Allen AI

JUNE 20, 2023

In 2015, Farhadi joined AI2 to start the Computer Vision team, with a focus on visual common-sense reasoning and the role of actions and interactions in visual understanding. While at AI2, Farhadi co-founded Xnor.ai, the first on-device Deep Learning startup that was acquired by Apple in 2020. “As

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Unite.AI

SEPTEMBER 11, 2023

This is classified as a “glass-box”, explanatory algorithm that generates a function, whose output is visible as opposed to “black-box” algorithms that merely generate patterns, but do not offer any explanatory description of the dynamics of system/data set, nor have any substantive “Understanding” of what the pattern means.

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Unite.AI

FEBRUARY 22, 2024

Roadzen was born out of a frustrating experience in 2015, when a friend's accident led to dealing with long delays in getting roadside assistance, several phone calls to file a claim over four and a half hours. Now, we apply these ideas at Roadzen to make cars more intelligent and the legacy world of insurance dynamic and real-time.

Computer Vision 182

Computer Vision Machine Learning Robotics Automation 182

AWS Machine Learning Blog

DECEMBER 7, 2023

Getir was founded in 2015 and operates in Turkey, the UK, the Netherlands, Germany, and the United States. Amazon Forecast is a fully managed service that uses machine learning (ML) algorithms to deliver highly accurate time series forecasts. The Amazon Forecast models were eventually selected for the algorithmic modeling segment.

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Convolutional Neural Networks Algorithm Neural Network Machine Learning 99

Towards AI

FEBRUARY 14, 2023

It involves using machine learning algorithms to generate new data based on existing data. Generative AI is a subset of artificial intelligence (AI) that involves using algorithms to create new data. Generative AI works by training algorithms on large datasets, which the algorithm can then use to generate new data.

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Artificial Intelligence Artificial Intelligence Generative AI Natural Language Processing 93

Pickl AI

APRIL 8, 2024

This blog explores 13 major AI blunders, highlighting issues like algorithmic bias, lack of transparency, and job displacement. From the moment we wake up to the personalized recommendations on our phones to the algorithms powering facial recognition software, AI is constantly shaping our world.

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Artificial Intelligence Artificial Intelligence Algorithm AI 52

Towards AI

JULY 15, 2023

Traditional methods for detecting fake accounts often rely on complex machine-learning algorithms. In this blog, I delve into the fascinating intersection of Benford’s Law and machine learning, exploring how this mathematical principle can be employed alongside advanced algorithms to expose and combat the presence of fake Twitter followers.

Machine Learning 72

Machine Learning Algorithm AI AI 72

The Stanford AI Lab Blog

FEBRUARY 24, 2022

In this first post, we’ll analyze self-training , which is a very impactful algorithmic paradigm for semi-supervised learning and domain adaptation. In Part 2, we will use related theoretical ideas to analyze self-supervised contrastive learning algorithms, which have been very effective for unsupervised representation learning.

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Deep Learning Algorithm Explainability 40

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. Yi, and J.-K.

Computer Vision 80

Computer Vision Deep Learning Categorization Automation 80

Unite.AI

JULY 28, 2023

You worked at Red Hat from 2015 to 2019, what were some of the projects you worked on and your key takeaways from this experience? Minimizing latency also improves scalability by improving time to completion for collective algorithms. He invited me to tour his HPC lab and I was hooked. I've been a supercomputer geek ever since.

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Software Engineer Generative AI Computer Scientist Software Development 246

Topbots

MARCH 5, 2024

From algorithms that compose symphonies to software that drafts novels, the scope of computer-generated creativity is expanding, challenging our preconceived notions of artistry and originality. The research advancements quickly transformed into practical applications.

Large Language Models 52

Large Language Models AI AI Software Development 52

Mlearning.ai

DECEMBER 28, 2023

First staged in 2015, the story follows Hillary, a researcher in a brain institute, who has faith in God and an obsession with goodness of human beings. ChatGPT is not a conscious algorithm because it is only active when a user is interacting with it. This reminds me of a video I watched recently. What’s the future for generative AI?

