AssemblyAI

SEPTEMBER 12, 2023

Though once the industry standard, accuracy of these classical models had plateaued in recent years, opening the door for new approaches powered by advanced Deep Learning technology that’s also been behind the progress in other fields such as self-driving cars. The data does not need to be force-aligned.

Deep Learning 130

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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 96

Software Engineer Machine Learning Neural Network Artificial Intelligence 96

Lexalytics

JULY 12, 2023

We’ve pioneered a number of industry firsts, including the first commercial sentiment analysis engine, the first Twitter/microblog-specific text analytics in 2010, the first semantic understanding based on Wikipedia in 2011, and the first unsupervised machine learning model for syntax analysis in 2014.

NLP 98

NLP Natural Language Processing Text Analytics BERT 98

Flipboard

JUNE 20, 2023

Deep learning Deep learning is a specific type of machine learning used in the most powerful AI systems. It imitates how the human brain works using artificial neural networks (explained below), allowing the AI to learn highly complex patterns in data.

Neural Network 140

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Towards AI

AUGUST 11, 2023

GANs are a part of the deep-learning world and were very introduced by Ian Goodfellow and his collaborators in 2014, After that GANs have rapidly captivated many researchers’ eyes which resulted in much research and also helped to redefine the boundaries of creativity and artificial intelligence in the world of AI 1.1

Neural Network 91

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Towards AI

AUGUST 11, 2023

The Trademark of GPT-5 In a 2014 BBC interview, Stephen Hawking said the following words – The development of full artificial intelligence could spell the end of the human race. The state of AI in 2014 was different from today. In that year, Google bought DeepMind — a machine learning startup — for over $600 Million.

OpenAI 83

OpenAI ChatGPT Machine Learning Deep Learning 83

Snorkel AI

JANUARY 10, 2023

And, in 2014, deep learning came into play addressing some of these challenges, and it revolutionized the way ASR is done. Firstly, the quality is enough that companies were able to deploy deep-learning ASR in production. Then, this is deep-learning-based text-to-speech.

Deep Learning 52

Deep Learning AI AI Algorithm 52

Mlearning.ai

APRIL 8, 2023

Deep Learning (Late 2000s — early 2010s) With the evolution of needing to solve more complex and non-linear tasks, The human understanding of how to model for machine learning evolved. 2014) Significant people : Geoffrey Hinton Yoshua Bengio Ilya Sutskever 5.

NLP 98

NLP Neural Network Natural Language Processing Convolutional Neural Networks 98

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.

Machine Learning 52

Machine Learning Deep Learning Robotics Neural Network 52

Flipboard

AUGUST 25, 2023

Zhavoronkov has a narrower definition of AI drug discovery, saying it refers specifically to the application of deep learning and generative learning in the drug discovery space. The “deep learning revolution” — a time when development and use of the technology exploded — took off around 2014, Zhavoronkov said.

Machine Learning 123

Machine Learning AI AI Deep Learning 123

ODSC - Open Data Science

APRIL 28, 2023

In this post, I’ll be demonstrating two deep learning approaches to sentiment analysis. Deep learning refers to the use of neural network architectures, characterized by their multi-layer design (i.e. deep” architecture). His major focus has been on Natural Language Processing (NLP) technology and applications.

Deep Learning 98

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NVIDIA

SEPTEMBER 6, 2023

Pioneering AI in Physics In 2014, her life’s work took her more than 7,000 miles from her Shanghai home to Princeton University’s prestigious plasma physics lab, where she earned a Ph.D. “She said clean energy was really important for sustaining humanity, she talked about it a lot,” said Ge Dong (above at age two with her mom).

Explainability 80

Explainability AI AI Deep Learning 80

Heartbeat

OCTOBER 13, 2023

Machine learning techniques are commonly used, such as ARIMA (AutoRegressive Integrated Moving Average), exponential smoothing, and deep learning models. Modeling Techniques: Time series data can be analyzed and modeled using various techniques, including statistical models, machine learning models, and deep learning models.

Machine Learning 52

Machine Learning Data Scientist Deep Learning Python 52

Dlabs.ai

AUGUST 20, 2020

If you’re looking for the best free eBooks related to artificial intelligence, machine learning, or deep learning – this list is for you. Dive into Deep Learning Authors: Aston Zhang, Zack C. Smola The first eBook on our must-read list is a deep-dive into deep learning.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Neural Network Deep Learning 52

NVIDIA

NOVEMBER 3, 2023

Machine learning can be trained to recognize DDoS attack patterns to prevent the type of incoming malicious traffic that brought down U.S. In 2014, the Port of LA established a cybersecurity operations center and hired a dedicated cybersecurity team. airport websites last year.

