NYU Center for Data Science

NOVEMBER 9, 2023

Yann LeCun is a renowned deep learning pioneer and one of the most important minds in AI, and over the past few years he has been developing a comprehensive theory of machine learning, centered around “energy-based models,” which he calls “the only way to formalize and understand all model types.”

Deep Learning 98

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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.

Computer Vision 106

Computer Vision Deep Learning Neural Network Artificial Intelligence 106

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].”

Computer Vision 52

Computer Vision Deep Learning Neural Network Algorithm 52

Towards AI

JULY 21, 2023

Paper’s introduction Photo by Cris Ovalle on Unsplash ECCV 2020 Best Paper Award Goes to Princeton Team.They developed a new end-to-end trainable model for optical flow.Their method beats state-of-the-art architectures’ accuracy across multiple datasets and is way more efficient.

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Mlearning.ai

AUGUST 11, 2023

Introduction GPUs as main accelerators for deep learning training tasks suffer from under-utilization. Authors of AntMan [1] propose a deep learning infrastructure, which is a co-design of cluster schedulers (e.g., with deep learning frameworks (e.g., with deep learning frameworks (e.g.,

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Heartbeat

MAY 23, 2023

As technology continues to improve exponentially, deep learning has emerged as a critical tool for enabling machines to make decisions and predictions based on large volumes of data. Edge computing may change how we think about deep learning. Standardizing model management can be tricky but there is a solution.

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Deep Learning Machine Learning AI AI 52

PyImageSearch

JANUARY 2, 2023

Figure 1: Global Funding in Health Tech Companies (source: Mrazek and O’Neill, 2020 ). This blog will cover the benefits, applications, challenges, and tradeoffs of using deep learning in healthcare. This series is about CV and DL for Industrial and Big Business Applications.

Computer Vision 52

Computer Vision Deep Learning Neural Network Machine Learning 52

Unite.AI

OCTOBER 26, 2023

An easy price comparison, is when anticipating that genomics would need deep learning to scale, I acquired Genes.ai in late 2020 for $16,025. At the time I intended to build a fresh approach at a search engine that would use deep reinforcement learning with human feedback. Compare that to Gene.ai

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Analytics Vidhya

JANUARY 6, 2020

Introduction What a time to be working in the deep learning space! 2019 was chock full of deep learning-powered developments and breakthroughs – it. The post A Comprehensive Learning Path for Deep Learning in 2020 appeared first on Analytics Vidhya.

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AI Impacts

OCTOBER 18, 2023

Here is a summary version of the spreadsheet in a table, for readers who prefer this format: Sources cited in this post Grace, Argument for AI x-risk from competent malign agents (2023) Hendrycks et al, An Overview of Catastrophic AI Risks (2023) Ngo, Chan and Mindermann, The Alignment Problem from a Deep Learning Perspective (2023) TJ, Key Phenomena (..)

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Viso.ai

OCTOBER 9, 2024

With the rapid development of Convolutional Neural Networks (CNNs) , deep learning became the new method of choice for emotion analysis tasks. Unsurprisingly, modern deep learning methods outperform traditional computer vision methods.

Convolutional Neural Networks 98

Convolutional Neural Networks Neural Network Computer Vision Emotion AI 98

AI Weekly

OCTOBER 26, 2023

cryptopolitan.com Applied use cases Alluxio rolls out new filesystem built for deep learning Alluxio Enterprise AI is aimed at data-intensive deep learning applications such as generative AI, computer vision, natural language processing, large language models and high-performance data analytics. voxeurop.eu

Neural Network 203

Neural Network Convolutional Neural Networks Robotics Deep Learning 203

Towards AI

JULY 19, 2023

Paper’s introduction Photo by Cris Ovalle on Unsplash ECCV 2020 Best Paper Award Goes to Princeton Team.They developed a new end-to-end trainable model for optical flow.Their method beats state-of-the-art architectures’ accuracy across multiple datasets and is way more efficient.

