PyImageSearch

JANUARY 30, 2023

This last blog of the series will cover the benefits, applications, challenges, and tradeoffs of using deep learning in the education sector. To learn about Computer Vision and Deep Learning for Education, just keep reading. Task Automation AI software can easily handle repetitive, manual tasks (e.g.,

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Dataconomy

FEBRUARY 20, 2025

This is the goal behind Neurosymbolic AI , a new approach that merges deep learning with coherence-driven inference (CDI). By developing an algorithm that transforms natural language propositions into structured coherence graphs, the researchers benchmark AI models’ ability to reconstruct logical relationships.

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Flipboard

DECEMBER 17, 2023

Researchers have taken photographs of children’s retinas and screened them using a deep learning AI algorithm to diagnose autism with 100% accuracy. …

Deep Learning 181

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Flipboard

NOVEMBER 6, 2024

We developed and validated a deep learning model designed to identify pneumoperitoneum in computed tomography images. Delays or misdiagnoses in detecting pneumoperitoneum can significantly increase mortality and morbidity. CT scans are routinely used to diagnose pneumoperitoneum.

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Flipboard

JANUARY 8, 2024

Researchers have developed a deep learning-based AI algorithm that automatically analyzes chest X-rays to rapidly detect COVID-19 infection with more …

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Flipboard

NOVEMBER 2, 2023

Two researchers from the University of Cambridge have developed a deep-learning algorithm that could make it easier, faster, and cheaper to identify energy-wasting homes — a significant source of greenhouse gas emissions. Trained on open-source data including energy performance certificates and …

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Dataconomy

APRIL 21, 2025

Natural language processing (NLP) is a fascinating field at the intersection of computer science and linguistics, enabling machines to interpret and engage with human language. Current approaches Modern NLP has seen a notable shift toward deep learning techniques and the use of large datasets.

Natural Language Processing 91

Natural Language Processing Deep Learning Deep Learning Computer Science 91

DrivenData Labs

APRIL 10, 2024

The winning teams drew on a diverse set of approaches to data, algorithms, and everything in between. Guy, Yonatan and Chen received their PhD in computer science some 20 years ago, while Irena is catching up to them these days. in computer science. He is a Kaggle grandmaster.

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Computer Science Computer Science Machine Learning Machine Learning 264

IBM Journey to AI blog

JULY 6, 2023

These computer science terms are often used interchangeably, but what differences make each a unique technology? To keep up with the pace of consumer expectations, companies are relying more heavily on machine learning algorithms to make things easier. Machine learning is a subset of AI.

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PyImageSearch

JANUARY 20, 2025

This algorithm takes advantage of the frequency of occurrence of each data item (e.g., Huffman encoding is a prime example of a lossless compression algorithm. Huffman encoding is a widely used lossless data compression algorithm. Or requires a degree in computer science? Join me in computer vision mastery.

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Deep Learning Deep Learning Algorithm Computer Science 113

Flipboard

APRIL 24, 2025

MIT LIDS researchers have developed a new way of approaching complex problems such as coordinating complicated interactive systems, using simple diagrams as a tool to reveal better approaches to software optimization in deep learning models.

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Data Science Dojo

JULY 4, 2023

With a foundation in math, statistics, and programming, learning Generative AI requires dedication and patience as the technology evolves. Generative AI harnesses deep learning algorithms to generate human-like data in response to user input. Back to basics: What is Generative AI?

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Pickl AI

AUGUST 1, 2024

Summary : Deep Learning engineers specialise in designing, developing, and implementing neural networks to solve complex problems. Introduction Deep Learning engineers are specialised professionals who design, develop, and implement Deep Learning models and algorithms.

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Dataconomy

MAY 29, 2023

Explanation of AI and ML Artificial Intelligence (AI) refers to a field within computer science dedicated to the creation of intelligent machines, capable of executing tasks typically requiring human intelligence. These algorithms allow AI systems to recognize patterns, forecast outcomes, and adjust to new situations.

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Flipboard

NOVEMBER 21, 2024

The use of time lapse systems (TLS) in In Vitro Fertilization (IVF) labs to record developing embryos has paved the way for deep-learning based computer vision algorithms to assist embryologists in their morphokinetic evaluation.

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Dataconomy

FEBRUARY 27, 2025

Background and interdisciplinary approach Various disciplines contribute to the development and understanding of neuromorphic computing. Current projects focus on refining hardware and algorithms to maximize energy efficiency and processing capabilities in neuromorphic systems.

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Dataconomy

JANUARY 8, 2024

AI, or artificial intelligence, is a broad field of computer science that seeks to create intelligent machines capable of performing tasks typically requiring human intelligence. It’s not a single technology, but rather a collection of techniques and approaches that allow machines to learn, reason, and act autonomously.

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Flipboard

NOVEMBER 5, 2024

It aimed to analyze the value of deep learning algorithm combined with magnetic resonance imaging (MRI) in the risk diagnosis and prognosis of endometrial cancer (EC).

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Data Science Dojo

JULY 23, 2024

Yoshua Bengio : Contributions : A co-winner of the Turing Award, Bengio has suggested that achieving AGI requires giving computers common sense and causal inference capabilities. Impact : His research has significantly influenced the development of deep learning and its applications in understanding human-like intelligence.

