Marktechpost

DECEMBER 16, 2023

Trained on a dataset from six UK hospitals, the system utilizes neural networks, X-Raydar and X-Raydar-NLP, for classifying common chest X-ray findings from images and their free-text reports. An NLP algorithm, X-Raydar-NLP, was trained on 23,230 manually annotated reports to extract labels.

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Marktechpost

JULY 15, 2023

Since the emergence of large-scale OT and Wasserstein GANs, machine learning has increasingly embraced using neural networks to solve optimum transport (OT) issues. The theoretical underpinnings of the algorithm make its output more easily understood than competing methods.

Neural Network 52

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Unite.AI

MARCH 24, 2024

The capacity for an AI to intuitively grasp a task from minimal instruction and then articulate its understanding has remained elusive. This gap in AI capabilities highlights the limitations of existing models. These networks emulate the way human neurons transmit electrical signals, processing information through interconnected nodes.

Neural Network 354

Neural Network Robotics Natural Language Processing NLP 354

Mlearning.ai

JULY 17, 2023

How taking inspiration from the brain can help us create Neural Networks. Data Scientists spend a lot of time and resources in improving the architecture of their AI Models. As such, there is a lot of research into figuring out different architectures and how different design decisions impact the performance of models.

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Unite.AI

MAY 2, 2024

Artificial intelligence (AI) has become a fundamental component of modern society, reshaping everything from daily tasks to complex sectors such as healthcare and global communications. As AI technology progresses, the intricacy of neural networks increases, creating a substantial need for more computational power and energy.

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Marktechpost

NOVEMBER 29, 2023

Models that rely on data to follow a vehicle include neural networks, recurrent neural networks, and reinforcement learning. Several limitations exist, though, in the current body of research, as follows: To begin, car-following models are not yet well evaluated because of the absence of standard data formats.

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AI Weekly

JUNE 29, 2023

In the News Next DeepMind's Algorithm To Eclipse ChatGPT IN 2016, an AI program called AlphaGo from Google’s DeepMind AI lab made history by defeating a champion player of the board game Go. The study reveals that 20% of male users are already using AI to improve their online dating experiences. Powered by pluto.fi

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Algorithm ChatGPT Convolutional Neural Networks Robotics 177

AI Weekly

NOVEMBER 23, 2023

forbes.com Applied use cases From Data To Diagnosis: A Deep Learning Approach To Glaucoma Detection When the algorithm is implemented in clinical practice, clinicians collect data such as optic disc photographs, visual fields, and intraocular pressure readings from patients and preprocess the data before applying the algorithm to diagnose glaucoma.

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Marktechpost

OCTOBER 17, 2023

In this research, the authors have redefined the conventional A* search algorithm differently and combined it with a convolutional encoder to create a fully trainable end-to-end neural network planner. Join our AI Channel on Whatsapp. If you like our work, you will love our newsletter. We are also on WhatsApp.

AI Researcher 119

AI Researcher AI Research Neural Network Robotics 119

Marktechpost

SEPTEMBER 1, 2023

Researchers have been exploring behavioral and physiological biometrics for enhancing mobile device security. Incorporating machine learning and deep learning algorithms has shown promise in bolstering security. These methods leverage unique user characteristics like typing patterns and facial features.

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Unite.AI

FEBRUARY 16, 2024

It has been the guiding vision of AI research since the earliest days and remains its most divisive idea. Some AI enthusiasts believe that AGI is inevitable and imminent and will lead to a new technological and social progress era. AGI is not a new concept.

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Marktechpost

JANUARY 14, 2024

Two classifiers, Artificial Neural Network (ANN) and Support Vector Machine (SVM), are used to test the performance of the engineered features in predicting tax fraud. Four algorithms were employed: XGBoost, autoencoders, ANN, and SVM. Notably, the Artificial Neural Network accurately predicted tax fraud.

