Dataconomy

JULY 18, 2023

Object clustering and assembly is a behavior that allows the swarm of robots to manipulate objects distributed in the environment. By clustering and assembling these objects, the swarm can engage in construction processes or accomplish specific tasks that require collaborative object manipulation.

Algorithm 172

Algorithm Clustering Artificial Intelligence Artificial Intelligence 172

Precisely

DECEMBER 6, 2023

The European Union’s General Data Protection Regulation (commonly known as GDPR) came into effect on the 25th May 2018. The number crunching statistical routines used to build these systems cluster neighborhoods of similar types together, revealing a national social taxonomy.

Clustering 64

Clustering 64

Iguazio

SEPTEMBER 20, 2023

20 Newsgroups A dataset containing roughly 20,000 newsgroup documents spanning a variety of topics, for text classification, text clustering and similar ML applications. million articles from 20,000 news sources across a seven day period in 2017 and 2018. Get the dataset here. Long-Form Content 14. Get the dataset here.

Machine Learning 96

Machine Learning Machine Learning Database Data Scientist 96

IBM Journey to AI blog

MAY 12, 2023

According to the IT Sustainability Beyond the Data Center report from the IBM Institute for Business Value, some estimates suggest that there has been a 43% absolute increase in the power capacity demand by data center operators between 2018 and 2021, and that the global data center market will grow by more than 30% between 2021 and 2027.

Azure 93

Azure Database Clustering Data Visualization 93

Hacker News

NOVEMBER 3, 2024

The very shape of Mycobacteria also presents a challenge; they look like long rods and cluster together to form “ cords.” ” The bacteria also cluster sideways, thickening the cords, and making it so any bacteria sheltering near the middle of the cluster are shielded from drugs.

Machine Learning 142

Machine Learning Machine Learning Clustering Algorithm 142

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.

Internet of Things 156

Internet of Things Azure AWS Cloud Computing 156

AWS Machine Learning Blog

FEBRUARY 10, 2023

Quantitative evaluation We utilize 2018–2020 season data for model training and validation, and 2021 season data for model evaluation. As an example, in the following figure, we separate Cover 3 Zone (green cluster on the left) and Cover 1 Man (blue cluster in the middle). Each season consists of around 17,000 plays.

ML 91

ML ML Machine Learning Machine Learning 91

AWS Machine Learning Blog

SEPTEMBER 11, 2024

The following figure illustrates the idea of a large cluster of GPUs being used for learning, followed by a smaller number for inference. In 2018, other forms of PBAs became available, and by 2020, PBAs were being widely used for parallel problems, such as training of NN.

AWS 113

AWS ML ML Clustering 113

Flipboard

JULY 10, 2023

By using our mathematical notation, the entire training process of the autoencoder can be written as follows: Figure 2 demonstrates the basic architecture of an autoencoder: Figure 2: Architecture of Autoencoder (inspired by Hubens, “Deep Inside: Autoencoders,” Towards Data Science , 2018 ).

Deep Learning 132

Deep Learning Deep Learning Machine Learning Machine Learning 132

Mlearning.ai

APRIL 8, 2023

2018) “ Language models are few-shot learners ” by Brown et al. 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

Hacker News

MARCH 20, 2023

In 2012, with the permission of the police, Janette used a magnifying glass to find where several hairs came together in a cluster. In 2018, Guanchen Li and Jeremy Austin, also at the University of Adelaide, obtained the entire mitochondrial genome from hair-root material and narrowed down the maternal haplotype to H4a1a1a.

Database 182

Database Clustering AI AI 182

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., 2018; Sitawarin et al., 2018; Papernot et al., 2018; Pang et al., 2012; Otsu, 1979; Long et al., For instance, Xu et al. Another study by Jin et al.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

Flipboard

OCTOBER 16, 2023

Nagle’s brain implant, developed by the research consortium BrainGate , contained a “Utah” array, a cluster of 100 spiky electrodes that is surgically embedded into the brain. But according to Hirobumi Watanabe, who led Neuralink’s intravascular research team in 2018, the main reason was the company’s obsession with maximizing bandwidth.

