Allen AI

JUNE 20, 2023

Founded in 2014, AI2 is the research institute created by the late philanthropist Paul G. Today more than ever, the world needs truly open and transparent AI research that is grounded in science and a place where data, algorithms, and models are open and available to all. Brainchild of the late Paul G.

Artificial Intelligence 145

Artificial Intelligence Artificial Intelligence Computer Vision AI Research 145

Marktechpost

MAY 10, 2024

Still, it was only in 2014 that generative adversarial networks (GANs) were introduced, a type of Machine Learning (ML) algorithm that allowed generative AI to finally create authentic images, videos, and audio of real people. Generative AI (GenAI) tools have come a long way.

Prompt Engineer 138

Prompt Engineer Prompt Engineering Large Language Models Generative AI 138

Viso.ai

OCTOBER 9, 2024

Human-machine interaction is an important area of research where machine learning algorithms with visual perception aim to gain an understanding of human interaction. State-of-the-art emotion AI Algorithms Outlook, current research, and applications What Is AI Emotion Recognition? About us: Viso.ai What is Emotion AI?

Convolutional Neural Networks 98

Convolutional Neural Networks Neural Network Computer Vision Emotion AI 98

Towards AI

APRIL 23, 2024

However, generative models is not a new term and it has come a long way since Generative Adversarial Network (GAN) was published in 2014 [1]. It is one of the first algorithms to combine images based on deep learning. Neural Style Transfer (NST) was born in 2015 [2], slightly later than GAN.

Computer Vision 89

Computer Vision Generative AI Deep Learning AI 89

Towards AI

JULY 19, 2023

Basically crack is a visible entity and so image-based crack detection algorithms can be adapted for inspection. Deep learning algorithms can be applied to solving many challenging problems in image classification. Deep learning algorithms can be applied to solving many challenging problems in image classification. Georgieva, V.

Computer Vision 74

Computer Vision Deep Learning Categorization Automation 74

Marktechpost

MAY 23, 2024

Applications of RL RL has been applied successfully in various domains: Gaming: RL algorithms have mastered complex games like Go, chess, and video games, often surpassing human experts. Over time, the agent aims to develop an optimal policy that maximizes the total reward.

Artificial Intelligence 128

Artificial Intelligence Artificial Intelligence Neural Network Robotics 128

Unite.AI

JUNE 25, 2024

He co-authored the text-book “Single Photon Devices and Applications” and was awarded the French National Order of Merit in 2014 for developing the “Diffractive Lightfield Backlighting” concept. Fattal holds over 100 granted patents and was featured on the 2013 list of 35 Innovator under 35 by the MIT technology Review.

Neural Network 173

Neural Network Algorithm AI AI 173

Unite.AI

JUNE 11, 2024

It was in 2014 when ICML organized the first AutoML workshop that AutoML gained the attention of ML developers. Second, the White-Box Preset implements simple interpretable algorithms such as Logistic Regression instead of WoE or Weight of Evidence encoding and discretized features to solve binary classification tasks on tabular data.

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Auto-classification Machine Learning Data Scientist Metadata 263

Towards AI

NOVEMBER 8, 2024

The text-generation process involves utilizing algorithms and models to generate the written content based on the given input, for instance, it can be a prompt, a set of keywords, or even a specific context. They’re called Gated Recurrent Units, and they’re basically an upgraded type of neural network that came out in 2014.

Automation 100

Automation Natural Language Processing Neural Network NLP 100

Viso.ai

DECEMBER 3, 2023

This article will provide an introduction to object detection and provide an overview of the state-of-the-art computer vision object detection algorithms. The recent deep learning algorithms provide robust person detection results. Detecting people in video streams is an important task in modern video surveillance systems.

Convolutional Neural Networks 98

Convolutional Neural Networks Computer Vision Neural Network Deep Learning 98

IBM Journey to AI blog

AUGUST 7, 2023

AI algorithms have the potential to surpass traditional statistical approaches for analyzing comprehensive recruitment data and accurately forecasting enrollment rates. By learning from historical patterns and using advanced algorithms, models can identify deviations from expected site performance levels and trigger alerts.

AI 188

AI AI Algorithm Artificial Intelligence 188

Unite.AI

FEBRUARY 16, 2024

In 2014, you launched Cubic.ai, one of the first smart speakers and voice-assistant apps for smart homes. in 2014 and brought my family with me. This inspired him to build Buddy, a fictional character that kids can actually converse with through the power of generative AI. What were some of your key takeaways from this experience?

