Towards AI

JANUARY 27, 2023

Last Updated on January 27, 2023 by Editorial Team Author(s): Clément Delteil Originally published on Towards AI. Deep Learning Explained: Perceptron The key concept behind every neural network. As explained above, the bias is a scalar value that is added to the net input z before passing through the activation function.

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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!]

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Unite.AI

MARCH 11, 2024

This evolution has gained momentum in 2023, reflecting a paradigm shift on how AI can handle diverse scenarios not solely through scaling up models but through the strategic assembly of multi-component systems. This method aims to create AI systems that are both efficient and capable of providing explainable solutions.

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Towards AI

SEPTEMBER 7, 2023

Last Updated on September 8, 2023 by Editorial Team Author(s): Nieves Crasto Originally published on Towards AI. Photo by Devin Avery on Unsplash In this article, we will take a deep dive into the concept of attention in Transformer networks, particularly from the encoder’s perspective. Multi-headed attention in the Encoder.

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Mlearning.ai

MAY 11, 2023

ChatGPT everywhere 2022 to 2023 has undoubtedly emerged as an era of extraordinary technological advancements, particularly within the field of artificial intelligence (AI). What lies behind GPT is a type of artificial intelligence (AI) called a neural network. What the heck is neural network?

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AI News

JULY 24, 2023

Compound sparsity combines techniques such as unstructured pruning, quantisation, and distillation to significantly reduce the size of neural networks while maintaining their accuracy. “We This approach challenges the notion that GPUs are necessary for efficient deep learning,” explains Bogunowicz.

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PyImageSearch

DECEMBER 19, 2022

Table of Contents OAK-D: Understanding and Running Neural Network Inference with DepthAI API Introduction Configuring Your Development Environment Having Problems Configuring Your Development Environment? It combines depth perception with neural network inference through an easy-to-use Python API.

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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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Towards AI

JULY 22, 2023

Last Updated on July 24, 2023 by Editorial Team Author(s): Cristian Originally published on Towards AI. Our job is to explain complicated tech terms in a simple day-to-day language, so everyone can understand. Neural Networks: The Brainy Network Picture your brain. But don’t worry! That’s why we’re here.

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Google Research AI blog

JULY 23, 2023

Google is proud to be a Diamond Sponsor of the 40th International Conference on Machine Learning (ICML 2023), a premier annual conference, which is being held this week in Honolulu, Hawaii. Registered for ICML 2023? See Google DeepMind’s blog to learn about their technical participation at ICML 2023. demos and Q&A sessions).

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ODSC - Open Data Science

DECEMBER 5, 2023

On Thursday, Chelsea Finn, PhD, Assistant Professor at Stanford University discussed how sometimes neural networks can hallucinate and be quite incorrect, the repercussions, and how can we address these issues. While we may be done with events for 2023, 2024 is looking to be packed full of conferences, meetups, and virtual events.

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Marktechpost

JULY 21, 2023

The software can explain, translate, summarize, or rewrite Any piece of writing. The software can explain, translate, summarize, or rewrite Any piece of writing. To that end, SciSpace Copilot has been developed to comprehensively explain all the data in scientific articles, including tables, charts, and graphs. Originality.AI

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Marktechpost

JULY 5, 2024

Claude AI’s first model was released in March 2023, followed by subsequent versions that enhanced its capabilities and safety measures. Code Generation: Claude AI can generate code snippets, understand various programming languages, explain code functionality, and assist in debugging.

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Mlearning.ai

DECEMBER 31, 2023

Principles of Explainable AI( Source ) Imagine a world where artificial intelligence (AI) not only makes decisions but also explains them as clearly as a human expert. This isn’t a scene from a sci-fi movie; it’s the emerging reality of Explainable AI (XAI). What is Explainable AI? Complexity vs.

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Flipboard

JUNE 13, 2023

LOVO makes explainer videos, podcasts, social media content, and e-learning materials easy. Deep convolutional neural network-based image super-resolution is used. The post Unveiling the Future: 10 Cutting-Edge AI Tools You Simply Can’t Afford to Ignore (June 2023) appeared first on MarkTechPost.

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Unite.AI

NOVEMBER 8, 2024

Inspired by a discovery in WiFi sensing, Alex and his team of developers and former CERN physicists introduced AI algorithms for emotional analysis, leading to Wayvee Analytics's founding in May 2023. In May 2023, I came across an article that really piqued my interest – it was about Wi-Fi sensing for tracking human movement.