AI 122

AI AI Machine Learning Automation 122

NVIDIA

AUGUST 8, 2023

From Concept to Company In 2014, he shared his story with May Habib, an entrepreneur he met while working in Dubai. They agreed to create a startup that could help marketing departments — which are always pressured to do more with less — use machine learning to quickly create copy for their web pages, blogs, ads and more.

Generative AI 92

Generative AI Neural Network Machine Learning AI 92

Heartbeat

AUGUST 21, 2023

AlexNet significantly improved performance over previous approaches and helped popularize deep learning and CNNs. GoogLeNet: is a highly optimized CNN architecture developed by researchers at Google in 2014. VGG-16: does the Visual Geometry Group develop an intense CNN architecture at the University of Oxford?

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Natural Language Processing Computer Vision 52

Viso.ai

DECEMBER 3, 2023

How pose estimation works: Deep learning methods Use Cases and pose estimation applications How to get started with AI motion analysis Real-time full body pose estimation in construction – built with Viso Suite About us: Viso.ai Definition: What is pose estimation? Variations: Head pose estimation, animal pose estimation, etc.

Deep Learning 98

Deep Learning Computer Vision Neural Network Robotics 98

Allen AI

JUNE 1, 2023

In 2014, in the early stages of the current AI boom, I was selected to participate in a winter school co-organized by my university and CMU that exposed me to deep learning frameworks. This provided me with the necessary spark to pursue a PhD in ML/AI at Georgia Tech.

ChatGPT 52

ChatGPT Large Language Models Algorithm Deep Learning 52

ML Review

MARCH 31, 2019

In 2014, a group of researchers at Google and NYU found that it was far too easy to fool ConvNets with an imperceivable, but carefully constructed nudge in the input. Up to this point, machine learning algorithms simply didn’t work well enough for anyone to be surprised when it failed to do the right thing. Kurakin et al, ICLR 2017.

Neural Network 52

Neural Network Machine Learning Deep Learning Explainability 52

TheSequence

JULY 12, 2023

After my post-doc I went to work for a string of small European startups before moving to the US in 2014 and joining Instacart where I led engineering teams dealing with payments and orders, and dabbled in MLOps. I can see how every Fortune 500 company in 5 years will do some amount of deep learning (e.g.

ML 97

ML Python Machine Learning Metadata 97

PyImageSearch

DECEMBER 4, 2023

Built in 2014 along the Ankhor Canal, it’s fondly known as the “Snow Mosque” due to its pristine white marble construction. The courtyard of the Barak Khan Madrasa is open to visitors, offering a serene and introspective experience. Minor Mosque The Minor Mosque is a relatively new yet magnificent addition to Tashkent’s skyline.

ML 60

ML Machine Learning Computer Vision Python 60

NVIDIA

NOVEMBER 3, 2023

Machine learning can be trained to recognize DDoS attack patterns to prevent the type of incoming malicious traffic that brought down U.S. In 2014, the Port of LA established a cybersecurity operations center and hired a dedicated cybersecurity team. airport websites last year.

AI 62

AI AI Machine Learning Automation 62

Heartbeat

OCTOBER 9, 2023

Artificial Intelligence (AI) Integration: AI techniques, including machine learning and deep learning, will be combined with computer vision to improve the protection and understanding of cultural assets. International Journal of Heritage in the Digital Era , 1 (1_suppl), 1–6. We pay our contributors, and we don't sell ads.

Computer Vision 52

Computer Vision Algorithm Deep Learning Machine Learning 52

Dlabs.ai

NOVEMBER 16, 2020

Suguard is an internal project we’ve been developing since 2014, which is when we founded DiabetesLab : our second company focused on creating advanced software that helps people manage an illness using AI. Suguard is both my idea and my dream.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Convolutional Neural Networks Neural Network 52

John Snow Labs

MAY 23, 2023

Visual question answering (VQA), an area that intersects the fields of Deep Learning, Natural Language Processing (NLP) and Computer Vision (CV) is garnering a lot of interest in research circles. For visual question answering in Deep Learning using NLP, public datasets play a crucial role. Is aqua the maximum?

