Heartbeat

MARCH 14, 2023

By incorporating computer vision methods and algorithms into robots, they are able to view and understand their environment. Object recognition and tracking algorithms include the CamShift algorithm , Kalman filter , and Particle filter , among others.

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Mlearning.ai

MAY 5, 2023

These models, which are based on artificial intelligence and machine learning algorithms, are designed to process vast amounts of natural language data and generate new content based on that data. It wasn’t until the development of deep learning algorithms in the 2000s and 2010s that LLMs truly began to take shape.

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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.

Artificial Intelligence 52

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Mlearning.ai

APRIL 8, 2023

Charting the evolution of SOTA (State-of-the-art) techniques in NLP (Natural Language Processing) over the years, highlighting the key algorithms, influential figures, and groundbreaking papers that have shaped the field. NLP algorithms help computers understand, interpret, and generate natural language.

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Heartbeat

DECEMBER 14, 2023

LeCun received the 2018 Turing Award (often referred to as the "Nobel Prize of Computing"), together with Yoshua Bengio and Geoffrey Hinton, for their work on deep learning. Hinton is viewed as a leading figure in the deep learning community. He co-developed the Lush programming language with Léon Bottou.

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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.,

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Pickl AI

JULY 24, 2024

Turing proposed the concept of a “universal machine,” capable of simulating any algorithmic process. The development of LISP by John McCarthy became the programming language of choice for AI research, enabling the creation of more sophisticated algorithms. Simon, demonstrated the ability to prove mathematical theorems.

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ODSC - Open Data Science

MARCH 22, 2023

Cleanlab is an open-source software library that helps make this process more efficient (via novel algorithms that automatically detect certain issues in data) and systematic (with better coverage to detect different types of issues). Data-centric AI instead asks how we can systematically engineer better data through algorithms/automation.

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Viso.ai

JUNE 12, 2024

Our software helps several leading organizations start with computer vision and implement deep learning models efficiently with minimal overhead for various downstream tasks. Large Language Models – Source In 2018, OpenAI researchers and engineers published an original work on AI-based generative large language models.

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Bugra Akyildiz

JUNE 11, 2023

They have used AutoARIMA algorithm within Statsforecast to measure the accuracy of the predictions. They used this prediction algorithm’s confidence intervals to detect “anomalies”, an example is below: This is nice as they do not have to build a separate anomaly detection algorithm separately. are built-in.

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AI Impacts

FEBRUARY 1, 2023

A faulty brake line on a car is not much of a concern to the public until the car is on public roads, and the facebook feed algorithm cannot be a threat to society until it is used to control what large numbers of people see on their screens. The alignment problem from a deep learning perspective. Norton & Company; 2020.

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NVIDIA

JULY 5, 2023

To make reliable weather predictions and climate projections a reality within power budget limits, we rely on algorithmic improvements and hardware where NVIDIA GPUs are an alternative to CPUs,” said Oliver Fuhrer, head of numerical prediction at MeteoSwiss, the Swiss national office of meteorology and climatology.

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Viso.ai

APRIL 25, 2024

Today’s boom in CV started with the implementation of deep learning models and convolutional neural networks (CNN). Therefore, to do face recognition, the algorithm often runs face verification. 2018) published their research titled MobileFaceNets. Also, to confirm that a physical face matches the one in an ID document.

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Towards AI

JULY 20, 2023

An additional 2018 study found that each SLR takes nearly 1,200 total hours per project. As the capabilities of high-powered computers and ML algorithms have grown, so have opportunities to improve the SLR process. dollars apiece.

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Flipboard

AUGUST 25, 2023

Zhavoronkov has a narrower definition of AI drug discovery, saying it refers specifically to the application of deep learning and generative learning in the drug discovery space. The “deep learning revolution” — a time when development and use of the technology exploded — took off around 2014, Zhavoronkov said.

Machine Learning 123

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Heartbeat

DECEMBER 8, 2023

This includes cleaning and transforming data, performing calculations, or applying machine learning algorithms. LeCun received the 2018 Turing Award (often referred to as the "Nobel Prize of Computing"), together with Yoshua Bengio and Geoffrey Hinton, for their work on deep learning. Meta's chief A.I.

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ODSC - Open Data Science

SEPTEMBER 21, 2023

After all, this is what machine learning really is; a series of algorithms rooted in mathematics that can iterate some internal parameters based on data. This is understandable: a report by PwC in 2018 suggested that 30% of UK jobs will be impacted by automation by the 2030s Will Robots Really Steal Our Jobs?

Machine Learning 98

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Heartbeat

MARCH 15, 2023

An open-source machine learning model called BERT was developed by Google in 2018 for NLP, but this model had some limitations, and due to this, a modified BERT model called RoBERTa (Robustly Optimized BERT Pre-Training Approach) was developed by the team at Facebook in the year 2019. The library can be installed via pip.

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Heartbeat

SEPTEMBER 13, 2023

For example, explainability is crucial if a healthcare professional uses a deep learning model for medical diagnoses. Algorithmic Accountability: Explainability ensures accountability in machine learning and AI systems. It provides insights into model refinement, feature engineering, or algorithmic modifications.

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Artificial Corner

SEPTEMBER 30, 2024

Then there’s Atomwise , which applies its deep learning neural network to predict atomic-level binding affinity—a key step in the drug discovery process that helps find new medications more efficiently and more often. Since 2018, the Da Vinci 5 robotic surgeon has been in use.

