Marktechpost

DECEMBER 22, 2023

In recent AI advancements, optimizing large language models (LLMs) has been the most pressing issue. These advanced AI models offer unprecedented capabilities in processing and understanding natural language, yet they come with significant drawbacks. If you like our work, you will love our newsletter.

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Viso.ai

DECEMBER 1, 2023

As Artificial Intelligence (AI) models become more important and widespread in almost every sector, it is increasingly important for businesses to understand how these models work and the potential implications of using them. This guide will provide an overview of AI models and their various applications.

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Marktechpost

NOVEMBER 23, 2023

The highly parameterized nature of complex prediction models makes describing and interpreting the prediction strategies difficult. Researchers have introduced a novel approach using topological data analysis (TDA), to solve the issue. The method is scalable, as demonstrated by its analysis of 1.3 million images in ImageNet.

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Marktechpost

DECEMBER 16, 2023

Researchers from various universities in the UK have developed an open-source artificial intelligence (AI) system, X-Raydar, for comprehensive chest x-ray abnormality detection. The researchers also developed web-based tools, allowing public access to the AI models for real-time chest x-ray interpretation.

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Unite.AI

MAY 30, 2024

Additionally, they are equipped with pre-built algorithms and modules, such as data connectors, APIs, and machine learning models. By lowering technical barriers, these platforms enable more people to contribute to AI development. Examples include Microsoft Power Automate and OutSystems.

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Marktechpost

DECEMBER 31, 2023

Combining RL with deep Neural Networks (NNs) has demonstrated remarkable capabilities for finance. Consequently, a research team from Switzerland and the U.S. He highlighted the necessity for effective data use by stressing the significant amount of data many AI systems consume.

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AI Weekly

AUGUST 24, 2023

digiday.com AI startup Hugging Face hoping to raise millions from Salesforce and other investors AI startup Hugging Face Inc. Snap’s system uses AI to derive emotions from text, and uses that input to help its text-to-speech systems give more realistic output. Let’s explore some of the remarkable use cases of AI in games.

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Marktechpost

OCTOBER 8, 2023

The field of Machine Learning and Artificial Intelligence has become very important. By utilizing finely developed neural network architectures, we have models that are distinguished by extraordinary accuracy within their respective sectors. It isn’t easy to understand how an AI system makes its decisions.

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AI Weekly

DECEMBER 7, 2023

Powered by superai.com In the News Google says new AI model Gemini outperforms ChatGPT in most tests Google has unveiled a new artificial intelligence model that it claims outperforms ChatGPT in most tests and displays “advanced reasoning” across multiple formats, including an ability to view and mark a student’s physics homework.

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AI Weekly

JULY 20, 2023

futurism.com Research A Novel Type of Neural Network Comes to the Aid of Big Physics The machine learning tool is helping physicists with the daunting challenge of analyzing large but nearly empty data sets, like those from neutrino detectors or particle colliders. Turn market trends into lucrative AI Automations

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Marktechpost

NOVEMBER 22, 2023

The demand for smart, customized, and confidential AI is increasing because one model can’t meet the diverse requirements of various users. Even though edge devices often handle deep learning tasks, the training of deep neural networks usually happens on powerful cloud GPU servers.

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AI Weekly

DECEMBER 28, 2023

nytimes.com The AI Trend In Crypto: Best Altcoins And Deep Learning Models The partnership emphasizes generative AI and content recommendation, enabling large-scale, privacy-preserving collaborative training of AI models and the deployment of AI models for personalized content recommendations.

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AI Weekly

JANUARY 18, 2024

We need a careful balance of policies to tap its potential imf.org AI Ethics in the Spotlight: Examining Public Concerns in 2024 In the early days of January 2024, there were discussions surrounding Midjourney, a prominent player in the AI image-generation field.

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Marktechpost

SEPTEMBER 12, 2023

Image-to-image translation (I2I) is an interesting field within computer vision and machine learning that holds the power to transform visual content from one domain into another seamlessly. It leverages the capabilities of deep learning models, such as Generative Adversarial Networks (GANs) and Convolutional Neural Networks (CNNs).

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ODSC - Open Data Science

FEBRUARY 29, 2024

If you’re curious, here are eight AI research labs that are leading the way in AI research that you’d want to keep an eye on. From responsible AI to protein discovery and more, The MIT Media Lab aims to drive AI research to create a “transformative future” while working toward the social good.

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Topbots

DECEMBER 5, 2023

Top 10 AI Research Papers 2023 1. Sparks of AGI by Microsoft Summary In this research paper, a team from Microsoft Research analyzes an early version of OpenAI’s GPT-4, which was still under active development at the time. Sign up for more AI research updates. Enjoy this article?

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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.] Get your FREE eBook.] Get your FREE eBook.]

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AI Weekly

AUGUST 10, 2023

wired.com 47% of Warren Buffett's $375 Billion Portfolio Is Invested in 3 AI Stocks If you've ever wondered why Wall Street professionals and everyday investors pay so much attention to Berkshire Hathaway (BRK.A 1.41%) (BRK.B 1.57%) CEO Warren Buffett, just take a closer look at his track record since taking the reins in 1965.