AI 181

AI AI Artificial Intelligence Artificial Intelligence 181

Pickl AI

DECEMBER 2, 2024

According to a report by Statista, the global data sphere is expected to reach 180 zettabytes by 2025 , a significant increase from 33 zettabytes in 2018. Processing frameworks like Hadoop enable efficient data analysis across clusters. Introduction In today’s digital age, the volume of data generated is staggering.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

NOVEMBER 25, 2024

According to a report by Statista, the global data sphere is expected to reach 180 zettabytes by 2025 , a significant increase from 33 zettabytes in 2018. Processing frameworks like Hadoop enable efficient data analysis across clusters. Introduction In today’s digital age, the volume of data generated is staggering.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Mlearning.ai

JUNE 8, 2023

Clustering  — we can cluster our sentences, useful for topic modeling. SentenceBERT: Currently, the leader among the pack, SentenceBERT was introduced in 2018 and immediately took the pole position for Sentence Embeddings. The article is clustering “Fine Food Reviews” dataset. The new model offers: 90%-99.8%

Machine Learning 52

Machine Learning Machine Learning Clustering Database 52

Pickl AI

MAY 16, 2023

Skilled in programming languages such as Python, R, and SQL, and have worked on various projects involving predictive modeling, clustering, and classification. Passionate about leveraging data to drive business decisions and improve customer experience.

Data Scientist 52

Data Scientist Data Science SQL Python 52

Mlearning.ai

JANUARY 17, 2024

Traditional AI can recognize, classify, and cluster, but not generate the data it is trained on. The foundations for today’s generative language applications were elaborated in the 1990s ( Hochreiter , Schmidhuber ), and the whole field took off around 2018 ( Radford , Devlin , et al.). Let’s play the comparison game.

AI 98

AI AI Deep Learning Deep Learning 98

AWS Machine Learning Blog

APRIL 19, 2023

Since 2018, our team has been developing a variety of ML models to enable betting products for NFL and NCAA football. Then we needed to Dockerize the application, write a deployment YAML file, deploy the gRPC server to our Kubernetes cluster, and make sure it’s reliable and auto scalable. We recently developed four more new models.

ML 95

ML ML Deep Learning Deep Learning 95

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. The largest of the other nodes linked to this team is Froome’s future super domestique turned 2018 winner (and 2019 runner up), Geraint Thomas. Visualizing the Tour de France: the early years Hmmmm.

Clustering 52

Clustering Data Visualization 52

Explosion

MAY 17, 2023

For instance, you could extract a few noisy metrics, such as a general “positivity” sentiment score that you track in a dashboard, while you also produce more nuanced clustering of the posts which are reviewed periodically in more detail. You might want to view the data in a variety of ways.

Supervised Learning 135

Supervised Learning Natural Language Processing Clustering Machine Learning 135

AWS Machine Learning Blog

MAY 2, 2023

There are a few limitations of using off-the-shelf pre-trained LLMs: They’re usually trained offline, making the model agnostic to the latest information (for example, a chatbot trained from 2011–2018 has no information about COVID-19). They’re mostly trained on general domain corpora, making them less effective on domain-specific tasks.

Algorithm 101

Algorithm Machine Learning Machine Learning Natural Language Processing 101

Snorkel AI

MARCH 21, 2023

In 2018, we did a piece of research where we tried to estimate the value of AI and machine learning across geographies, across use cases, and across sectors. One is compared to our first survey conducted in 2018, we see more enterprises investing in AI capability. Firstly, what is the state of the industry?

ML 52

ML ML AI AI 52

AWS Machine Learning Blog

JANUARY 13, 2023

Finally, monitor and track the FL model training progression across different nodes in the cluster using the weights and biases (wandb) tool, as shown in the following screenshot. 2018): 1-13. [2] Please follow the steps listed here to install wandb and setup monitoring for this solution. Reference. [1] 1] Pollard, Tom J.,

AWS 97

AWS Analytics Analytics Machine Learning 97

O'Reilly Media

NOVEMBER 28, 2023

The top five responses clustered between 45 and 50%: unexpected outcomes (49%), security vulnerabilities (48%), safety and reliability (46%), fairness, bias, and ethics (46%), and privacy (46%). We haven’t found the source, though in 2018, Gartner wrote that 85% of AI projects “deliver erroneous outcomes.” We expect others to follow.