Computer Vision 40

Computer Vision AI AI Deep Learning 40

AI Weekly

NOVEMBER 23, 2023

forbes.com Applied use cases From Data To Diagnosis: A Deep Learning Approach To Glaucoma Detection When the algorithm is implemented in clinical practice, clinicians collect data such as optic disc photographs, visual fields, and intraocular pressure readings from patients and preprocess the data before applying the algorithm to diagnose glaucoma.

Convolutional Neural Networks 189

Convolutional Neural Networks OpenAI Neural Network Robotics 189

Analytics Vidhya

JULY 23, 2020

Note: This article was originally published on May 29, 2017, and updated on July 24, 2020 Overview Neural Networks is one of the most. The post Understanding and coding Neural Networks From Scratch in Python and R appeared first on Analytics Vidhya.

Neural Network 399

Neural Network Python Algorithm Deep Learning 399

PyImageSearch

OCTOBER 14, 2024

This is an idea many Computer Vision Engineers totally miss — because they’re so focused on image processing, Deep Learning, and OpenCV that they forget to take the time to understand cameras, geometry, calibration, and everything that really draws the line between a beginner Computer Vision Engineer, and an Intermediate one.

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AI News

AUGUST 4, 2023

Gensler’s interest in AI dates back to 1997 when he became intrigued by the technology after witnessing Russian chess grandmaster Garry Kasparov’s infamous loss to IBM’s supercomputer, Deep Blue.

Big Data 176

Big Data Automation AI AI 176

NYU Center for Data Science

SEPTEMBER 11, 2024

What sets Dr. Ho apart is her pioneering work in applying deep learning techniques to astrophysics. She led the first effort to accelerate astrophysical simulations with deep learning. At CDS, Dr. Ho will continue her groundbreaking work in applying AI to cosmology and astrophysics.

Convolutional Neural Networks 54

Convolutional Neural Networks Neural Network Deep Learning Data Science 54

AI Weekly

JANUARY 25, 2024

ndtv.com Top 10 AI Programming Languages You Need to Know in 2024 It excels in predictive models, neural networks, deep learning, image recognition, face detection, chatbots, document analysis, reinforcement, building machine learning algorithms, and algorithm research. decrypt.co decrypt.co

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Unite.AI

OCTOBER 7, 2023

billion in 2020. Overview of the Internet of Everything Framework The IoE industry is expanding rapidly. According to CMSWire, the IoE market is expected to reach $4,205.50 billion by 2030, compared to $928.11 When this technology is fully developed, it will affect numerous fields, like healthcare, manufacturing, agriculture, and mining.

AI 349

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Towards AI

APRIL 6, 2023

Coined after the viral phrase, ‘you only live once’ (YOLO), the machine learning (ML) world first coined this acronym and repurposed it to You Only Look Once — YOLO. YOLOv1 was devised as a deep learning architecture optimized for fast object detection.

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Deep Learning Machine Learning ML AI 68

AI News

JULY 3, 2024

AI technologies , especially those that involve deep learning and large language models, are notoriously energy-intensive. announced that its carbon emissions have increased by 30% since 2020 as the business increased its investment in AI. However, the latest figures cast a shadow over these aspirations. In May, Microsoft Corp.

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The Stanford AI Lab Blog

FEBRUARY 24, 2022

2020 , Sohn et al., In this first post, we’ll analyze self-training , which is a very impactful algorithmic paradigm for semi-supervised learning and domain adaptation. 2020 , Chen et al. 2020 ), or domain adaptation settings where the domain shift is assumed to be very small ( Kumar et al. Chen et al., 2017 , Shu et al.,

Deep Learning 40

Deep Learning Algorithm Explainability 40

IBM Journey to AI blog

JULY 11, 2023

Census Bureau , 28 million Americans didn’t have health insurance in 2020, and even those with insurance don’t always have coverage for every type of screening they need. US, German and French researchers used deep learning on more than 100,000 images to identify skin cancer. AI can also improve accessibility.

Deep Learning 188

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Analytics Vidhya

JANUARY 5, 2020

Introducing the Learning Path to become a Data Scientist in 2020! Learning paths are easily one of the most popular and in-demand resources we. The post Your Ultimate Learning Path to Become a Data Scientist and Machine Learning Expert in 2020 appeared first on Analytics Vidhya.

