DataRobot

DECEMBER 20, 2021

In 2020, our team launched DataRobot Visual AI. Multimodal Clustering. Multimodal Clustering provides users with a one-click, one line-of-code experience to build and deploy clustering models on any data, including images. Image recognition has a lot of applications in industries and businesses. DataRobot Visual AI.

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Clustering Deep Learning Deep Learning Exploratory Data Analysis 97

DataCentric podcast

FEBRUARY 3, 2020

They also recently showed off a full HCI cluster running on an Intel NUC. Links: Steve's Forbes Column on Scale Computing Moor Insights & Strategy Qualitative Report of Scale Computing's HC3 HCI Solution Scale Computing's January 2020 Announcement of 2019 Performance Scale Computing is a pioneer in HCI (inventing, in fact, the very term).

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Clustering 40

Flipboard

APRIL 6, 2023

A pitch deck for Anthropic’s Series C fundraising round discloses these and other long-term goals for the company, which was founded in 2020 by former OpenAI researchers. “These models could begin to automate large portions of the economy,” the pitch deck reads.

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AI AI Clustering Algorithm 174

Hacker News

NOVEMBER 15, 2023

The Story of the Name Patrick Lewis, lead author of the 2020 paper that coined the term , apologized for the unflattering acronym that now describes a growing family of methods across hundreds of papers and dozens of commercial services he believes represent the future of generative AI.

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Database AI AI Natural Language Processing 181

Flipboard

APRIL 4, 2023

The standard cells are then collected into clusters to help speed up the training process. Recall that, as a preprocessing step, the reinforcement learning method gathers up the standard cells into clusters. Circuit Training then starts placing the macros on the chip “canvas” one at a time.

EDA 170

EDA Algorithm Clustering Machine Learning 170

ODSC - Open Data Science

MAY 30, 2023

For example, rising interest rates and falling equities already in 2013 and again in 2020 and 2022 led to drawdowns of risk parity schemes. In 2023-Q1, we even saw failing banks like SVB simply because of investments in “safe” treasury bonds.

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ML ML Machine Learning Machine Learning 52

Defined.ai blog

OCTOBER 9, 2022

Fight sophisticated cyber attacks with AI and ML When “virtual” became the standard medium in early 2020 for business communications from board meetings to office happy hours, companies like Zoom found themselves hot in demand. They also became prime targets for the next big cyberattack.

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Artificial Intelligence Artificial Intelligence ML ML 52

IBM Journey to AI blog

JULY 28, 2023

Since its launch in 2020, DATA ONE has been successfully adopted by multinational companies across sectors, including insurance and banking, automotive, energy and utilities, manufacturing, logistics and telco. Nodes are grouped together in homogeneous clusters, but different clusters can be optimized for different types of workloads.

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Clustering 62

Dataconomy

APRIL 26, 2023

The strategic value of IoT development and data analytics Sierra Wireless Sierra Wireless , a wireless communications equipment designer and service provider, has been honing its focus on IoT software and managed services following its acquisition of M2M Group, a cluster of companies dedicated to IoT connectivity, in 2020.

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Internet of Things Azure AWS Cloud Computing 156

Smart Data Collective

APRIL 8, 2020

In fact, studies by the Gigabit Magazine depict that the amount of data generated in 2020 will be over 25 times greater than it was 10 years ago. sThe recent years have seen a tremendous surge in data generation levels , characterized by the dramatic digital transformation occurring in myriad enterprises across the industrial landscape.

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Data Warehouse Big Data Big Data Business Intelligence 134

AWS Machine Learning Blog

MAY 23, 2023

Fargate is a technology that you can use with Amazon ECS to run containers without having to manage servers or clusters or virtual machines. On the Amazon ECS console, you can see the clusters on the Clusters page. Model data is stored on Amazon Simple Storage Service (Amazon S3) in the JumpStart account. for the full code.

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AWS AI AI ML 92

Smart Data Collective

SEPTEMBER 13, 2020

Keep in mind that big data drives search engines in 2020. It’s a bad idea to link from the same domain, or the same cluster of domains repeatedly. Big data is critical for linkbuilding in 2020. Offsite tactics, like link building, are designed to increase the relative trustworthiness of your site. Determine the quality of links.

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Analytics Analytics Big Data Big Data 100

AWS Machine Learning Blog

MAY 25, 2023

in 2020 as a model where parametric memory is a pre-trained seq2seq model and the non-parametric memory is a dense vector index of Wikipedia, accessed with a pre-trained neural retriever. RAG models were introduced by Lewis et al. Each node also uses Python multiprocessing to internally also parallelize the file processing.