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PyImageSearch

JANUARY 2, 2023

This blog will cover the benefits, applications, challenges, and tradeoffs of using deep learning in healthcare. Computer Vision and Deep Learning for Healthcare Benefits Unlocking Data for Health Research The volume of healthcare-related data is increasing at an exponential rate.

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Deep Learning Deep Learning Machine Learning Machine Learning 52

Towards AI

JANUARY 6, 2025

Professional certificate for computer science for AI by HARVARD UNIVERSITY Professional certificate for computer science for AI is a 5-month AI course that is inclusive of self-paced videos for participants; who are beginners or possess intermediate-level understanding of artificial intelligence.

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Artificial Intelligence Artificial Intelligence AI AI 105

Pickl AI

JULY 18, 2023

With technological developments occurring rapidly within the world, Computer Science and Data Science are increasingly becoming the most demanding career choices. Moreover, with the oozing opportunities in Data Science job roles, transitioning your career from Computer Science to Data Science can be quite interesting.

Computer Science 52

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AWS Machine Learning Blog

FEBRUARY 29, 2024

Large-scale deep learning has recently produced revolutionary advances in a vast array of fields. is a startup dedicated to the mission of democratizing artificial intelligence technologies through algorithmic and software innovations that fundamentally change the economics of deep learning. and PyTorch 2.0

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NYU Center for Data Science

JANUARY 25, 2024

Andrew Wilson (Associate Professor of Computer Science and Data Science) “ A Performance-Driven Benchmark for Feature Selection in Tabular Deep Learning ” by Valeriia Cherepanova, Roman Levin, Gowthami Somepalli, Jonas Geiping, C.

Computer Science 98

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PyImageSearch

OCTOBER 14, 2024

This is an idea many Computer Vision Engineers totally miss — because they’re so focused on image processing, Deep Learning, and OpenCV that they forget to take the time to understand cameras, geometry, calibration, and everything that really draws the line between a beginner Computer Vision Engineer, and an Intermediate one.

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Deep Learning Deep Learning Algorithm Computer Science 120

ODSC - Open Data Science

FEBRUARY 17, 2023

Developing NLP tools isn’t so straightforward, and requires a lot of background knowledge in machine & deep learning, among others. Machine & Deep Learning Machine learning is the fundamental data science skillset, and deep learning is the foundation for NLP.

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PyImageSearch

JUNE 12, 2023

Home Table of Contents DETR Breakdown Part 2: Methodologies and Algorithms The DETR Model ?️ Summary Citation Information DETR Breakdown Part 2: Methodologies and Algorithms In this tutorial, we’ll learn about the methodologies applied in DETR. 2020) propose the following algorithm. Optimal Bipartite Matching ?

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Algorithm Deep Learning Deep Learning Computer Science 62

ODSC - Open Data Science

FEBRUARY 2, 2023

Just as a writer needs to know core skills like sentence structure, grammar, and so on, data scientists at all levels should know core data science skills like programming, computer science, algorithms, and so on. This will lead to algorithm development for any machine or deep learning processes.

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ODSC - Open Data Science

APRIL 20, 2023

Deep Learning Approaches to Sentiment Analysis (with spaCy!) In this post, we’ll be demonstrating two deep learning approaches to sentiment analysis, specifically using spaCy. Six Core Competencies Data Scientists Need to Succeed in Their Careers Data scientists need to know more than just algorithms to succeed.

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Deep Learning Deep Learning Data Science Machine Learning 52

Flipboard

MAY 5, 2025

IntersectionZoo, a benchmarking tool, uses a real-world traffic problem to test progress in deep reinforcement learning algorithms. If theres one

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Algorithm Deep Learning Deep Learning Computer Science 174

Dataconomy

JANUARY 23, 2024

The field of artificial intelligence grew popular with the dawn of computers and sci-fi media. Fantasy is quickly becoming a reality as more companies and computer science-related studies are shifting their focus to artificial intelligence and developing them.

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Dataconomy

MARCH 6, 2024

The programs and algorithms that instruct and teach AI models how to learn and think are all designed and written by software engineers. Deep learning models recognize complex patterns in sound, pictures and text, producing accurate insights and predictions and automating tasks that typically require human input.

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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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PyImageSearch

OCTOBER 28, 2024

One day, I was looking for an email idea while writing my daily self-driving car newsletter , when I was suddenly caught by the news: Tesla had released a new FSD12 model based on End-to-End Learning. And it was because not only was the new model fully based on Deep Learning, but it also effectively removed 300,000 lines of code.

Deep Learning 109

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Towards AI

AUGUST 24, 2023

Common mistakes and misconceptions about learning AI/ML Markus Spiske on Unsplash A common misconception of beginners is that they can learn AI/ML from a few tutorials that implement the latest algorithms, so I thought I would share some notes and advice on learning AI. Trying to code ML algorithms from scratch.

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DrivenData Labs

MAY 18, 2023

How did you get started in data science? I was first introduced to the field of AI during my BSc studies in Computer Science at the Athens University of Economics and Business.

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PyImageSearch

MARCH 3, 2025

This branch of mathematics is particularly important in the context of optimization algorithms, which are used to fine-tune machine learning models to achieve the best possible performance. This important property is the basis of all gradient-based optimization algorithms in machine learning (as we will see later in this post).

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