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Large Language Models Generative AI ChatGPT LLM 52

Viso.ai

FEBRUARY 11, 2024

The Need for Image Training Datasets To train the image classification algorithms we need image datasets. These datasets contain multiple images similar to those the algorithm will run in real life. The labels provide the Knowledge the algorithm can learn from. Algorithms that won the ImageNet challenge by year – source.

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Convolutional Neural Networks Computer Vision Neural Network Deep Learning 52

IBM Journey to AI blog

AUGUST 11, 2023

Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects. It advances the scalability of ML in real-world applications by using algorithms to improve model performance and reproducibility. What is MLOps?

Data Science 144

Data Science DevOps Machine Learning Data Scientist 144

OpenAI

NOVEMBER 30, 2022

Sample 1 2 3 of 3   Previous   Next User Tell me about when Christopher Columbus came to the US in 2015 ChatGPT This question is a bit tricky because Christopher Columbus died in 1506, so he could not have come to the US in 2015. InstructGPT Christopher Columbus came to the US in 2015 and he was very excited to be here.

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Mlearning.ai

FEBRUARY 18, 2024

Source : COCO Released by Microsoft in 2015, the MS COCO dataset is a comprehensive collection crafted for tasks such as object detection, image segmentation, and captioning. As a result, the MS COCO dataset stands as a valuable asset for training algorithms focused on object detection and classification.

Computer Vision 52

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Unite.AI

OCTOBER 2, 2023

Why current methods fail to predict consumer preference for sensory-based products When we started our research in 2015, we had the hypothesis that everything you need to know about the flavor of wine, that is to say the taste, aroma, texture, and color – exists in the chemistry.

Machine Learning 278

Machine Learning Data Quality Explainability AI 278

AWS Machine Learning Blog

OCTOBER 5, 2023

Xin Huang is a Senior Applied Scientist for Amazon SageMaker JumpStart and Amazon SageMaker built-in algorithms. He focuses on developing scalable machine learning algorithms. From 2015–2018, he worked as a program director at the US NSF in charge of its big data program. He founded StylingAI Inc.,

Machine Learning 97

Machine Learning Big Data Deep Learning Natural Language Processing 97

Viso.ai

APRIL 25, 2024

Therefore, to do face recognition, the algorithm often runs face verification. 2015) published a paper called EdgeFace or Efficient Face Recognition Model. For ECG data they applied a mapping algorithm from activities to effort levels and a lightweight CNN architecture. Ecabert, et al.

Computer Vision 52

Computer Vision Deep Learning Convolutional Neural Networks Python 52

Towards AI

JULY 18, 2023

Algorithms also refer back to reviews to determine a product’s ranking in a category. In a 2015 report, the CMA estimated that “£23 billion a year of UK consumer spending is potentially influenced by online reviews”. Still not convinced? Allow me to frame it differently. Don’t underestimate the power of social proof.

Data Mining 79

Data Mining Machine Learning Algorithm AI 79

Flipboard

AUGUST 25, 2023

Between 2008 and 2015, many companies focused on AI drug discovery launched, including Evaxion, Exscientia, Recursion, Benevolent AI, and Insilico Medicine. AI, with its powerful algorithms and data-driven approaches, has the potential to revolutionize the process of discovering new drugs.”

Machine Learning 123

Machine Learning AI AI Deep Learning 123

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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Neural Network Deep Learning Machine Learning AI 140

Mlearning.ai

AUGUST 7, 2023

" which premiered in 2015 or an SNL parody from 2019 (which adds narration not present in the Wes Anderson films but featured in many subsequent AI-powered trailers). The works of others do not influence them as a disinterested algorithm for a third party's benefit by providing creative content like training data to a computer.

AI 52

AI AI Algorithm Artificial Intelligence 52

AWS Machine Learning Blog

OCTOBER 9, 2023

Although the internal algorithms within Amazon Personalize have been chosen based on Amazon’s experience in the machine learning space, a personalized model doesn’t come pre-loaded with any sort of data and trains models on a customer-by-customer basis. References [1] Maxwell Harper and Joseph A. The MovieLens Datasets: History and Context.