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AI News

JUNE 28, 2023

Databricks has announced its definitive agreement to acquire MosaicML , a pioneer in large language models (LLMs). This strategic move aims to make generative AI accessible to organisations of all sizes, allowing them to develop, possess, and safeguard their own generative AI models using their own data.

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Marktechpost

JULY 4, 2023

NeRFs capture and model the underlying geometry and appearance information from a collection of multi-view images. By leveraging neural networks, NeRFs offer a data-driven approach that surpasses traditional methods. Some drawbacks of NeRFs limit their applicability in real-world scenarios.

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AI Weekly

AUGUST 31, 2023

Powered by appliedintelligence.live In the News 10 Great Colleges For Studying Artificial Intelligence Interest in AI is on the rise—here are 10 schools that offer undergraduate majors or minors in machine learning and AI. zdnet.com Nvidia’s stock closes at record after Google AI partnership Nvidia shares rose 4.2%

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AI Weekly

FEBRUARY 1, 2024

[Read the blog] global.ntt In The News Google Publish Lumiere: A Breakthrough in AI Video Generation Google has recently introduced Lumiere, a state-of-the-art artificial intelligence (AI) model, signaling a significant technological leap in AI-generated videos. medium.com Generative A.I.’s

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AI Weekly

AUGUST 3, 2023

aljazeera.com How MIT’s Liquid Neural Networks can solve AI problems from robotics to self-driving cars Liquid neural networks can spur new innovations in AI and are particularly exciting in areas where traditional deep learning models struggle, such as robotics and self-driving cars.

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Marktechpost

APRIL 18, 2024

Researchers at Google DeepMind have pioneered this realm, developing sophisticated agents capable of interpreting and acting on complex instructions within various simulated settings. A fundamental issue in this field is the limited capability of AI agents to interact dynamically in three-dimensional spaces.

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Marktechpost

SEPTEMBER 1, 2023

Scaling neural network-based machine learning models has led to recent advances, resulting in models that can generate natural language nearly indistinguishable from that produced by humans. All Credit For This Research Goes To the Researchers on This Project.

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Marktechpost

JUNE 22, 2023

This part happens faster in babies, and as we grow old, our learning process slows down; but the fundamentals stay the same. In contrast, LLMs are disembodied neural networks trained on vast amounts of human-generated text, with the primary objective of predicting the next word or token based on a given context.

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NYU Center for Data Science

DECEMBER 6, 2023

The paper is called “ Human-like systematic generalization through a meta-learning neural network ,” and has been published in Nature. MLC empowers neural networks with systematic compositionality, which is the ability to learn new words and use them in rule-like combinations with other words.

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Marktechpost

SEPTEMBER 7, 2023

This level of precision is comparable to that of the widely used Graph Neural Networks (GNNs), which are used to make predictions of this nature. The post Transforming Catalyst Research: Meet CatBERTa, A Transformer-Based AI Model Designed For Energy Prediction Using Textual Inputs appeared first on MarkTechPost.

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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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Pickl AI

APRIL 19, 2024

Engage in practical projects, seek mentorship, and join AI communities for support and guidance. Continuous learning is critical to becoming an AI expert, so stay updated with online courses, research papers, and workshops. Specialise in domains like machine learning or natural language processing to deepen expertise.

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AI Weekly

AUGUST 17, 2023

nytimes.com 2023 AI glossary AI has the advertising industry bewitched, with agencies and clients alike clamoring to understand what AI can do for their strategies and marketing stunts. yahoo.com Research Novel physics-encoded AI model helps to learn spatiotemporal dynamics Prof.

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Marktechpost

JULY 2, 2023

However, the precise mechanisms behind these processes remain elusive, resulting in a black-box model. Thus, there is a growing demand for explainability methods to interpret decisions made by modern machine learning models, particularly neural networks. Check Out the Paper and Reference Article.

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Marktechpost

NOVEMBER 27, 2023

However, as the AI community delves into the vast landscape of smaller models, Microsoft has introduced the next version of Orca called Orca 2, designed to amplify the capacities of compact AI models. Orca 2’s zero-shot reasoning ability highlights the possibility of improving smaller neural networks.

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NVIDIA

MARCH 21, 2024

Of GTC ’s 900+ sessions, the most wildly popular was a conversation hosted by NVIDIA founder and CEO Jensen Huang with seven of the authors of the legendary research paper that introduced the aptly named transformer — a neural network architecture that went on to change the deep learning landscape and enable today’s era of generative AI.

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Marktechpost

SEPTEMBER 10, 2023

Recently, machine learning-based methods have shown considerable promise in tackling this problem. The usage of well-developed deep neural networks in natural language processing is made possible by recasting retrosynthesis analysis as a machine translation problem.

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Unite.AI

JULY 25, 2023

Production-deployed AI models need a robust and continuous performance evaluation mechanism. This is where an AI feedback loop can be applied to ensure consistent model performance. But, with the meteoric rise of Generative AI , AI model training has become anomalous and error-prone.

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Viso.ai

DECEMBER 21, 2023

Over the past decade, the field of computer vision has experienced monumental artificial intelligence (AI) breakthroughs. We recognize Koller for her groundbreaking contributions to machine learning and probabilistic graphical models. Daphne Koller emphasizes the necessity of machine learning applied to biomedicine.

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