AI News

DECEMBER 15, 2023

In an interview at AI & Big Data Expo , Alessandro Grande, Head of Product at Edge Impulse , discussed issues around developing machine learning models for resource-constrained edge devices and how to overcome them. The end-to-end development platform seamlessly integrates with all major cloud and ML platforms.

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ML @ CMU

JANUARY 2, 2025

Motivation Despite the tremendous success of AI in recent years, it remains true that even when trained on the same data, the brain outperforms AI in many tasks, particularly in terms of fast in-distribution learning and zero-shot generalization to unseen data. In the emerging field of neuroAI ( Zador et al.,

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Marktechpost

JANUARY 13, 2024

The challenge of interpreting the workings of complex neural networks, particularly as they grow in size and sophistication, has been a persistent hurdle in artificial intelligence. The traditional methods of explaining neural networks often involve extensive human oversight, limiting scalability.

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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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Marktechpost

SEPTEMBER 3, 2024

Recent neural architectures remain inspired by biological nervous systems but lack the complex connectivity found in the brain, such as local density and global sparsity. Researchers from Microsoft Research Asia introduced CircuitNet, a neural network inspired by neuronal circuit architectures.

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Unite.AI

SEPTEMBER 21, 2023

The crossover between artificial intelligence (AI) and blockchain is a growing trend across various industries, such as finance, healthcare, cybersecurity, and supply chain. According to Fortune Business Insights, the global AI and blockchain market value is projected to grow to $930 million by 2027 , compared to $220.5

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Marktechpost

MAY 28, 2024

Traditionally, Recurrent Neural Networks (RNNs) have been used for their ability to process sequential data efficiently despite their limitations in parallel processing. Rapid machine learning advancement has highlighted existing models’ limitations, particularly in resource-constrained environments.

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AI Weekly

SEPTEMBER 12, 2024

Join the AI conversation and transform your advertising strategy with AI weekly sponsorship aiweekly.co In the News AI Stocks: The 10 Best AI Companies Artificial intelligence, automation and robotics are disrupting virtually every industry. Powered by dotai.io Welcome Interested in sponsorship opportunities?

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Unite.AI

OCTOBER 27, 2024

As artificial intelligence continues to reshape the tech landscape, JavaScript acts as a powerful platform for AI development, offering developers the unique ability to build and deploy AI systems directly in web browsers and Node.js environments. LangChain.js TensorFlow.js TensorFlow.js environments. What distinguishes TensorFlow.js

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Marktechpost

AUGUST 4, 2024

Representational similarity measures are essential tools in machine learning, used to compare internal representations of neural networks. These measures help researchers understand learning dynamics, model behaviors, and performance by providing insights into how different neural network layers and architectures process information.

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Marktechpost

SEPTEMBER 6, 2024

Spiking Neural Networks (SNNs), a family of artificial neural networks that mimic the spiking behavior of biological neurons, have been in discussion in recent times. These networks provide a fresh method for working with temporal data, identifying the complex relationships and patterns seen in sequences.

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Marktechpost

OCTOBER 18, 2024

Deep neural networks are powerful tools that excel in learning complex patterns, but understanding how they efficiently compress input data into meaningful representations remains a challenging research problem. Don’t Forget to join our 50k+ ML SubReddit. If you like our work, you will love our newsletter.

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Marktechpost

JANUARY 23, 2024

There are two major challenges in visual representation learning: the computational inefficiency of Vision Transformers (ViTs) and the limited capacity of Convolutional Neural Networks (CNNs) to capture global contextual information. Join our 36k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and LinkedIn Gr oup.

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Unite.AI

NOVEMBER 6, 2023

In recent years, Generative AI has shown promising results in solving complex AI tasks. Modern AI models like ChatGPT , Bard , LLaMA , DALL-E.3 Moreover, Multimodal AI techniques have emerged, capable of processing multiple data modalities, i.e., text, images, audio, and videos simultaneously. What are its Limitations?

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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! Welcome Interested in sponsorship opportunities? politico.eu

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Marktechpost

SEPTEMBER 17, 2024

In deep learning, neural network optimization has long been a crucial area of focus. Training large models like transformers and convolutional networks requires significant computational resources and time. Optimizing the training process is critical for deploying AI applications more quickly and efficiently.

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Marktechpost

JUNE 30, 2024

Deep learning models like Convolutional Neural Networks (CNNs) and Vision Transformers achieved great success in many visual tasks, such as image classification, object detection, and semantic segmentation. Join our Telegram Channel and LinkedIn Gr oup. If you like our work, you will love our newsletter.

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AI Weekly

JULY 13, 2023

In the News Elon Musk unveils new AI company set to rival ChatGPT Elon Musk, who has hinted for months that he wants to build an alternative to the popular ChatGPT artificial intelligence chatbot, announced the formation of what he’s calling xAI, whose goal is to “understand the true nature of the universe.” Powered by pluto.fi theage.com.au

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Marktechpost

JULY 26, 2024

Sparsity in neural networks is one of the critical areas being investigated, as it offers a way to enhance the efficiency and manageability of these models. By focusing on sparsity, researchers aim to create neural networks that are both powerful and resource-efficient. Check out the Paper.