AI 111

AI AI Data Analysis Data Analysis 111

Google Research AI blog

FEBRUARY 28, 2023

For example, supporting equitable student persistence in computing research through our Computer Science Research Mentorship Program , where Googlers have mentored over one thousand students since 2018 — 86% of whom identify as part of a historically marginalized group.

ML 72

ML ML Deep Learning Deep Learning 72

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. Natural language processing and machine learning as practical toolsets for archival processing.

Natural Language Processing 52

Natural Language Processing Algorithm Artificial Intelligence Artificial Intelligence 52

Mlearning.ai

FEBRUARY 28, 2023

In 2018–2019, while new car sales were recorded at 3.6 The next step post that would be to cluster different sets of data and see if multiple models should be created for different locations and car types. For this reason, Cars4U was created as a budding tech start-up that aims to find footholds in this market.

Python 52

Python EDA Exploratory Data Analysis Data Analysis 52

PyImageSearch

JULY 3, 2023

Figure 3: Netflix personalized home page view (source: “NETFLIX System Design,” Medium , 2018 ). Users are grouped into small clusters based on their viewing history to obtain context-only features. The cluster assignments, along with the query, are then used as personalized context features. Each row has a title (e.g.,

Deep Learning 52

Deep Learning Deep Learning Algorithm Machine Learning 52

Hacker News

JANUARY 9, 2024

but with things like clustering). We’ve had ExternalEvaluate for evaluating Python code since 2018. Alongside it have also come Wolfram Application Server and Wolfram Web Engine , which provide more streamlined support specifically for APIs (without things like user management, etc., Let’s start with Python.

Python 181

Python Algorithm Machine Learning Machine Learning 181

ODSC - Open Data Science

JULY 11, 2023

For HPC, it’s possible to use a cluster of powerful workstations or servers, each with multiple processors and large amounts of memory. Edwards J, 7 things to know about AI in the data center, CIO December 20, 2018 8. Roose K, A Conversation With Bing’s Chatbot Left Me Deeply Unsettled, on [link] 6. On [link] 9.

Data Lakes 40

Data Lakes AI AI Cloud Computing 40

ML Review

MARCH 5, 2019

Well, actually, you’ll still have to wonder because right now it’s just k-mean cluster colour, but in the future you won’t). Within both embedding pages, the user can choose the number of embeddings to show, how many k-mean clusters to split these into, as well as which embedding type to show. Bojanowski, P., TACL, 5, 135–146.

AI 40

AI AI Clustering Machine Learning 40

Tableau

DECEMBER 1, 2021

Clustered under visual encoding , we have topics of self-service analysis , authoring , and computer assistance. April 2018), which focused on users who do understand joins and curating federated data sources. Gestalt properties including clusters are salient on scatters. Let’s take a look at each. . Query innovation.

Tableau 145

Tableau ML ML Database 145

Tableau

DECEMBER 1, 2021

Clustered under visual encoding , we have topics of self-service analysis , authoring , and computer assistance. April 2018), which focused on users who do understand joins and curating federated data sources. Gestalt properties including clusters are salient on scatters. Let’s take a look at each. . Query innovation.

Tableau 98

Tableau ML ML Database 98

Flipboard

NOVEMBER 24, 2023

Since joining SnapLogic in 2010, Greg has helped design and implement several key platform features including cluster processing, big data processing, the cloud architecture, and machine learning. Greg has published research in the areas of operating systems, parallel computing, and distributed systems.

Database 158

Database AWS ETL SQL 158

AWS Machine Learning Blog

JANUARY 17, 2024

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. He retired from EPFL in December 2016.nnIn Use the `split` function to split each sentence into a list of words.n- Nitin Eusebius is a Sr.

AWS 134

AWS Python Machine Learning Machine Learning 134

Flipboard

APRIL 13, 2023

Second, customers want integration into applications to be seamless, without having to manage huge clusters of infrastructure or incur large costs. In 2018, we announced Inferentia, the first purpose-built chip for inference.

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AWS AI AI ML 182