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AWS Clustering Python ML 76

IBM Journey to AI blog

DECEMBER 14, 2023

It allows to authenticate without API key or password, but based on well-defined other criteria like a specific compute resource (virtual machine, Kubernetes cluster and namespace). As German and European, I especially like the new support for the BSI C5:2020 security profile. Yet another security feature is a trusted profile.

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AI AI Clustering 72

Mlearning.ai

APRIL 8, 2023

2020) “GPT-4 Technical report ” by Open AI. Efficient Large-Scale Language Model Training on GPU Clusters Using Megatron-LM ” by Deepak Narayanan et al. Use Cases :Language Modeling, Question Answering, Text Generation Significant papers: “Attention is all you need” by Vaswani et al.

Natural Language Processing 98

Natural Language Processing Algorithm Machine Learning Machine Learning 98

Cambridge Intelligence

JUNE 28, 2023

It’s a busy chart, but I’m drawn to the cluster of larger team nodes in the top left. It was a fantastic battle with Jumbo-Visma’s Jonas Vingegaard from Denmark beating Slovenian UAE rider and 2020 champion, Tadej Pogačar. Visualizing the Tour de France: the early years Hmmmm. Data from procyclingstats.com and letour.fr

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Clustering Data Visualization 52

AWS Machine Learning Blog

APRIL 5, 2024

Among these models, the spatial fixed effect model yielded the highest mean R-squared value, particularly for the timeframe spanning 2014 to 2020. SageMaker Processing enables the flexible scaling of compute clusters to accommodate tasks of varying sizes, from processing a single city block to managing planetary-scale workloads.

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Clustering ML ML AWS 105

Flipboard

APRIL 11, 2023

In 2022, security wasn’t in the news as often as it was in 2020 and 2021. Some alternatives have appeared, including managed Kubernetes, where you delegate management of your cluster to a third party, typically your cloud provider; HashiCorp’s Nomad ; K3S , a lightweight Kubernetes; and even some older tools like Docker Swarm.

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Database Python Clustering SQL 134

Heartbeat

JANUARY 5, 2024

Image by Author Large Language Models (LLMs) entered the spotlight with the release of OpenAI’s GPT-3 in 2020. Document Retrieval and Clustering: LangChain can simplify retrieval and clustering using embedding models. We have seen exploding interest in LLMs and in a broader discipline, Generative AI. models by OpenAI.

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AI AI Data Pipeline Deep Learning 52

IBM Data Science in Practice

JANUARY 4, 2023

Temperature observation at 1pm UTC on June 15, 2020 Wind speed observation at 1pm UTC on June 15, 2020 Data usage Most of our clients use weather data as a variable in their linear regression model and other machine learning models. June 2020 is ~540 GB). Please, note the projection issue was left out for simplicity.

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Analytics Analytics Python Clustering 130

AWS Machine Learning Blog

NOVEMBER 22, 2023

When AWS launched purpose-built accelerators with the first release of AWS Inferentia in 2020, the M5 team quickly began to utilize them to more efficiently deploy production workloads , saving both cost and reducing latency. Like many ML organizations, accelerators are largely used to accelerate DL training and inference.

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AWS ML ML Deep Learning 94

Pickl AI

JULY 18, 2023

Explore topics such as regression, classification, clustering, neural networks, and natural language processing. billion in 2020. Learn Machine Learning and Deep Learning Deepen your understanding of machine learning algorithms, statistical modelling, and deep learning architectures. to reach US$ 7.8 billion by 2025 from US$ 3.1

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AI AI Machine Learning Machine Learning 52

KDnuggets

JANUARY 14, 2020

Learn the basics of verifying segmentation, analyzing the data, and creating segments in this tutorial. When reviewing survey data, you will typically be handed Likert questions (e.g., on a scale of 1 to 5), and by using a few techniques, you can verify the quality of the survey and start grouping respondents into populations.

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Clustering 148

Heartbeat

AUGUST 23, 2023

These algorithms help legal professionals swiftly discover essential information, speed up document review, and assure comprehensive case analysis through approaches such as document clustering and topic modeling. Here are some resources for more information: Hutchinson, T. Records Management Journal , 30 (2), 155–174.

Natural Language Processing 52

Natural Language Processing Algorithm Artificial Intelligence Artificial Intelligence 52

Mlearning.ai

OCTOBER 14, 2023

HPC clusters have been coming to the attention of people to do their training on them and they tend to use those major frameworks and target nodes with more than one GPU. arXiv preprint arXiv:2012.00825 (2020). [2] ABCI supercomputer ( Japan ): consisting of 1088 nodes of FUJITSU server PRIMERGY CX2570 M4.

