Marktechpost

JUNE 22, 2024

Neural networks, despite their theoretical capability to fit training sets with as many samples as they have parameters, often fall short in practice due to limitations in training procedures. Convolutional networks, while more parameter-efficient than MLPs and ViTs, do not fully leverage their potential on randomly labeled data.

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Neural Network AI Research AI Researcher Algorithm 131

AI Weekly

OCTOBER 10, 2024

Join the AI conversation and transform your advertising strategy with AI weekly sponsorship aiweekly.co reuters.com Sponsor Personalize your newsletter about AI Choose only the topics you care about, get the latest insights vetted from the top experts online! Department of Justice. You can also subscribe via email.

AI Research 278

AI Research AI Researcher Robotics Artificial Intelligence 278

Unite.AI

APRIL 8, 2025

A Legacy Written in Code Canadas roots in AI date back to the 1980s, when Geoffrey Hinton arrived at the University of Toronto , supported by early government grants that allowed unconventional work on neural networks. In 2012, Hintons lab stunned the AI community by using neural networks to crush image-recognition benchmarks.

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Marktechpost

DECEMBER 15, 2023

Complex tasks like text or picture synthesis, segmentation, and classification are being successfully handled with the help of neural networks. However, it can take days or weeks to obtain adequate results from neural network training due to its computing demands. If you like our work, you will love our newsletter.

Neural Network 128

Neural Network Machine Learning Algorithm Deep Learning 128

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

Unite.AI

OCTOBER 18, 2024

The 2024 Nobel Prizes have taken many by surprise, as AI researchers are among the distinguished recipients in both Physics and Chemistry. Hopfield received the Nobel Prize in Physics for their foundational work on neural networks. Geoffrey Hinton and John J.

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Marktechpost

OCTOBER 16, 2023

In a recent paper, “Towards Monosemanticity: Decomposing Language Models With Dictionary Learning,” researchers have addressed the challenge of understanding complex neural networks, specifically language models, which are increasingly being used in various applications. Join our AI Channel on Whatsapp.

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Neural Network Large Language Models AI AI 126

Marktechpost

FEBRUARY 4, 2024

Meta-learning, a burgeoning field in AI research, has made significant strides in training neural networks to adapt swiftly to new tasks with minimal data. This technique centers on exposing neural networks to diverse tasks, thereby cultivating versatile representations crucial for general problem-solving.

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Neural Network Machine Learning Algorithm AI Researcher 143

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 244

Marktechpost

OCTOBER 1, 2023

Researchers have recently developed Temporal Graph Neural Networks (TGNNs) to take advantage of temporal information in dynamic graphs, building on the success of Graph Neural Networks (GNNs) in learning static graph representation. If you like our work, you will love our newsletter.

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AI Weekly

SEPTEMBER 26, 2024

for robotics simulation tech One of the most fundamental breakthroughs at Nvidia has been building processors that power and integrate with highly detailed, compute-intensive graphical simulations, which can be used in a wide range of applications, from games and industrial developments through to AI training.

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Marktechpost

OCTOBER 8, 2023

Yes, the field of study is called Neural networks. Researchers at the University of Copenhagen present a graph neural network type of encoding in which the growth of a policy network is controlled by another network running in each neuron. They call it a Neural Developmental Program (NDP).

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Neural Network Deep Learning Automation Algorithm 128

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.

Convolutional Neural Networks 258

Convolutional Neural Networks Neural Network OpenAI Robotics 258

Marktechpost

OCTOBER 13, 2023

In the realm of deep learning, the challenge of developing efficient deep neural network (DNN) models that combine high performance with minimal latency across a variety of devices remains. Join our AI Channel on Whatsapp. However, this approach tends to overlook optimizing the search space itself. We are also on WhatsApp.

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Neural Network Deep Learning Algorithm Automation 130

Marktechpost

FEBRUARY 28, 2025

Traditional MCMC methods frequently struggle with convergence to equilibrium, leading researchers to combine them with non-equilibrium dynamics through techniques like annealed importance sampling (AIS) or sequential Monte Carlo (SMC).

Neural Network 51

Neural Network Algorithm Deep Learning AI Researcher 51

Marktechpost

DECEMBER 23, 2023

Deep Neural Networks (DNNs) represent a powerful subset of artificial neural networks (ANNs) designed to model complex patterns and correlations within data. These sophisticated networks consist of multiple layers of interconnected nodes, enabling them to learn intricate hierarchical representations.

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Neural Network Machine Learning Natural Language Processing Computer Vision 125

Towards AI

JANUARY 29, 2025

Video Generation: AI can generate realistic video content, including deepfakes and animations. Generative AI is powered by advanced machine learning techniques, particularly deep learning and neural networks, such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs).

AI Engineer 98

AI Engineer Generative AI Neural Network BERT 98

Unite.AI

MARCH 10, 2025

He pointed out that OpenAI despite its cutting-edge neural networks is not a model company; its a product company that happens to have fantastic models , underscoring that true advantage comes from building products around the models. This is the crux of the commoditization debate. OpenAIs own strategy reflects this shift.