Neural Network 65

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Heartbeat

AUGUST 23, 2023

Consider a scenario where legal practitioners are armed with clever algorithms capable of analyzing, comprehending, and extracting key insights from massive collections of legal papers. Algorithms can automatically detect and extract key items. But what if there was a technique to quickly and accurately solve this language puzzle?

NLP 52

NLP Natural Language Processing Algorithm Categorization 52

Dlabs.ai

AUGUST 20, 2020

If you’re looking for the best free eBooks related to artificial intelligence, machine learning, or deep learning – this list is for you. Dive into Deep Learning Authors: Aston Zhang, Zack C. Smola The first eBook on our must-read list is a deep-dive into deep learning.

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Artificial Intelligence Artificial Intelligence Neural Network Deep Learning 52

Heartbeat

JANUARY 29, 2024

Meta-Learning presents a radical departure from conventional approaches by endowing machines with the extraordinary ability to learn how to learn. This article explores Meta-Learning by delving into the cutting-edge algorithms driving its advancements and the diverse applications that redefine machine learning paradigms.

Machine Learning 52

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Marktechpost

JUNE 27, 2023

Machine learning uses statistical analysis to generate prediction output without requiring explicit programming. It employs a chain of algorithms that learn to interpret the relationship between datasets to achieve its goal. Data pattern discovery is the primary application of MLaaS algorithms. between 2018 and 2028.

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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). If you have a large dataset, the SageMaker KNN algorithm may provide you with an effective semantic search.

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AWS Machine Learning Blog

NOVEMBER 8, 2023

The MONAI Deploy App SDK provides ready-to-use algorithms and a framework to accelerate building medical imaging AI applications, as well as utility tools to package the application into a MAP container. A SageMaker multi-model endpoint uses NVIDIA Triton Inference Server with GPU to run multiple deep learning model inferences.

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AWS Machine Learning Blog

AUGUST 16, 2023

Travelers collaborated with the Amazon Machine Learning Solutions Lab (now known as the Generative AI Innovation Center ) to develop this framework to support and enhance aerial imagery model use cases. The images document the land cover, or physical surface features, of ten European countries between June 2017 and May 2018.

Metadata 74

Metadata Data Scientist Generative AI Natural Language Processing 74

Bugra Akyildiz

OCTOBER 6, 2024

Articles (Image is taken from Model Optimization Toolkit page from Tensorflow) Pruning Aware Training Pruning in deep learning refers to the process of removing unnecessary weights or neurons from a neural network to reduce its size and computational requirements while maintaining performance. Extensible : Add new methods! No problem!

Neural Network 52

Neural Network Large Language Models Data Mining Big Data 52

Unite.AI

SEPTEMBER 17, 2024

Cybord's solution addresses these challenges head-on by offering a cutting-edge platform that integrates deep learning and AI to analyze and verify each component used in the assembly of printed circuit boards (PCBA).

Deep Learning 147

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AWS Machine Learning Blog

APRIL 6, 2023

We also demonstrate the performance of our state-of-the-art point cloud-based product lifecycle prediction algorithm. For example, in the 2019 WAPE value, we trained our model using sales data between 2011–2018 and predicted sales values for the next 12 months (2019 sale). We next calculated the MAPE for the actual sales values.

Machine Learning 86

Machine Learning ML Categorization Data Scientist 86

Viso.ai

JULY 9, 2024

Computer vision researchers introduced YOLO architecture (You Only Look Once) as an object-detection algorithm in 2015. It was a single-pass algorithm having only one neural network to predict bounding boxes and class probabilities using a full image as input. The output of the object detection is typically a bounding box and a label.

Computer Vision 52

Computer Vision Neural Network Python Algorithm 52

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

Viso.ai

MAY 20, 2023

The YOLOv7 algorithm is making big waves in the computer vision and machine learning communities. In this article, we will provide the basics of how YOLOv7 works and what makes it the best object detector algorithm available today. in 2018 YOLOv4 model, released by Bochkovskiy et al.

Algorithm 52

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Probably Approximately a Scientific Blog

AUGUST 14, 2018

Since I’ve started this blog 3 years ago, I’ve been refraining from writing about deep learning (DL), with the exception of occasionally discussing a method that uses it, without going into details. It’s a challenge to explain deep learning using simple concepts and without the caveat of remaining at a very high level.

Deep Learning 52

Deep Learning NLP Neural Network Machine Learning 52

Pickl AI

APRIL 10, 2023

As per the recent report by Nasscom and Zynga, the number of data science jobs in India is set to grow from 2,720 in 2018 to 16,500 by 2025. Top 5 Colleges to Learn Data Science (Online Platforms) 1. The amount increases with experience and varies from industry to industry.

Data Science 52

Data Science Data Scientist Python Machine Learning 52

PyImageSearch

NOVEMBER 13, 2023

Home Table of Contents Faster R-CNNs Object Detection and Deep Learning Measuring Object Detector Performance From Where Do the Ground-Truth Examples Come? One of the most popular deep learning-based object detection algorithms is the family of R-CNN algorithms, originally introduced by Girshick et al.

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Heartbeat

FEBRUARY 6, 2023

How do Object Detection Algorithms Work? There are two main categories of object detection algorithms. Two-Stage Algorithms: Two-stage object detection algorithms consist of two different stages. Single-stage object detection algorithms do the whole process through a single neural network model.

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