Natural Language Processing 173

Natural Language Processing AI AI UX Design 173

Flipboard

JUNE 20, 2023

Rather than humans programming computers with specific step-by-step instructions on how to complete a task, in machine learning a human provides the AI with data and asks it to achieve a certain outcome via an algorithm. As a result, it opens the door for machines capable of performing many different tasks significantly better than humans.

Neural Network 158

Neural Network Deep Learning Machine Learning AI 158

Mlearning.ai

APRIL 8, 2023

Charting the evolution of SOTA (State-of-the-art) techniques in NLP (Natural Language Processing) over the years, highlighting the key algorithms, influential figures, and groundbreaking papers that have shaped the field. NLP algorithms help computers understand, interpret, and generate natural language.

NLP 98

NLP Neural Network Natural Language Processing Convolutional Neural Networks 98

AssemblyAI

AUGUST 15, 2023

**Improving CPython's performance** Guido initially coded CPython simply and efficiently, but over time more optimized algorithms were developed to improve performance. The example of prime number checking illustrates the time-space tradeoff in algorithms. **The However, over time these modules became outdated.

Python 130

Python Large Language Models Neural Network Algorithm 130

Mlearning.ai

MARCH 9, 2023

Automated algorithms for image segmentation have been developed based on various techniques, including clustering, thresholding, and machine learning (Arbeláez et al., Understanding the robustness of image segmentation algorithms to adversarial attacks is critical for ensuring their reliability and security in practical applications.

Computer Vision 52

Computer Vision Deep Learning Machine Learning Algorithm 52

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 what is the procedure?

Neural Network 86

Neural Network Deep Learning Artificial Intelligence Artificial Intelligence 86

How to Learn Machine Learning

JULY 20, 2024

It falls under machine learning and uses deep learning algorithms and programs to create music, art, and other creative content based on the user’s input. However, significant strides were made in 2014 when Lan Goodfellow and his team introduced Generative adversarial networks (GANs).

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Generative AI Machine Learning Deep Learning AI 64

NVIDIA

MARCH 5, 2024

Director Gareth Edwards, also known for Rogue One and Godzilla (2014), has been widely applauded for delivering a film with the look of an expensive summer blockbuster using a fraction of the typical budget. The film made significant use of CG animation and visual effects to create environments both futuristic and plausible.

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Algorithm Generative AI AI AI 114

Viso.ai

JUNE 26, 2024

This article will discuss the following: Neuromorphic Engineering and its core principles History and Development Algorithms Used How Neuromorphic Algorithms differ from Traditional Algorithms Real-world examples Applications and Use Cases About Us: At Viso.ai, we power Viso Suite, the most complete end-to-end computer vision platform.

Neural Network 40

Neural Network Algorithm Robotics Computer Vision 40

Pickl AI

SEPTEMBER 30, 2024

Introduction Generative Adversarial Networks (GANs) have emerged as one of the most exciting advancements in the field of Artificial Intelligence and Machine Learning since their introduction in 2014 by Ian Goodfellow and his collaborators. This capability could revolutionise user experiences across platforms.

Neural Network 52

Neural Network Machine Learning Artificial Intelligence Artificial Intelligence 52

Towards AI

AUGUST 16, 2023

No Free Lunch Theorem: Any two algorithms are equivalent when their performance is averaged across all possible problems. MIT Press, ISBN: 978–0262028189, 2014. [2] All looks good, but the (numerical) result is clearly incorrect. There will always be experimental parts that will be constantly changing. References [1] E. Russell and P.

Machine Learning 82

Machine Learning Software Development Data Drift DevOps 82

Towards AI

MARCH 20, 2023

By leveraging advanced algorithms, generative AI models can generate text, images, music, and more, with minimal human intervention. Traditional AI models, such as classification or regression algorithms, solve specific problems by finding correlations in the data. What is the history and evolution of generative AI?

Generative AI 65

Generative AI Neural Network Natural Language Processing AI Modeling 65

AWS Machine Learning Blog

JANUARY 25, 2023

Apart from supporting explanations for tabular data, Clarify also supports explainability for both computer vision (CV) and natural language processing (NLP) using the same SHAP algorithm. Specifically, we show how you can explain the predictions of a text classification model that has been trained using the SageMaker BlazingText algorithm.

Explainability 83

Explainability Natural Language Processing Algorithm Machine Learning 83

ODSC - Open Data Science

APRIL 19, 2023

But when we landed our first jobs, we quickly realized that it’s not actually the algorithms or the coding that are so difficult. Since founding DSI Analytics in 2014, he has worked directly with dozens of companies across a wide range of industries (Adidas, Miro, Janssen Pharmaceuticals, ABN Amro, Sky Broadcasting, etc).

