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

Flipboard

OCTOBER 16, 2023

It’s mostly about the bandwidth, the speed of the connection between your brain and the digital version of yourself, particularly output,” he said in 2017. 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.

AI 181

AI AI Artificial Intelligence Artificial Intelligence 181

IBM Journey to AI blog

APRIL 5, 2023

This partnership allows the public healthcare cluster to remain agile and navigate ongoing changes in compliance and technology. It also standardised policies on compensation and benefits, performance reviews and career development throughout the healthcare cluster.

Clustering 60

Clustering Data Governance 60

IBM Journey to AI blog

NOVEMBER 2, 2023

Borg’s large-scale cluster management system essentially acts as a central brain for running containerized workloads across its data centers. Omega took the Borg ecosystem further, providing a flexible, scalable scheduling solution for large-scale computer clusters. Control plane nodes , which control the cluster.

Clustering 108

Clustering Cloud Computing AWS 108

Explosion

AUGUST 3, 2017

— Richard Socher (@RichardSocher) March 10, 2017 The beauty of ML is that the complexity of the final system comes much from the data than from the human-written code. — Andrew Ng (@AndrewYNg) July 7, 2017 Unsupervised algorithms return meaning representations, based on the internal structure of the data.

Supervised Learning 52

Supervised Learning Python Machine Learning Machine Learning 52

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

Cambridge Intelligence

OCTOBER 19, 2023

” First release: 2017 Format: An open-source, hosted, native, property and RDF graph database Top 3 advantages: Built for cloud – Neptune is fully managed by AWS, meaning you can leave infrastructure challenges, updates, backups and other admin tasks to them.

Database 59

Database Azure SQL AWS 59

PyImageSearch

JULY 3, 2023

Figure 7: Different artwork images for the Netflix show: Stranger Things (source: Chandrashekar, Amat, Basilico, and Jebara, “Artwork Personalization at Netflix,” Netflix Technology Blog , 2017 ). Artwork Personalization at Netflix,” Netflix Technology Blog , 2017 ). Figure 9: Regret in batch-based machine learning.

Deep Learning 52

Deep Learning Deep Learning Algorithm Machine Learning 52

PyImageSearch

OCTOBER 30, 2023

Spotify also establishes a taste profile by grouping the music users often listen into clusters. These clusters are not based on explicit attributes (e.g., text mining, K-nearest neighbor, clustering, matrix factorization, and neural networks). Figure 3: How Spotify’s Discover Weekly works (source: Huq and Irvine, 2019 ).

K-nearest Neighbors 67

K-nearest Neighbors Algorithm Clustering Machine Learning 67

Mlearning.ai

MAY 23, 2023

We have the IPL data from 2008 to 2017. How to find the most dominant colors in an image using KMeans clustering In this blog, we will find the most dominant colors in an image using the K-means clustering algorithm , this is a very interesting project and personally one of my favorites because of its simplicity and power.

Machine Learning 52

Machine Learning Machine Learning K-nearest Neighbors Python 52

Mlearning.ai

MAY 21, 2023

We have the IPL data from 2008 to 2017. How to find the most dominant colors in an image using KMeans clustering In this blog, we will find the most dominant colors in an image using the K-means clustering algorithm , this is a very interesting project and personally one of my favorites because of its simplicity and power.

Machine Learning 52

Machine Learning Machine Learning K-nearest Neighbors Python 52

AWS Machine Learning Blog

FEBRUARY 10, 2023

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). We design an algorithm that automatically identifies the ambiguity between these two classes as the overlapping region of the clusters. Gomez, Łukasz Kaiser, and Illia Polosukhin.

ML 66

ML ML Machine Learning Machine Learning 66

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., 2012; Otsu, 1979; Long et al., 2015; Huang et al., an image) with the intention of causing a machine learning model to misclassify it (Goodfellow et al., 7288–7296).

