Dataconomy

APRIL 2, 2025

Through various machine learning techniques, artists and non-artists alike can harness the power of algorithms to generate unique visual and auditory experiences. This genre encompasses everything from purely algorithm-generated images to pieces modified by AI tools. What is AI art? Accessibility opens up new avenues for expression.

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Hacker News

AUGUST 11, 2023

Back in 2014, Elon Musk referred to AI as summoning the demon. By the end of 2017, the same algorithm mastered Chess and Shogi. And it wasn’t hard to see that view. Soon, Go agents would beat top humans learning from self play. By 2020, it didn’t even need tons of calls to the simulator, and could play Atari too.

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Algorithm AI AI 93

Dataconomy

APRIL 3, 2025

After graduating, Harshit joined Amazon in 2014 as a Software Development Engineer, where he designed key shipment tracking components that improved delivery experience and notifications. At MoveInSync, he worked on a project to optimize vehicle routing with a genetic algorithm and built a full-stack application for secure travel.

Big Data 91

Big Data Big Data Machine Learning Machine Learning 91

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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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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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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Smart Data Collective

JULY 28, 2022

Fortunately, new predictive analytics algorithms can make this easier. Predictive analytics algorithms are more effective at anticipating price patterns when they are designed with the right variables. This algorithm proved to be surprisingly effective at forecasting bitcoin prices. For further information explore quantum code.

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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 Machine Learning ML 212

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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Smart Data Collective

APRIL 28, 2019

We looked at our Android audience in emerging markets and found that the majority of our audience relied on devices which were from 2014 or older, as per the year-class scale for mobile phones. Predictive analytics algorithms will help developers monitor the pace of technological progress in various countries.

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Predictive Analytics Analytics Analytics Big Data 101

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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Towards AI

MAY 12, 2025

Following Word2Vec, GloVe (Global Vectors) was introduced by researchers at Stanford in 2014, focusing on capturing word co-occurrences globally. It provides a fast and memory-efficient implementation of various NLP algorithms, including Word2Vec, Doc2Vec, and FastText.

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Natural Language Processing AI AI Python 81

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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Dataconomy

MAY 6, 2025

Overview of VGGNet The development of VGGNet occurred during the 2014 ImageNet Large Scale Visual Recognition Challenge (ILSVRC). Version highlights VGG-19 achieved remarkable performance metrics in the ILSVRC 2014, with a top-5 error rate of just 7.3%.

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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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AWS Machine Learning Blog

JUNE 3, 2025

Bevar Ukraine was established in 2014 and has been at the forefront of supporting Ukrainian refugees in Denmark since the full-scale war in 2022, providing assistance to over 30,000 Ukrainians with housing, job search, and integration services.

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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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Algorithm Natural Language Processing Machine Learning Machine Learning 94

Smart Data Collective

FEBRUARY 19, 2020

They need to adapt their borrowing strategy to the new big data algorithms to improve their changes of securing a loan. This has proven important too, with the value of loans provided by big banks having declined by 3% overall between 2014 and 2019. Big Data Rewrites the Rules of Borrowing for Small Businesses.

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AssemblyAI

JUNE 3, 2024

**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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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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Smart Data Collective

APRIL 30, 2021

Aura CEO Hari Ravichandran wrote that, “In 2014, my own credit information was stolen online. Malware protection tools have long employed AI-based algorithms in their pursuit of scanning subroutines that detect threats heuristically. Harnessing AI to Protect Remote Workers.

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AWS Machine Learning Blog

FEBRUARY 29, 2024

is a startup dedicated to the mission of democratizing artificial intelligence technologies through algorithmic and software innovations that fundamentally change the economics of deep learning. He did his PhD in “Hashing Algorithms for Search and Information Retrieval” at Rice University. Founded in 2021, ThirdAI Corp.

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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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AWS Machine Learning Blog

FEBRUARY 11, 2025

About the author Theodore Vasiloudis is a Senior Applied Scientist at Amazon Web Services, where he works on distributed machine learning systems and algorithms. He received his PhD in computer systems and architecture at the Fudan University, Shanghai, in 2014.

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Dataversity

APRIL 29, 2021

The Challenge Michael Stonebraker, winner of the Turing Award 2014, has been quoted as saying: “The change will come when business analysts who work with SQL on large amounts of data give way to data scientists, which will involve more sophisticated analysis, predictive modeling, regressions and Bayesian […].

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Data Science Data Scientist SQL Big Data 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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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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Natural Language Processing AI AI Algorithm 85

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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Smart Data Collective

MAY 17, 2021

Companies like Google and Facebook soared to new heights due to the data we provided in exchange for “free” digital products, while their personalization algorithms started to shape our thoughts, feelings, tastes, political opinions, and even democracies.

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Algorithm AI AI 106

Data Science Blog

JUNE 27, 2023

Kappa – Architecture Jay Kreps introduced the Kappa architecture in 2014 as an alternative to the Lambda architecture. Requirements that clearly speak in favor of Kappa: When the algorithms applied to the real-time data and the historical data are identical.

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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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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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DrivenData Labs

DECEMBER 11, 2024

Looking back ¶ When we started DrivenData in 2014, the application of data science for social good was in its infancy. Two of our co-founders were part of Harvards first Masters program in Computational Science and Engineering in 2014, now one of many such programs at universities. Take the Zamba tool we discussed above.

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AWS Machine Learning Blog

JANUARY 26, 2023

Since March 2014, Best Egg has delivered $22 billion in consumer personal loans with strong credit performance, welcomed almost 637,000 members to the recently launched Best Egg Financial Health platform, and empowered over 180,000 cardmembers who carry the new Best Egg Credit Card in their wallet.

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ML ML Data Scientist AWS 101

Dataconomy

SEPTEMBER 27, 2023

Data scientists develop and apply machine learning algorithms to solve complex data problems. Machine learning developers develop and train machine learning algorithms. Data analysts collect, clean, and analyze data to extract insights that can help businesses make better decisions. AI engineers design and build AI systems.

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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.

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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.

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