Data Scientist 84

Data Scientist Data Science Explainability Machine Learning 84

Becoming Human

MARCH 17, 2023

Amazon Alexa was launched in 2014 and functions as a household assistant. Nuance , an innovation specialist focusing on conversational AI, feeds its advanced Natural Language Processing (NLU) algorithm with transcripts of chat logs to help its virtual assistant, Pathfinder, accomplish intelligent conversations.

Neural Network 124

Neural Network Artificial Intelligence Artificial Intelligence Automation 124

ML Review

JUNE 4, 2018

Image captioning (circa 2014) Image captioning research has been around for a number of years, but the efficacy of techniques was limited, and they generally weren’t robust enough to handle the real world. However, in 2014 a number of high-profile AI labs began to release new approaches leveraging deep learning to improve performance.

Neural Network 52

Neural Network Convolutional Neural Networks Computer Vision Deep Learning 52

Mlearning.ai

JULY 31, 2023

2014; Bojanowski et al., The repository includes embedding algorithms, such as Word2Vec, GloVe, and Latent Semantic Analysis (LSA), to use with their PIP loss implementation. As such, I’ve adapted and converted the simplest algorithm (LSA) and PIP loss implementations with PyTorch and guided comments for more flexibility.

Deep Learning 52

Deep Learning Computer Vision Algorithm AI 52

AWS Machine Learning Blog

OCTOBER 17, 2023

According to a 2014 study, the proportion of severely lame cows in China can be as high as 31 percent. Lame cow algorithm: Normalize the anomalies to obtain a score to determine the degree of cow lameness. As a result, we ultimately chose OC-SORT as our tracking algorithm.

Computer Vision 123

Computer Vision Algorithm AI AI 123

Mlearning.ai

FEBRUARY 15, 2023

Uysal and Gunal, 2014). Figure 4 Data Cleaning Conventional algorithms are often biased towards the dominant class, ignoring the data distribution. Figure 11 Model Architecture The algorithms and models used for the first three classifiers are essentially the same.

BERT 52

BERT NLP Natural Language Processing Algorithm 52

Becoming Human

MARCH 16, 2023

Overhyped or not, investments in AI drug discovery jumped from $450 million in 2014 to a whopping $58 billion in 2021. AI began back in the 1950s as a simple series of “if, then rules” and made its way into healthcare two decades later after more complex algorithms were developed. AI drug discovery is exploding.

Neural Network 139

Neural Network Deep Learning Artificial Intelligence Artificial Intelligence 139

ML @ CMU

DECEMBER 29, 2023

These factors introduce noise that can affect hyperparameter tuning algorithms and lead to suboptimal model selection. However, FL is still vulnerable to post-hoc attacks where the public output of the FL algorithm (e.g. that are fed into an FL training algorithm (more details in the next section).

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Algorithm Machine Learning Explainability ML 87

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. With no access to the internal workings of ChatGPT, we devised a large-scale statistical study to get to the root of this question.

ChatGPT 52

ChatGPT Large Language Models Algorithm Deep Learning 52

AWS Machine Learning Blog

JULY 13, 2023

Another way can be to use an AllReduce algorithm. For example, in the ring-allreduce algorithm, each node communicates with only two of its neighboring nodes, thereby reducing the overall data transfers. Train a binary classification model using the SageMaker built-in XGBoost algorithm. alpha – L1 regularization term on weights.

Algorithm 79

Algorithm Deep Learning Neural Network Machine Learning 79

PyImageSearch

NOVEMBER 13, 2023

One of the most popular deep learning-based object detection algorithms is the family of R-CNN algorithms, originally introduced by Girshick et al. Since then, the R-CNN algorithm has gone through numerous iterations, improving the algorithm with each new publication and outperforming traditional object detection algorithms (e.g.,

Convolutional Neural Networks 118

Convolutional Neural Networks Neural Network Computer Vision Deep Learning 118

Flipboard

AUGUST 25, 2023

The “deep learning revolution” — a time when development and use of the technology exploded — took off around 2014, Zhavoronkov said. AI, with its powerful algorithms and data-driven approaches, has the potential to revolutionize the process of discovering new drugs.” I am confident no such technology exists today.”

Machine Learning 123

Machine Learning AI AI Deep Learning 123

Snorkel AI

JANUARY 10, 2023

In 2000, statistical algorithms came into existence, and these had the ability to handle tens of thousands of words. However, the problem with statistical algorithms was that, firstly, accuracy had reached a stable stage. So, you need to have that tight force alignment data to develop these statistical algorithm pipelines.

Deep Learning 52

Deep Learning AI AI Algorithm 52