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AI Modeling OpenAI AI AI 200

Marktechpost

DECEMBER 11, 2023

Moreover, since the models depend on the knowledge of climate scientists to improve equations, parameterizations, and algorithms, NWP forecast accuracy remains the same with additional data. Using historical data, like the ERA5 reanalysis dataset, deep neural networks are trained to forecast future weather conditions.

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Neural Network Deep Learning Explainability Algorithm 125

Marktechpost

SEPTEMBER 8, 2023

Researchers suggest a new approach to design using heuristic optimization and artificial neural networks to simplify the optimization process drastically. A deep neural network model replaced the 3D electromagnetic simulation of a Si-based MZM. If you like our work, you will love our newsletter.

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Deep Learning Algorithm AI Researcher AI Research 108

AI Weekly

SEPTEMBER 12, 2024

ft.com OpenAI co-founder Sutskever's new safety-focused AI startup SSI raises $1 billion Safe Superintelligence (SSI), newly co-founded by OpenAI's former chief scientist Ilya Sutskever, has raised $1 billion in cash to help develop safe artificial intelligence systems that far surpass human capabilities, company executives told Reuters.

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Convolutional Neural Networks Robotics Neural Network Artificial Intelligence 264

Marktechpost

DECEMBER 3, 2023

There is a steadily growing list of intriguing properties of neural network (NN) optimization that are not readily explained by classical tools from optimization. Likewise, the research team has varying degrees of understanding of the mechanical causes for each. If you like our work, you will love our newsletter.

Neural Network 123

Neural Network Explainability Algorithm AI Researcher 123

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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Neural Network Robotics Artificial Intelligence Artificial Intelligence 264

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 290

Marktechpost

AUGUST 31, 2024

Deep neural network training can be sped up by Fully Quantised Training (FQT), which transforms activations, weights, and gradients into lower precision formats. Researchers have been studying the viability of 1-bit FQT in an endeavor to explore these constraints. Check out the Paper.

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Neural Network AI Researcher AI Research Algorithm 117

Marktechpost

AUGUST 21, 2023

The results of today’s neural networks in fields as diverse as language, mathematics, and vision are remarkable. These networks, however, typically employ elaborate structures that are resource-intensive to run. Each weight in a typical neural network specifies the link between two neurons.

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Neural Network Algorithm AI AI 98

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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Neural Network Auto-classification NLP Natural Language Processing 96

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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Neural Network Robotics ChatGPT Computer Vision 242

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.

Robotics 264

Robotics Computer Vision Artificial Intelligence Artificial Intelligence 264

AI Weekly

FEBRUARY 1, 2024

nytimes.com Ethics Explicit Taylor Swift AI images cause legal panic Last week, explicit images of Taylor Swift created using AI were shared across Twitter (X), with some posts gaining millions of views. Join the AI conversation and transform your advertising strategy with AI weekly sponsorship This RSS feed is published on [link].

Robotics 264

Robotics Artificial Intelligence Artificial Intelligence Software Development 264

AI Weekly

FEBRUARY 20, 2025

nature.com A robust and adaptive controller for ballbots In a recent study, a team has proposed a novel proportional integral derivative controller that, in combination with radial basis function neural network, robustly controls ballbot motion. You can also subscribe via email.

Robotics 130

Robotics Artificial Intelligence Artificial Intelligence Neural Network 130

AssemblyAI

MAY 3, 2023

Thanks to the widespread adoption of ChatGPT, millions of people are now using Conversational AI tools in their daily lives. With these fairly complex algorithms often being described as “giant black boxes” in news and media, a demand for clear and accessible resources is surging.

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Large Language Models Neural Network LLM ChatGPT 363

Marktechpost

DECEMBER 27, 2024

Achieving this efficiently, without retraining the entire model, has been a key focus, particularly for complex models like deep neural networks. All credit for this research goes to the researchers of this project. Trending: LG AI Research Releases EXAONE 3.5: Dont Forget to join our 60k+ ML SubReddit.

Machine Learning 99

Machine Learning Neural Network Algorithm AI Researcher 99

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

Robotics 264

Robotics Artificial Intelligence Artificial Intelligence Neural Network 264

Marktechpost

DECEMBER 13, 2024

Neural networks have become foundational tools in computer vision, NLP, and many other fields, offering capabilities to model and predict complex patterns. This understanding is essential for designing more efficient training algorithms and enhancing the interpretability and robustness of neural networks.

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Marktechpost

DECEMBER 12, 2023

Numerous studies have been put forth to improve the generation quality by applying multiple optimization stages, concurrently optimizing the diffusion before the 3D representation, formulating the score distillation algorithm with greater precision, or improving the specifics of the entire pipeline.

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Neural Network AI AI Algorithm 117

Marktechpost

FEBRUARY 1, 2025

Classical vs. Modern Approaches Classical Symbolic Reasoning Historically, AI researchers focused heavily on symbolic reasoning, where knowledge is encoded as rules or facts in a symbolic language. Some of the most prominent RL algorithms include: Q-Learning: Agents learn a value function Q(s, a) , where s state and a action.

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LLM Robotics Neural Network Large Language Models 104