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Marktechpost

OCTOBER 8, 2023

By utilizing finely developed neural network architectures, we have models that are distinguished by extraordinary accuracy within their respective sectors. Despite their accurate performance, we must still fully understand how these neural networks function. Join our AI Channel on Whatsapp.

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Deep Learning Neural Network Explainability Artificial Intelligence 138

Marktechpost

MAY 1, 2024

Artificial intelligence and machine learning are fields focused on creating algorithms to enable machines to understand data, make decisions, and solve problems. This focus on the efficiency and precision of AI systems remains a central challenge, particularly as the complexity and size of datasets continue to grow.

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AI Weekly

DECEMBER 21, 2023

About two-thirds of Australian employees report using generative AI for work. theconversation.com Stanford : What to Expect in AI in 2024 This past year marked major advances in generative AI as terms like ChatGPT and Bard become household names. yahoo.com Research The AI–quantum computing mash-up: will it revolutionize science?

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Marktechpost

OCTOBER 21, 2023

The model first represents objects’ geometry and shape in the input video using a space carving algorithm and a neural network to learn how to represent the 3D scene from the point cloud. The researchers evaluated the performance of 4K4D on multiple datasets such as DNA-Rendering, ENeRF-Outdoor, etc.

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AI Researcher AI Research Neural Network Computer Vision 117

AssemblyAI

MARCH 21, 2023

While AI systems like ChatGPT or Diffusion models for Generative AI have been in the limelight in the past months, Graph Neural Networks (GNN) have been rapidly advancing. And why do Graph Neural Networks matter in 2023? What is the current role of GNNs in the broader AI research landscape?

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Unite.AI

DECEMBER 14, 2023

The Concept of Adversarial Attacks Adversarial attacks in the realm of AI are a type of cyber threat where attackers deliberately manipulate the input data of an AI system to trick it into making incorrect decisions or classifications. These attacks exploit the inherent weaknesses in the way AI algorithms process and interpret data.

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Marktechpost

OCTOBER 4, 2023

In a groundbreaking development, a team of researchers from the Bioengineering Center and the Computational Health Center at Helmholtz Munich, in collaboration with the Technical University of Munich, has unveiled a deep-learning framework called DeepMB. All Credit For This Research Goes To the Researchers on This Project.

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AI Weekly

JANUARY 25, 2024

Rapid AI innovation has fueled future predictions, as well, including everything from friendly home robots to artificial general intelligence (AGI) within a decade. Join the AI conversation and transform your advertising strategy with AI weekly sponsorship This RSS feed is published on [link]. decrypt.co

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Robotics Artificial Intelligence Artificial Intelligence Neural Network 222

Marktechpost

DECEMBER 28, 2023

Purdue University’s researchers have developed a novel approach, Graph-Based Topological Data Analysis (GTDA), to simplify interpreting complex predictive models like deep neural networks. The method involves constructing a Reeb network, a discretization of topological structures, to simplify data while respecting topology.

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AI Weekly

SEPTEMBER 21, 2023

pitneybowes.com In The News How Google taught AI to doubt itself Today let’s talk about an advance in Bard, Google’s answer to ChatGPT, and how it addresses one of the most pressing problems with today’s chatbots: their tendency to make things up. [Get your FREE eBook.] You can also subscribe via email.

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Marktechpost

JULY 23, 2023

One key area of development is deep learning, where neural networks are trained on huge datasets of images to recognize and classify objects, scenes, and events. Integrating computer vision with other technologies is opening various gates to new potentials and scopes for AI.

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Marktechpost

DECEMBER 5, 2023

One of its primary applications lies in diagnostics, where machine learning algorithms analyze vast datasets, including medical images, genetic information, and patient records, to identify patterns and make accurate predictions. Researchers at the University of Geneva have made a groundbreaking stride in healthcare technology.

