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Marktechpost

JULY 17, 2023

What Relationship Exists Between Predictive Analytics, Deep Learning, and Artificial Intelligence? For machine learning to identify common patterns, large datasets must be processed. Deep learning is a branch of machine learning frequently used with text, audio, visual, or photographic data.

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ODSC - Open Data Science

AUGUST 21, 2023

Introducing the Topic Tracks for ODSC West 2023 — Highlighting Gen AI and LLMs As we progress towards the end of the year, we’re turning our full attention to ODSC West coming to the heart of the AI boom (in-person) or your computer (virtual) from October 30th — November 2nd.

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ODSC - Open Data Science

JULY 14, 2023

Below you’ll find just a few of the many expert-led sessions at ODSC Europe 2023 that attendees loved — and you can view them for yourself here ! And don’t miss the chance to join us for our upcoming free virtual Generative AI Summit on July 20th and ODSC West 2023 in San Francisco (October 31st-November 3rd). What’s next?

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Towards AI

JULY 21, 2023

Last Updated on July 21, 2023 by Editorial Team Author(s): G SowmiyaNarayanan Originally published on Towards AI. People everywhere are working on some form of deep-learning-based computer vision projects. I could explain it with a lot of fancy words and technical jargon. What does warping an image mean?

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PyImageSearch

FEBRUARY 27, 2023

Table of Contents Learning JAX in 2023: Part 2 — JAX’s Power Tools grad , jit , vmap , and pmap ?? Summary Citation Information Learning JAX in 2023: Part 2 — JAX’s Power Tools grad , jit , vmap , and pmap In this tutorial, you will learn the power tools of JAX, grad , jit , vmap , and pmap.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

Code talks – In this new session type for re:Invent 2023, code talks are similar to our popular chalk talk format, but instead of focusing on an architecture solution with whiteboarding, the speakers lead an interactive discussion featuring live coding or code samples. AWS DeepRacer Get ready to race with AWS DeepRacer at re:Invent 2023!

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ODSC - Open Data Science

SEPTEMBER 27, 2023

Get ready for 300+ hours of hands-on training sessions, workshops, and talks on Generative AI, LLMs, MLOps, Machine Learning, Deep Learning, and more. Learn about foundational concepts such as directed acrylic graphs (DAGs), Jedeau Pearl’s “do” operator, and keeping domain expertise in the loop. Register here!

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Bugra Akyildiz

JULY 29, 2023

Within only two years large foundational models like CLIP , Stable Diffusion , and Flamingo have fundamentally transformed multimodal deep learning. As of 2023, multimodal deep learning is still heavily focusing on text-image modeling, while other modalities such as video (and audio) are only sparsely investigated.

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Towards AI

MAY 23, 2023

Last Updated on May 25, 2023 by Editorial Team Author(s): Ebrahim Pichka Originally published on Towards AI. Policy Gradient Method As explained above, Policy Gradient (PG) methods are algorithms that aim to learn the optimal policy function directly in a Markov Decision Processes setting (S, A, P, R, γ).

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How to Learn Machine Learning

JANUARY 21, 2023

Then check out our article on the best Artificial Intelligence trends in 2023! At its core, AI relies on algorithms, data processing, and machine learning to generate insights from vast amounts of data. Advances in machine learning and deep learning techniques are making AI systems increasingly accurate and efficient.

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Marktechpost

JUNE 27, 2023

Raw Shorts To assist organizations in making explainer films, animations, and promotional movies for the web and social media, Raw Shorts provides a text-to-video creator and a video editor driven by artificial intelligence. It employs machine learning techniques to read a screenplay and extract the plot points to locate appropriate media.

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Towards AI

AUGUST 9, 2023

Last Updated on August 10, 2023 by Editorial Team Author(s): Ali Moezzi Originally published on Towards AI. An introduction to the core ideas and approaches to move from unimodality to multimodal LLMs LLMs have shown promising results on both zero-shot and few-shot learning on many natural language tasks.

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Flipboard

JULY 10, 2023

Figure 3: Latent space visualization of the closet (source: Kumar, “Autoencoder vs Variational Autoencoder (VAE): Differences,” Data Analytics , 2023 ). Figure 5: Architecture of Convolutional Autoencoder for Image Segmentation (source: Bandyopadhyay, “Autoencoders in Deep Learning: Tutorial & Use Cases [2023],” V7Labs , 2023 ).

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Towards AI

DECEMBER 19, 2023

Last Updated on December 21, 2023 by Editorial Team Author(s): Indraneel Dutta Baruah Originally published on Towards AI. Source: interpretable-ml-book The field of deep learning has grown exponentially and the recent craze about ChatGPT is proof of the same. arXiv: 2003.07132 where n is the sample size.

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PyImageSearch

JANUARY 1, 2024

Home Table of Contents Introduction to Gemini Pro Vision Google AI Studio Creating a Prompt Using Google AI Studio Gemini Pro Vision API Summary Citation Information Introduction to Gemini Pro Vision In this tutorial, you will learn how to get started with Gemini Pro Vision. Can handle zero, one, and few-shot tasks. That’s not the case.

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ODSC - Open Data Science

JULY 18, 2024

billion in sales in 2023, a steady climb since the COVID-19 dip in 2020, according to Statista Market Insights. billion in 2023 to $8.1 The global beauty industry, including cosmetics, hit $625.6 Yang highlighted that product development time has shortened, and new products are launched faster than ever. billion in 2028.

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Marktechpost

JULY 16, 2023

The engine behind it is a massive deep-learning model that uses several different CNN variations in conventional CNN structures and as generators and discriminators. It uses cutting-edge generative deep neural networks with built-in privacy mechanisms to preserve valuable data.

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