Deep Learning 52

Deep Learning Deep Learning Algorithm Machine Learning 52

Mlearning.ai

DECEMBER 21, 2023

MTEB Leaderboard at Hugging Face evaluates almost all available embedding models across seven use cases —  Classification, Clustering, Pair Classification, Reranking, Retrieval, Semantic Textual Similarity (STS) and Summarization. However, now they recommend ada v2 for all tasks. Another important consideration is cost.

Database 94

Database AI AI Machine Learning 94

Mlearning.ai

JUNE 6, 2023

We have the IPL data from 2008 to 2017. Most dominant colors in an image using KMeans clustering In this blog, we will find the most dominant colors in an image using the K-Means clustering algorithm, this is a very interesting project and personally one of my favorites because of its simplicity and power.

Machine Learning 52

Machine Learning Machine Learning Python Deep Learning 52

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. S., & Dean, J. In NIPS (pp.

AI 40

AI AI Clustering Machine Learning 40

Snorkel AI

MARCH 31, 2023

Training a tens- or hundreds-billion parameter model, using close to a terabyte worth of data, pretty much requires a dedicated supercomputer scale cluster for weeks or months. So in this talk, I’d like to share with you what we find as a practical approach to deliver enterprise value with foundation models.

Deep Learning 52

Deep Learning Deep Learning AI AI 52

Snorkel AI

MARCH 31, 2023

Training a tens- or hundreds-billion parameter model, using close to a terabyte worth of data, pretty much requires a dedicated supercomputer scale cluster for weeks or months. So in this talk, I’d like to share with you what we find as a practical approach to deliver enterprise value with foundation models.

Deep Learning 52

Deep Learning Deep Learning AI AI 52

Hacker News

JANUARY 9, 2024

We’ve had the ability to do global computations about solar eclipses for some time (actually since soon before the 2017 eclipse ). but with things like clustering). But in this case there was a very specific deadline: the total solar eclipse visible from the US on April 8, 2024.

Python 181

Python Algorithm Machine Learning Machine Learning 181

The MLOps Blog

DECEMBER 28, 2022

Organization Acquia Industry Software-as-a-service Team size Acquia built an ML team five years ago in 2017 and has a team size of 6. Team composition The team comprises data pipeline engineers, ML engineers, full-stack engineers, and data scientists.

ML 78

ML ML Data Scientist Machine Learning 78

Flipboard

NOVEMBER 24, 2023

The humble beginnings with Iris In 2017, SnapLogic unveiled Iris, an industry-first AI-powered integration assistant. 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.

Database 112

Database AWS ETL SQL 112

Tableau

DECEMBER 1, 2021

Clustered under visual encoding , we have topics of self-service analysis , authoring , and computer assistance. Gestalt properties including clusters are salient on scatters. May 2017), which was Tableau’s first exploration of Machine Learning (ML) technology to provide computer assistance. Let’s take a look at each. .

Tableau 144

Tableau ML ML Database 144

Tableau

DECEMBER 1, 2021

Clustered under visual encoding , we have topics of self-service analysis , authoring , and computer assistance. Gestalt properties including clusters are salient on scatters. May 2017), which was Tableau’s first exploration of Machine Learning (ML) technology to provide computer assistance. Let’s take a look at each. .

Tableau 98

Tableau ML ML Database 98

PyImageSearch

MAY 1, 2023

Redmon and Farhadi (2017) published YOLOv2 at the CVPR Conference and improved the original model by incorporating batch normalization, anchor boxes, and dimension clusters. It quickly gained popularity due to its high speed and accuracy. The authors continued from there. And then came the YOLO model wave. Yes, you read it right!

Deep Learning 107

Deep Learning Deep Learning Python Algorithm 107

The MLOps Blog

JUNE 5, 2023

It’s built on top of the transformer architecture that was released by Google in 2017, but GPT-3 and ChatGPT are sort of proprietary incarnations of that from OpenAI. Environments that can’t have a GPU – you can’t carry a cluster around in your phone or whatever it is, or wherever you are to do everything.

ML 52

ML ML Machine Learning Machine Learning 52