Heartbeat

FEBRUARY 2, 2024

The significance of VQA extends beyond traditional computer vision tasks, requiring algorithms to exhibit a broader understanding of context, semantics, and reasoning. It's remarkable diversity and scale position it as a cornerstone for evaluating and benchmarking VQA algorithms.

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Alation

FEBRUARY 13, 2020

By matching landmarks on the human face or identifying patterns in speech rate, pitch range, intensity, and voice quality, AI is able to detect human emotions — some algorithms can even detect 10-different emotions. AI is not a fad, algorithmic decision-making is inevitable. Subscribe to Alation's Blog.

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AWS Machine Learning Blog

MARCH 28, 2024

News CommonCrawl is a dataset released by CommonCrawl in 2016. News CommonCrawl SEC Filing Coverage 2016-2022 1993-2022 Size 25.8 billion words The authors go through a few extra preprocessing steps before the data is fed into a training algorithm. Publicly listed companies are required to file various documents regularly.

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IBM Journey to AI blog

MARCH 8, 2024

Personalization AI algorithms can analyze vast amounts of customer data, including browsing history, purchasing behavior, and demographic information to deliver personalized product recommendations and tailored shopping experiences. Trend: Live commerce Live commerce originated in China.

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Dataconomy

DECEMBER 29, 2023

Launched in 2016 as an Instagram profile, Lil Miquela has since expanded her presence to TikTok and has amassed millions of followers on both platforms. Alex engages primarily on YouTube, Twitter, Instagram for live sessions, and maintains a blog for in-depth written content.

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Smart Data Collective

JUNE 22, 2022

In 2016, just 7% of payments were made by a debit or credit card. They are all using new big data algorithms to streamline their transactions. This is a trend we discussed in one of our blog posts 10 years ago based on a Gartner report. Big data technology has made it possible for companies to offer these services.

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Pickl AI

OCTOBER 1, 2024

This blog highlights top companies like OpenAI and Google DeepMind, explores key success factors, and discusses emerging players in the space, showcasing the immense potential and future impact of Generative AI technologies. In this comprehensive blog post, we’ll take a deep dive into the world of Generative AI companies.

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DrivenData Labs

MARCH 30, 2023

Modeling ¶ Most teams experimented with a variety of modeling algorithms, and many noted that the privacy techniques in their solutions could be paired with more than one family of machine learning models. We are excited to take on this challenge and continue pushing the boundaries of machine learning research.

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Ocean Protocol

FEBRUARY 21, 2024

Participants created machine learning algorithms to forecast future rates of accidents and fatalities using the available public data. Another significant drop was observed from 2016 onwards, indicating the effectiveness of road safety interventions implemented over time. The challenge questions can be read directly on Desights.ai.

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Heartbeat

SEPTEMBER 13, 2023

Algorithmic Accountability: Explainability ensures accountability in machine learning and AI systems. It provides insights into model refinement, feature engineering, or algorithmic modifications. Alibi Alibi is an open-source Python library for algorithmic transparency and interpretability. Blog Mahmood, A. Singh, S. &

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Hacker News

MAY 13, 2024

was used to register at least six domains, including a Russian business registered in Khoroshev’s name called tkaner.com , which is a blog about clothing and fabrics. NeroWolfe seems to have abandoned all of his forum accounts sometime in 2016. In November 2016, an exploit[.]ru The algorithms used are AES + RSA.

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AWS Machine Learning Blog

OCTOBER 10, 2023

In this blog, you will learn to build a cloud-native FL architecture on AWS. Challenges in FL You can address the following challenges using algorithms running at FL servers and clients in a common FL architecture: Data heterogeneity – FL clients’ local data can vary (i.e., We use Amazon S3 to store the global and local models.

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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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Iguazio

DECEMBER 5, 2023

In this blog post, we bring the top 23 free human-annotated datasets you can use for your model training and evaluation. By providing the ground truth for models, algorithms can understand patterns and make better predictions on new, unseen data. This is where human-annotated datasets come into play. Get the dataset here.

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DrivenData Labs

SEPTEMBER 10, 2024

Advance algorithms and analytic approaches for early prediction of AD/ADRD, with an emphasis on explainability of predictions. Top solvers from Phase 2 demonstrate algorithmic approaches on diverse datasets and share their results at an innovation event. Phase 2 [Build IT!] Phase 3 [Put IT All Together!]

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BAIR

APRIL 6, 2023

This approach is known as “Fleet Learning,” a term popularized by Elon Musk in 2016 press releases about Tesla Autopilot and used in press communications by Toyota Research Institute , Wayve AI , and others. Using this formalism, we can now instantiate and compare IFL algorithms (i.e., allocation policies) in a principled way.

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AWS Machine Learning Blog

JULY 15, 2024

In our pipeline, we used Amazon Bedrock to develop a sentence shortening algorithm for automatic time scaling. Here’s the shortened sentence using the sentence shortening algorithm. She is also the recipient of the Best Paper Award at IEEE NetSoft 2016, IEEE ICC 2011, ONDM 2010, and IEEE GLOBECOM 2005. Cristian Torres is a Sr.

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Dataconomy

OCTOBER 27, 2023

Its AI is always keeping track of search engine algorithm changes, too, allowing it to adapt its suggestions based on the changes that Google, Bing, and others make. It’s used that money to create an AI-powered scheduling tool that can optimize the schedules of you and your teammates.

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Explosion

AUGUST 1, 2019

Since this blog post was published, Hugging Face have released an updated and renamed transformers package that now supports both PyTorch and TensorFlow 2. We have updated our library and this blog post accordingly. The spacy-transformers package was previously called spacy-pytorch-transformers.

