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 122

Automation Natural Language Processing Neural Network NLP 122

Unite.AI

JUNE 6, 2023

Founded in 2014, LXT is headquartered in Toronto, Canada with a presence in the United States, Australia, India, Turkey, and Egypt. When it comes to data challenges, LXT can both source data and label it so that machine learning algorithms can make sense of it. Could you share the genesis story behind LXT?

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Data Drift Algorithm Data Quality Artificial Intelligence 263

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.

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Artificial Intelligence Artificial Intelligence Computer Vision AI Researcher 145

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

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.

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Prompt Engineer Prompt Engineering Large Language Models Generative AI 138

Marktechpost

AUGUST 24, 2023

As an alternative, offline RL algorithms are more computationally efficient and less vulnerable to reward hacking because they learn from a predefined dataset of samples. Additionally, previous studies examined model regularisation to address the “hacking” problem that these approaches are prone to.

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Algorithm Large Language Models Data Quality LLM 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.

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Computer Vision Generative AI Deep Learning AI 111

Towards AI

AUGUST 25, 2023

In ML, there are a variety of algorithms that can help solve problems. In graduate school, a course in AI will usually have a quick review of the core ML concepts (covered in a previous course) and then cover searching algorithms, game theory, Bayesian Networks, Markov Decision Processes (MDP), reinforcement learning, and more.

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Machine Learning Software Engineer Neural Network Data Science 98

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.

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Computer Vision Deep Learning Categorization Algorithm 98

Flipboard

APRIL 8, 2023

Until 2014, most new machine learning models came from academia, but industry has quickly surged ahead. Industry is also the place for new machine learning models With greater numbers of Ph.D.’s, s, it’s no surprise that industry has raced ahead of academia in producing new machine learning models.

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Large Language Models Machine Learning Artificial Intelligence Artificial Intelligence 182

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.

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Algorithm AI AI Artificial Intelligence 175

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.

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Neural Network Algorithm AI AI 173

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.

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Artificial Intelligence Artificial Intelligence Neural Network Robotics 124

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.

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AWS Machine Learning Blog

APRIL 7, 2025

billion, representing a significant increase of approximately 223% over the 7-year period. ### Net Income Growth | Year | Net Income (in billion USD) | | | | | 2014 | 0.236 | | 2015 | 0.596 | | 2016 | 2.37 | | 2017 | 3.03 | | 2018 | 10.07 | | 2019 | 11.59 | | 2020 | 18.68 | | 2021 | 33.4 | | 2022 | 18.7 billion to a projected $574.78

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Machine Learning Large Language Models Python Automation 86

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?

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Convolutional Neural Networks Neural Network Computer Vision Emotion AI 98

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?

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Natural Language Processing UX Design AI AI 173

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.

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Convolutional Neural Networks Computer Vision Neural Network Deep Learning 98

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.

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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.

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Python Large Language Models Neural Network Algorithm 130

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?

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Neural Network Deep Learning Artificial Intelligence Artificial Intelligence 98

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?

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Generative AI Neural Network Natural Language Processing AI Modeling 93

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.

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Neural Network Deep Learning Artificial Intelligence Artificial Intelligence 139

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.

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Neural Network Artificial Intelligence Artificial Intelligence Automation 124

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 115

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.

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Machine Learning Software Development Data Drift Data Science 98

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.

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Explainability Algorithm Natural Language Processing Machine Learning 88

O'Reilly Media

APRIL 23, 2024

Why is it that Amazon, which has positioned itself as “the most customer-centric company on the planet,” now lards its search results with advertisements, placing them ahead of the customer-centric results chosen by the company’s organic search algorithms, which prioritize a combination of low price, high customer ratings, and other similar factors?

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BERT Algorithm AI AI 135

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.

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Algorithm Computer Vision AI AI 123

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

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.,

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Convolutional Neural Networks Neural Network Computer Vision Deep Learning 118

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).

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Data Scientist Data Science Machine Learning Explainability 84

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 Deep Learning AI AI 123

NVIDIA

NOVEMBER 3, 2023

Financial Services: Securing Digital Transactions, Payments and Portfolios Banks, asset managers, insurers and other financial service organizations are using AI and machine learning to deliver superior performance in fraud detection, portfolio management, algorithmic trading and self-service banking. airport websites last year.

Machine Learning 122

Machine Learning AI AI Deep Learning 122

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.

Deep Learning 52

Deep Learning Computer Vision Machine Learning Algorithm 52

AWS Machine Learning Blog

OCTOBER 6, 2023

To simplify, you can build a regression algorithm using a user’s previous ratings across different categories to infer their overall preferences. This can be done with algorithms like XGBoost. Next, we recommend “Interstellar” (2014), a thought-provoking and visually stunning film that delves into the mysteries of time and space.

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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 84

Algorithm Deep Learning Neural Network Machine Learning 84