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AI Weekly

MAY 4, 2023

news-medical.net Uncovering expression signatures of synergistic drug responses via ensembles of explainable machine-learning models Machine learning may aid the choice of optimal combinations of anticancer drugs by explaining the molecular basis of their synergy. Learn more] sjv.io gadgets360.com freepressjournal.in

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Towards AI

JULY 26, 2023

Last Updated on July 29, 2023 by Editorial Team Author(s): Ebrahim Pichka Originally published on Towards AI. A detailed and illustrated walkthrough of the “Graph Attention Networks” paper by Veličković et al. In this post, we will walk through the crucial part of the original “Graph Attention Networks” paper by Veličković et al. [1],

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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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ODSC - Open Data Science

SEPTEMBER 27, 2023

You’ll discuss tensors, neural networks, GPUs and much more. Graphs: The Next Frontier of GenAI Explainability Amy Hodler | Founder, Consultant | GraphGeeks.org Michelle Yi | Board Member | Women In Data This talk will examine the implications of incorporating graphs into the realm of generative AI. Register here!

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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? ? In the context of a neural network, a PyTree can be used to represent the weights and biases of the network.

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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. For example, a deep neural net used for a loan application scorecard might deny a customer, and we will not be able to explain why. GAMINET is a neural network that consists of multiple additive subnetworks.

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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 ? What Is JAX (revisited)?

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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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NVIDIA

DECEMBER 4, 2023

Three technical reasons, and many stories, explain why that’s so. A 2023 report captured the steep rise in GPU performance and price/performance. An AI model, also called a neural network, is essentially a mathematical lasagna, made from layer upon layer of linear algebra equations. trillion to $4.4

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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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Unite.AI

SEPTEMBER 4, 2024

As CEO of Aarki since 2023, I'm at the forefront of the mobile advertising revolution. Deep Neural Network (DNN) Models: Our core infrastructure utilizes multi-stage DNN models to predict the value of each impression or user. Deep neural networks (DNNs) will leverage this to create superior privacy-first engagement strategies.

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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. Deep Convolutional Neural Networks (DCNN) trained on millions of photos power VanceAI’s A.I.

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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/neuralnetworks The Subreddit is about Deep Learning, Artificial Neural Networks, and Machine Learning. Reddit, the front page of the internet, serves as a hub for experts and enthusiasts alike.

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Flipboard

MARCH 27, 2023

Project Structure Accelerating Convolutional Neural Networks Parsing Command Line Arguments and Running a Model Evaluating Convolutional Neural Networks Accelerating Vision Transformers Evaluating Vision Transformers Accelerating BERT Evaluating BERT Miscellaneous Summary Citation Information What’s New in PyTorch 2.0?

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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. How Does JAX Handle Randomness?

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Towards AI

AUGUST 11, 2023

Last Updated on August 12, 2023 by Editorial Team Author(s): Data Science meets Cyber Security Originally published on Towards AI. IMAGE SOURCE: BY AUTHOR INTRODUCTION: GANs, Generative Adversarial networks, let’s first understand what GANs are. IMAGE SOURCE: [link] GANs are made up of two major neural networks: THE GENERATOR 2.

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Towards AI

OCTOBER 8, 2023

Last Updated on October 9, 2023 by Editorial Team Author(s): Abhishek Chaudhary Originally published on Towards AI. We’ll start from neural networks, brush up on deep learning, figure out what the heck is NLP, and eventually, after the not-so-painstaking process, learn about the working of large language models.

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IBM Journey to AI blog

AUGUST 13, 2024

Where it all started During the second half of the 20 th century, IBM researchers used popular games such as checkers and backgammon to train some of the earliest neural networks, developing technologies that would become the basis for 21 st -century AI.

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Towards AI

MARCH 4, 2023

Last Updated on March 4, 2023 by Editorial Team Author(s): Harshit Sharma Originally published on Towards AI. Fully-Supervised Learning (Non-Neural Network) — powered by — Feature Engineering Supervised learning required input-output examples to train the model. Let’s get started !!

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Towards AI

JULY 22, 2023

Last Updated on July 24, 2023 by Editorial Team Author(s): Data Science meets Cyber Security Originally published on Towards AI. So, don’t worry, this is where Explainable AI, also known as XAI, comes in. Now Algorithms know what they are doing and why! INTRODUCTION: Hello, technophiles and curious minds. SOURCE: [link] A.

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