Deep Learning 52

Deep Learning Deep Learning Clustering AI 52

AWS Machine Learning Blog

JUNE 7, 2023

In early 2020, research organizations across the world set the emphasis on model size, observing that accuracy correlated with number of parameters. For example, GPT-3 (2020) and BLOOM (2022) feature around 175 billion parameters, Gopher (2021) has 230 billion parameters, and MT-NLG (2021) 530 billion parameters.

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Clustering AWS Machine Learning Machine Learning 90

AWS Machine Learning Blog

AUGUST 14, 2023

Answer: 2021 ### Context: NLP Cloud developed their API by mid-2020 and they added many pre-trained open-source models since then. His research interests are in the area of natural language processing, explainable deep learning on tabular data, and robust analysis of non-parametric space-time clustering.

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AWS Natural Language Processing Machine Learning Machine Learning 71

AssemblyAI

JULY 18, 2023

Building on In-House Hardware Conformer-2 was trained on our own GPU compute cluster of 80GB-A100s. To do this, we deployed a fault-tolerant and highly scalable cluster management and job scheduling Slurm scheduler, capable of managing resources in the cluster, recovering from failures, and adding or removing specific nodes.

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Clustering Supervised Learning AI AI 98

AWS Machine Learning Blog

MAY 2, 2023

in 2020 as a model where parametric memory is a pre-trained seq2seq model and the non-parametric memory is a dense vector index of Wikipedia, accessed with a pre-trained neural retriever. RAG retrieves data from outside the language model (non-parametric) and augments the prompts by adding the relevant retrieved data in context.

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Algorithm Machine Learning Machine Learning Natural Language Processing 75

IBM Journey to AI blog

SEPTEMBER 13, 2023

Since 2020, Ubotica has been providing space AI capabilities to the European Space Agency and NASA JPL. The initial install is a Red Hat OpenShift Kubernetes Service (ROKS) cluster , on which Ubotica will be deploying components to create a hybrid cloud AI platform.

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AI AI Clustering Cloud Data 104

Snorkel AI

APRIL 11, 2023

First, “Selection via Proxy,” which appeared in ICLR 2020. And please see our work, our paper “Selection via Proxy” from ICLR 2020 for more details on core-set selection, as well as all of the other datasets and methods that we tried there. I was super fortunate to work with amazing researchers from Stanford on this.

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K-nearest Neighbors Clustering Deep Learning Deep Learning 52

Snorkel AI

APRIL 11, 2023

First, “Selection via Proxy,” which appeared in ICLR 2020. And please see our work, our paper “Selection via Proxy” from ICLR 2020 for more details on core-set selection, as well as all of the other datasets and methods that we tried there. I was super fortunate to work with amazing researchers from Stanford on this.

K-nearest Neighbors 52

K-nearest Neighbors Clustering Deep Learning Deep Learning 52

Snorkel AI

APRIL 11, 2023

First, “Selection via Proxy,” which appeared in ICLR 2020. And please see our work, our paper “Selection via Proxy” from ICLR 2020 for more details on core-set selection, as well as all of the other datasets and methods that we tried there. I was super fortunate to work with amazing researchers from Stanford on this.

K-nearest Neighbors 52

K-nearest Neighbors Clustering Deep Learning Deep Learning 52

Pickl AI

APRIL 9, 2023

The cloud analytics segment is showing a maximum growth rate of 23% As per the Drawing from Dresner’s 2020 report on business intelligence and cloud computing, around 54% believe implementing Cloud Business Intelligence tools is critical. Key Statistics on The Use of Power BI The global BI market is expected to reach $43.03 billion by 2028.

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Power BI Business Intelligence Business Intelligence Cloud Computing 52

Tableau

MARCH 4, 2021

I’ve never seen so many people so fixated on a cluster of charts,” notes Amanda Makulec. “At And as the pandemic dominated every aspect of our lives in 2020, there seemed to be a corresponding chart to go with it. The Human face of data is part one of a three-part series: Data in the time of COVID-19: What have we learned? __.

Data Visualization 104

Data Visualization Tableau Clustering Data Scientist 104

PyImageSearch

JULY 3, 2023

Figure 2: Multi-dimensionality of Netflix recommendation system (source: Basilico, “Recent Trends in Personalization at Netflix,” NeurIPS , 2020 ). Figure 10: How contextual bandits work (source: Hardy, “Next-Best-Action Recommendation,” Ambiata, 2020 ). And it goes on to personalize title images, trailers, metadata, synopsis, etc.

Deep Learning 52

Deep Learning Deep Learning Algorithm Machine Learning 52

Applied Data Science

AUGUST 2, 2021

They bring deep expertise in machine learning , clustering , natural language processing , time series modelling , optimisation , hypothesis testing and deep learning to the team. The most common data science languages are Python and R   —  SQL is also a must have skill for acquiring and manipulating data.

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Data Science Data Scientist Data Analyst ML 130