Machine Learning 87

Machine Learning Python Deep Learning Data Quality 87

ML Review

MARCH 31, 2019

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. Source: Explaining and Harnessing Adversarial Examples , Goodfellow et al, ICLR 2015. Source: Explaining and Harnessing Adversarial Examples , Goodfellow et al, ICLR 2015. Sharif et al.

Neural Network 52

Neural Network Machine Learning Deep Learning Explainability 52

Explosion

DECEMBER 17, 2013

This post explains how transition-based dependency parsers work, and argues that this algorithm represents a break-through in natural language understanding. In 2015 this type of parser is now increasingly dominant. A concise sample implementation is provided, in 500 lines of Python, with no external dependencies.

Python 40

Python Explainability Algorithm 40

Pickl AI

FEBRUARY 14, 2023

Significantly, by leveraging technologies like deep learning and proprietary algorithms for analytics, Artivatic.ai launched its meta framework on TensorFlow in 2015. Artivatic.ai Artivatic.ai provides high efficiency and transparency for an entire lifecycle of operations. Effectively, Beethoven.ai

BERT 52

BERT Artificial Intelligence Artificial Intelligence AI 52

The MLOps Blog

NOVEMBER 30, 2022

These days enterprises are sitting on a pool of data and increasingly employing machine learning and deep learning algorithms to forecast sales, predict customer churn and fraud detection, etc., Data science practitioners experiment with algorithms, data, and hyperparameters to develop a model that generates business insights.

ML 52

ML Metadata Machine Learning Software Development 52

Probably Approximately a Scientific Blog

SEPTEMBER 14, 2018

With machine learning increasingly automating many previously manual decision making processes, it’s time to reflect not only on the algorithms’ performances but also on the ethical issues involved. Here are some questions about ethical concerns: Fairness : are the outputs of our algorithms fair towards everyone?

Machine Learning 52

Machine Learning Algorithm Natural Language Processing Automation 52

PyImageSearch

JANUARY 30, 2023

For example, they can scan test papers with the help of natural language processing (NLP) algorithms to detect correct answers and grade them accordingly. Figure 6: Changing demand for core work-related skills from 2015 to 2020 (source: IFC ). Task Automation AI software can easily handle repetitive, manual tasks (e.g.,

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Computer Vision Deep Learning Neural Network Artificial Intelligence 107

TheSequence

NOVEMBER 22, 2023

I’ve been interested in AI for a long time, but didn’t work in it as a core area until about 2015. Some of that work involved deep algorithmic work, which culminated in this year’s announcement of the MX consortium , which is standardized 4, 6, and 8-bit datatypes for ultra-efficient AI computation.

Neural Network 40

Neural Network Generative AI AI AI 40

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 120

Topbots

MAY 17, 2023

In 2015, a research paper from Stanford University and UC Berkeley introduced diffusion models, coming originally from statistical physics, into the field of machine learning. However, the quality of generated images was quite poor back in 2015, as there was still huge room for improvement. Midjourney Evolution.

Neural Network 97

Neural Network Computer Vision OpenAI Machine Learning 97

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

Pickl AI

JULY 3, 2023

billion in 2015 and reached around $26.50 These languages enable BI Developers to automate repetitive tasks, perform data transformations, and leverage machine learning algorithms for predictive analytics. Data Visualization: BI Developers should have a strong grasp of data visualization principles and best practices.

Business Intelligence 52

Business Intelligence ETL Continuous Learning Data Integration 52

AWS Machine Learning Blog

APRIL 25, 2024

The most common techniques used for extractive summarization are term frequency-inverse document frequency (TF-IDF), sentence scoring, text rank algorithm, and supervised machine learning (ML). Use the evaluation algorithm with either built-in or custom datasets to evaluate your LLM model.

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BERT NLP Algorithm Neural Network 108

Unite.AI

OCTOBER 24, 2023

So in 2015, I left Home Depot to tackle this issue and build this technology with my co-founder, Justin Maxwell. What are some of the machine learning algorithms that are used? One other very popular feature with our agents is that we use algorithms to block over 20 million spam calls – a service we offer free to our customers.

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