Natural Language Processing 40

Natural Language Processing Deep Learning NLP Convolutional Neural Networks 40

AWS Machine Learning Blog

NOVEMBER 15, 2023

As an example downstream application, the fine-tuned model can be used in pre-labeling workflows such as the one described in Auto-labeling module for deep learning-based Advanced Driver Assistance Systems on AWS. His core interests include deep learning and serverless technologies.

Prompt Engineer 90

Prompt Engineer Prompt Engineering Computer Vision Machine Learning 90

ODSC - Open Data Science

JANUARY 29, 2024

GANs, introduced in 2014 paved the way for GenAI with models like Pix2pix and DiscoGAN. Open Source ML/DL Platforms: Pytorch, Tensorflow, and scikit-learn Hiring managers continue to favor the most popular open-source machine/deep learning platforms including Pytorch, Tensorflow, and scikit-learn.

Prompt Engineer 52

Prompt Engineer Prompt Engineering LLM Data Science 52

AWS Machine Learning Blog

NOVEMBER 16, 2023

Since 2014, the company has been offering customers its Philips HealthSuite Platform, which orchestrates dozens of AWS services that healthcare and life sciences companies use to improve patient care. Improve the quality and time to market for deep learning models in diagnostic medical imaging.

Data Scientist 89

Data Scientist ML Data Science Automation 89

ML Review

FEBRUARY 26, 2018

Tasks such as “I’d like to book a one-way flight from New York to Paris for tomorrow” can be solved by the intention commitment + slot filing matching or deep reinforcement learning (DRL) model. Chitchatting, such as “I’m in a bad mood”, pulls up a method that marries the retrieval model with deep learning (DL).

Robotics 52

Robotics Deep Learning Chatbots Natural Language Processing 52

Unite.AI

JANUARY 9, 2024

Google focuses on expanding AI in search, advertising, cloud, healthcare, and education, with a particular emphasis on deep learning. Similarly, Google's acquisition of DeepMind in 2014 improved services like search and recommendations. Moreover, some acquisitions have led to legal disputes and financial consequences.

Natural Language Processing 147

Natural Language Processing Computer Vision Robotics AI 147

Mlearning.ai

MARCH 9, 2023

Recent studies have demonstrated that deep learning-based image segmentation algorithms are vulnerable to adversarial attacks, where carefully crafted perturbations to the input image can cause significant misclassifications (Xie et al., 2018; Sitawarin et al., 2018; Papernot et al., 2013; Goodfellow et al., For instance, Xu et al.

Computer Vision 52

Computer Vision Deep Learning Machine Learning Algorithm 52

TheSequence

NOVEMBER 22, 2023

In the past, I’ve spent a lot of time working on more efficient silicon architectures, particularly dataflow architectures, and advanced numerical quantization approaches for deep learning. Another area I'm excited about is programming languages for hardware synthesis, both ASICs and reconfigurable computing.

Neural Network 40

Neural Network Generative AI AI AI 40

PyImageSearch

NOVEMBER 13, 2023

Home Table of Contents Faster R-CNNs Object Detection and Deep Learning Measuring Object Detector Performance From Where Do the Ground-Truth Examples Come? One of the most popular deep learning-based object detection algorithms is the family of R-CNN algorithms, originally introduced by Girshick et al.

Convolutional Neural Networks 120

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Viso.ai

DECEMBER 3, 2023

The recent deep learning algorithms provide robust person detection results. However, deep learning models such as YOLO that are trained for person detection on a frontal view data set still provide good results when applied for overhead view person counting ( TPR of 95%, FPR up to 0.2% ).

Convolutional Neural Networks 98

Convolutional Neural Networks Computer Vision Neural Network Deep Learning 98

John Snow Labs

FEBRUARY 29, 2024

A significant milestone was reached in 2014 with the introduction of Generative Adversarial Networks (GANs). Gen AI, particularly through deep learning models, has shown remarkable accuracy in diagnosing diseases from medical images. However as AI technology progressed its potential within the field also grew.

Generative AI 40

Generative AI AI AI AI Modeling 40

Viso.ai

MARCH 12, 2024

Today’s boom in computer vision (CV) started at the beginning of the 21 st century with the breakthrough of deep learning models and convolutional neural networks (CNN). We split them into two categories – classical CV approaches, and papers based on deep-learning. Find the SURF paper here. Find the ImageNet paper here.

Computer Vision 52

Computer Vision Convolutional Neural Networks Neural Network Deep Learning 52