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Unite.AI

MARCH 15, 2024

In 2023, the competition in the AI sector reached unprecedented heights, fueled by real, mind-bending breakthroughs. In the ever-evolving landscape of the tech industry, Nvidia continues to solidify its position as the key player in AI infrastructure. Challenging Nvidia, with its nearly $1.5

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AI News

JULY 27, 2023

Gcore has joined forces with UbiOps and Graphcore to introduce a groundbreaking service catering to the escalating demands of modern AI tasks. This strategic partnership aims to empower AI teams with powerful computing resources on-demand, enhancing their capabilities and streamlining their operations.

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Marktechpost

JUNE 9, 2024

Explainable AI (xAI) methods, such as saliency maps and attention mechanisms, attempt to clarify these models by highlighting key ECG features. xECGArch uniquely separates short-term (morphological) and long-term (rhythmic) ECG features using two independent Convolutional Neural Networks CNNs.

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Marktechpost

SEPTEMBER 10, 2024

The intersection of computational physics and machine learning has brought significant progress in understanding complex systems, particularly through neural networks. Traditional neural networks, including many adapted to consider Hamiltonian properties, often need help with these systems’ high dimensionality and complexity.

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Marktechpost

APRIL 17, 2024

Don’t Forget to join our 40k+ ML SubReddit Want to get in front of 1.5 Million AI Audience? Work with us here The post Google AI Proposes TransformerFAM: A Novel Transformer Architecture that Leverages a Feedback Loop to Enable the Neural Network to Attend to Its Latent Representations appeared first on MarkTechPost.

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Unite.AI

AUGUST 28, 2024

The company implements AI to the task of preventing and detecting malware. The term “AI” is broadly used as a panacea to equip organizations in the battle against zero-day threats. ML is unfit for the task. Not all AI is equal. Unlike ML, DL is built on neural networks, enabling it to self-learn and train on raw data.

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Marktechpost

OCTOBER 4, 2024

Evaluated Models Ready Tensor’s benchmarking study categorized the 25 evaluated models into three main types: Machine Learning (ML) models, Neural Network models, and a special category called the Distance Profile model. Prominent models include Long-Short-Term Memory (LSTM) and Convolutional Neural Networks (CNN).

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Unite.AI

SEPTEMBER 4, 2024

Aman Sareen is the CEO of Aarki , an AI company that delivers advertising solutions that drive revenue growth for mobile app developers. What key experiences have shaped your approach to AI and AdTech? Think of it as the precursor to the hyper-localized, AI-driven targeting we see today.

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Marktechpost

FEBRUARY 21, 2024

Graph-based machine learning is undergoing a significant transformation, largely propelled by the introduction of Graph Neural Networks (GNNs). These networks have been pivotal in harnessing the complexity of graph-structured data, offering innovative solutions across various domains.

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Marktechpost

OCTOBER 7, 2024

Recurrent neural networks (RNNs) have been foundational in machine learning for addressing various sequence-based problems, including time series forecasting and natural language processing. The post Revisiting Recurrent Neural Networks RNNs: Minimal LSTMs and GRUs for Efficient Parallel Training appeared first on MarkTechPost.

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Marktechpost

DECEMBER 28, 2024

Additionally, current approaches assume a one-to-one mapping between input samples and their corresponding optimized weights, overlooking the stochastic nature of neural network optimization. It uses a hypernetwork, which predicts the parameters of the task-specific network at any given optimization step based on an input condition.

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AI Weekly

MARCH 21, 2024

Powered by global.ntt In the News 3 tech pioneers on the biggest AI breakthroughs – and what they expect will come next Three leading experts in AI spoke to the World Economic Forum in a series of interviews. com Africa’s push to regulate AI starts now AI is expanding across the continent and new policies are taking shape.

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IBM Journey to AI blog

DECEMBER 20, 2023

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. However, the growing influence of ML isn’t without complications.

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Marktechpost

OCTOBER 16, 2024

A team of researchers from Huazhong University of Science and Technology, hanghai Jiao Tong University, and Renmin University of China introduce IGNN-Solver, a novel framework that accelerates the fixed-point solving process in IGNNs by employing a generalized Anderson Acceleration method, parameterized by a small Graph Neural Network (GNN).

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Marktechpost

AUGUST 5, 2024

This model incorporates a static Convolutional Neural Network (CNN) branch and utilizes a variational attention fusion module to enhance segmentation performance. Hausdorff Distance Using Convolutional Neural Network CNN and ViT Integration appeared first on MarkTechPost. Dice Score and 27.10 Dice Score and 27.10

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Marktechpost

JANUARY 5, 2024

Also, don’t forget to join our 35k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , LinkedIn Gr oup , Twitter , and Email Newsletter , where we share the latest AI research news, cool AI projects, and more. If you like our work, you will love our newsletter.

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IBM Journey to AI blog

FEBRUARY 14, 2024

When thinking of artificial intelligence (AI) use cases, the question might be asked: What won’t AI be able to do? The easy answer is mostly manual labor, although the day might come when much of what is now manual labor will be accomplished by robotic devices controlled by AI. We’re all amazed by what AI can do.

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AI Weekly

SEPTEMBER 14, 2023

Powered by attention.tech In the News TIME100 AI list : 100 most influential people in AI This group of 100 individuals is in many ways a map of the relationships and power centers driving the development of AI. This AI wizard can: Automatically log in crucial info into your CRM. Updating your CRM. Writing emails.

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