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AWS Machine Learning Blog

NOVEMBER 9, 2023

This retrieval can happen using different algorithms. Summary We built Amazon CodeWhisperer customization capability based on a mixture of the leading technical techniques discussed in this blog post and evaluated it with user studies on developer productivity, conducted by Persistent Systems.

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ML Review

JUNE 4, 2018

Finally, one can use a sentence similarity evaluation metric to evaluate the algorithm. One such evaluation metric is the Bilingual Evaluation Understudy algorithm, or BLEU score. Source : Britz (2016)[ 62 ] CNNs can encode abstract features from images. 2016)[ 91 ] You et al.

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AWS Machine Learning Blog

SEPTEMBER 11, 2024

This is accomplished by breaking the problem into independent parts so that each processing element can complete its part of the workload algorithm simultaneously. In summary, the Neuron SDK allows developers to easily parallelize ML algorithms, such as those commonly found in FSI.

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AWS Machine Learning Blog

APRIL 18, 2023

To make things easy, these three inputs depend solely on the model name, version (for a list of the available models, see Built-in Algorithms with pre-trained Model Table ), and the type of instance you want to train on. learning_rate – Controls the step size or learning rate of the optimization algorithm during training.

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IBM Journey to AI blog

SEPTEMBER 11, 2023

It leverages machine learning algorithms to continuously learn and adapt to workload patterns, delivering superior performance and reducing administrative efforts. I would like to also thank my coauthors Namik Hrle, Vikram Murali, Haakon Roberts, and Dr. Michael Kwok for their contributions to this blog post.

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AWS Machine Learning Blog

MARCH 29, 2023

Amazon SageMaker provides a suite of built-in algorithms , pre-trained models, and pre-built solution templates to help data scientists and ML practitioners get started on training and deploying ML models quickly. Since 2016 he mentored hundreds of entrepreneurs at startup incubation programs pro-bono.

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Heartbeat

MAY 11, 2023

The first version of YOLO was introduced in 2016 and changed how object detection was performed by treating object detection as a single regression problem. ✨ The algorithm for selecting layers in the model quantizes certain parts to minimize loss of information while ensuring a balance between latency and accuracy. Introducing ?️YOLO-NAS:

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Defined.ai blog

APRIL 10, 2023

Another approach is to use machine learning algorithms, which can learn to identify and categorize named entities from a large corpus of labelled training data. These algorithms can be trained to recognize a wide range of named entities and can handle complex language, making them a more robust and flexible solution for NER.

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Defined.ai blog

APRIL 10, 2023

Another approach is to use machine learning algorithms, which can learn to identify and categorize named entities from a large corpus of labelled training data. These algorithms can be trained to recognize a wide range of named entities and can handle complex language, making them a more robust and flexible solution for NER.

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AWS Machine Learning Blog

APRIL 18, 2023

To make things easy, these three inputs depend solely on the model name, version (for a list of the available models, see Built-in Algorithms with pre-trained Model Table ), and the type of instance you want to train on. learning_rate – Controls the step size or learning rate of the optimization algorithm during training.

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Snorkel AI

FEBRUARY 17, 2023

I share this because it shows where things were in 2016; it was exciting to find one label error. At the time, back in 2016, the MNIST dataset had been cited 30,000 times. How do you train machine learning algorithms generally for any data set? At this time, that was a big deal. And so I was like, hang on a minute.

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Snorkel AI

FEBRUARY 17, 2023

I share this because it shows where things were in 2016; it was exciting to find one label error. At the time, back in 2016, the MNIST dataset had been cited 30,000 times. How do you train machine learning algorithms generally for any data set? At this time, that was a big deal. And so I was like, hang on a minute.

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Snorkel AI

MARCH 1, 2023

It is based on GPT and uses machine learning algorithms to generate code suggestions as developers write. 2016) This paper introduced DCGANs, a type of generative model that uses convolutional neural networks to generate images with high fidelity. Microsoft Microsoft launched its Language Understanding Intelligent Service in 2016.

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Explosion

NOVEMBER 21, 2019

In 2016 we trained a sense2vec model on the 2015 portion of the Reddit comments corpus, leading to a useful library and one of our most popular demos. al, 2015) is a twist on the word2vec family of algorithms that lets you learn more interesting word vectors. That work is now due for an update. accuracy on the task.

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AWS Machine Learning Blog

FEBRUARY 28, 2023

One of the challenges of working with categorical data is that it is not as amenable to being used in many machine learning algorithms. To overcome this, we use one-hot encoding, which converts each category in a column to a separate binary column, making the data suitable for a wider range of algorithms.

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The MLOps Blog

MARCH 14, 2023

To back this up, here is the Nature survey conducted in 2016. enable developers to access any specific version of the model so that they can decide on which algorithm has worked out best for them and with what hyperparameters. Instead, we tend to spend much time on data exploration, preprocessing, and modeling.

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Mlearning.ai

MARCH 2, 2023

This blog post promises to be easier to understand than the underlying research paper, especially for readers not that familiar with the field. In addition, it is known that Google has integrated BERT into its search algorithm to better understand search queries [17]. References [1] Devlin, J., Lee, K., & Toutanova, K. Shazeer, N.,

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Google Research AI blog

JANUARY 18, 2023

Posted by Jeff Dean, Senior Fellow and SVP of Google Research, on behalf of the Google Research community Today we kick off a series of blog posts about exciting new developments from Google Research. Please keep your eye on this space and look for the title “Google Research, 2022 & Beyond” for more articles in the series.

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