Data Scientist 379

Data Scientist Machine Learning Deep Learning Data Science 379

Marktechpost

SEPTEMBER 4, 2023

The standard development queries and queries from the TREC 2019 and TREC 2020 Deep Learning Tracks were used for evaluation. The experiments focused on the MS MARCO passage ranking test collection, built on a corpus comprising approximately 8.8 million passages extracted from the web.

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AI Researcher AI Research OpenAI Neural Network 131

Dlabs.ai

MARCH 17, 2021

And her research expertise spans AI, machine learning , deep learning , computer vision , and cognitive neuroscience. To find out more about deep learning, check this Dlabs.AI He’s a Principal Scientist at Google DeepMind and Team Lead of the Deep Learning group.

Artificial Intelligence 92

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Allen AI

JUNE 20, 2023

While at AI2, Farhadi co-founded Xnor.ai, the first on-device Deep Learning startup that was acquired by Apple in 2020. Named one of Forbes Top 5 AI Entrepreneurs, Farhadi joins AI2 from Apple, where he led the company’s next generation Machine Learning efforts. “As

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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. The global beauty industry, including cosmetics, hit $625.6 AmorePacific’s AI system can recommend the best choices for customers from 205 different skin foundations and 366 different lip product colors. “

Deep Learning 52

Deep Learning Data Science AI AI 52

Towards AI

JULY 20, 2023

medium.com Talking about PyTorch… Basic Tutorials An awesome introduction to PyTorch showing an end-to-end ML pipeline from loading your data all the way to saving a trained model, includes a Colab notebook: Learn the Basics – PyTorch Tutorials 1.8.0 LineFlow was designed to use in all deep learning… github.com Repo Cypher ?‍?

NLP 65

NLP Deep Learning Data Analysis Natural Language Processing 65

IBM Journey to AI blog

JULY 15, 2024

displayed that deep learning scaling is predictable empirically too. Then in 2020, Kaplan et al. Kolachina and his colleagues showed that as models got larger, they generally got more accurate and performed better. In 2017, Hestness et al. showed that data scaling laws held true for language models as well.

Large Language Models 134

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Marktechpost

JUNE 29, 2024

In 2020, AlphaFold successfully predicted the structures for almost the entire human genome, providing a crucial tool for understanding protein functions and their implications in diseases. Significant unmet medical needs persist despite advancements like the PD-L1 inhibitor atezolizumab combined with bevacizumab.

AI 120

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Heartbeat

FEBRUARY 27, 2023

Photo by Markus Spiske on Unsplash Deep learning has grown in importance as a focus of artificial intelligence research and development in recent years. Deep Reinforcement Learning (DRL) and Generative Adversarial Networks (GANs) are two promising deep learning trends. Goodfellow, I., Pouget-Abadie, J.,

Machine Learning 52

Machine Learning Deep Learning Robotics Neural Network 52

Analytics Vidhya

JANUARY 8, 2020

Introduction There are an overwhelming number of resources out there these days to learn computer vision concepts. The post Here’s your Learning Path to Master Computer Vision in 2020 appeared first on Analytics Vidhya. How do you pick and choose from.

Computer Vision 223

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Marktechpost

MAY 31, 2024

Current methods for sleep data analysis primarily rely on supervised deep-learning models. This model leverages a vast dataset of multi-modal sleep recordings from over 14,000 participants, totaling more than 100,000 hours of sleep data collected between 1999 and 2020 at the Stanford Sleep Clinic.

Convolutional Neural Networks 106

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Towards AI

AUGUST 25, 2023

Machine learning (ML) is a subset of AI that provides computer systems the ability to automatically learn and improve from experience without being explicitly programmed. Deep learning (DL) is a subset of machine learning that uses neural networks which have a structure similar to the human neural system.

Software Engineer 81

Software Engineer Machine Learning Neural Network Artificial Intelligence 81

Viso.ai

JUNE 12, 2024

Our software helps several leading organizations start with computer vision and implement deep learning models efficiently with minimal overhead for various downstream tasks. GPT models are based on transformer-based deep learning neural network architecture. About us : Viso.ai Get a demo here.

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