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Machine Learning Neural Network Algorithm AI Researcher 97

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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Software Engineer Neural Network Algorithm AI Engineer 92

Marktechpost

JULY 13, 2023

Due to their incredible logical reasoning and numerical analysis methods, researchers try to implement these biological neural network methods into the current artificial neural systems. Neural computation methods involve the RNN in dynamical systems and neural replicas of computer architectures in machine learning.

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AI Weekly

JULY 13, 2023

theguardian.com Sarah Silverman sues OpenAI and Meta claiming AI training infringed copyright The US comedian and author Sarah Silverman is suing the ChatGPT developer OpenAI and Mark Zuckerberg’s Meta for copyright infringement over claims that their artificial intelligence models were trained on her work without permission.

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Marktechpost

SEPTEMBER 10, 2023

The most popular neural network architecture for representing neural continuous spatiotemporal fields, also known as neural fields, is the multi-layer perceptron. Last, ResFields are adaptable, simple to expand, and work with most MLP-based algorithms for spatiotemporal data.

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Marktechpost

DECEMBER 3, 2023

DobbE integrates hardware, models, and algorithms around the Hello Robot Stretch. Throughout 30 days in 10 different homes, DobbE successfully learned 102 out of 109 tasks, proving the effectiveness of simple methods such as behavior cloning with a ResNet model for visual representation and a two-layer neural network for action prediction.

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Marktechpost

JANUARY 18, 2024

GPU Clusters are one such method by which we can fuel these memory-intensive applications and facilitate parallel processing to enable the execution of complex algorithms. Google Brain Project Google Brain Project is primarily based on deep learning and AI research and is powered by GPU Clusters. What are GPU Clusters?

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Neural Network Deep Learning Natural Language Processing Computer Vision 123

Marktechpost

AUGUST 15, 2023

However, despite their uses, accuracy, and sophistication, these machine learning and neural networks can be easily fooled by adversarial attacks, which maliciously tamper their data, causing them to fail surprisingly. This has been a big problem with neural networks challenging their effectiveness and accuracy.

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AI Weekly

MARCH 21, 2024

By analysing the appeal of these tools, we provide a framework for advancing discussions of responsible knowledge production in the age of AI. Join the AI conversation and transform your advertising strategy with AI weekly sponsorship This RSS feed is published on [link].

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Convolutional Neural Networks Robotics Artificial Intelligence Artificial Intelligence 193

Marktechpost

OCTOBER 3, 2023

There is a sizable body of academic literature devoted to scalable content-based algorithms for automatic music tagging in order to offer context. A neural network that has been trained to divide sounds into instrumental and non-instrumental categories is used for this investigation.

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Marktechpost

JUNE 25, 2023

For example, older research for activity recognition frequently employed the Lagrangian viewpoint. However, with the development of neural networks based on 3D spacetime convolution, the Eulerian viewpoint has become the norm in cutting-edge methods like SlowFast Networks.

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AI Researcher AI Research Neural Network AI 98

AI News

JUNE 28, 2023

Upon the completion of the transaction, the entire MosaicML team – including its renowned research team – is expected to join Databricks. MosaicML’s machine learning and neural networks experts are at the forefront of AI research, striving to enhance model training efficiency.

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LLM Large Language Models Big Data Neural Network 191

Pickl AI

APRIL 19, 2024

Ultimately, you will also learn how to become an AI expert and how professional certification courses can help you gain AI skills. Key Takeaways AI encompasses machine learning, neural networks, NLP, and robotics. Vital in healthcare, finance, and transportation, AI offers diverse career opportunities.

Neural Network 52

Neural Network Natural Language Processing Machine Learning Computer Vision 52

Marktechpost

MARCH 23, 2024

AI researchers are taking the game to a new level with geometric deep learning. DeepMind Researchers introduce TacticAI, an AI assistant designed to optimize one of football’s biggest set-piece weapons: the corner kick. It’s being reshaped by an unexpected force: artificial intelligence.

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