Marktechpost

DECEMBER 16, 2023

” This innovative code, which simulates spiking neural networks inspired by the brain’s efficient data processing methods, originates from the efforts of a team at UC Santa Cruz. This publication offers candid insights into the convergence of neuroscience principles and deep learning methodologies.

Neural Network 113

Neural Network Deep Learning Python Artificial Intelligence 113

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.

Neural Network 52

Neural Network Convolutional Neural Networks Machine Learning Data Scientist 52

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.

Neural Network 96

Neural Network Auto-classification NLP Natural Language Processing 96

Unite.AI

MARCH 24, 2024

It involves an AI model capable of absorbing instructions, performing the described tasks, and then conversing with a ‘sister' AI to relay the process in linguistic terms, enabling replication. 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

AI Weekly

SEPTEMBER 26, 2024

AI image generators, however, are even more fun because they can take a simple prompt and generate a visual representation of whatever you're imagining. techxplore.com Alibaba Cloud unleashes over 100 open-source AI models Alibaba Cloud has open-sourced more than 100 of its newly-launched AI models, collectively known as Qwen 2.5.

Neural Network 199

Neural Network Robotics Artificial Intelligence Artificial Intelligence 199

NVIDIA

NOVEMBER 14, 2024

A generative AI model can now predict the answer. Researchers from the Weizmann Institute of Science, Tel Aviv-based startup Pheno.AI and NVIDIA led the development of GluFormer , an AI model that can predict an individual’s future glucose levels and other health metrics based on past glucose monitoring data.

AI Modeling 98

AI Modeling Neural Network AI AI 98

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.

Neural Network 122

Neural Network Data Scarcity Artificial Intelligence Artificial Intelligence 122

Unite.AI

OCTOBER 22, 2024

From recommending products online to diagnosing medical conditions, AI is everywhere. However, there is a growing problem of efficiency that researchers and developers are working hard to solve. As AI models become more complex, they demand more computational power, putting a strain on hardware and driving up costs.

Neural Network 147

Neural Network Convolutional Neural Networks Deep Learning Natural Language Processing 147

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.

Deep Learning 128

Deep Learning AI Modeling Neural Network Machine Learning 128

Marktechpost

MARCH 4, 2024

Efficiency of Large Language Models (LLMs) is a focal point for researchers in AI. A groundbreaking study by Qualcomm AI Research introduces a method known as GPTVQ, which leverages vector quantization (VQ) to enhance the size-accuracy trade-off in neural network quantization significantly.

Machine Learning 132

Machine Learning AI Researcher AI Research Large Language Models 132

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.

AI Modeling 98

AI Modeling Neural Network Computer Vision Deep Learning 98

Marktechpost

OCTOBER 28, 2024

An AI playground is an interactive platform where users can experiment with AI models and learn hands-on, often with pre-trained models and visual tools, without extensive setup. It’s ideal for testing ideas, understanding AI concepts, and collaborating in a beginner-friendly environment.

Neural Network 111

Neural Network Natural Language Processing Deep Learning Machine Learning 111

AI Weekly

SEPTEMBER 12, 2024

In recent years, the world has gotten a firsthand look at remarkable advances in AI technology, including OpenAI's ChatGPT AI chatbot, GitHub's Copilot AI code generation software and Google's Gemini AI model. Register now dotai.io update and beyond. You can also subscribe via email.

Convolutional Neural Networks 215

Convolutional Neural Networks Robotics Neural Network Artificial Intelligence 215

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.

Convolutional Neural Networks 208

Convolutional Neural Networks ChatGPT Robotics AI Modeling 208

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.

Neural Network 111

Neural Network AI Modeling Computer Vision AI 111

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.

Deep Learning 140

Deep Learning Neural Network Explainability Artificial Intelligence 140

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?

AI Research 111

AI Research AI Researcher Natural Language Processing Neural Network 111

Unite.AI

JANUARY 12, 2024

Competitions also continue heating up between companies like Google, Meta, Anthropic and Cohere vying to push boundaries in responsible AI development. The Evolution of AI Research As capabilities have grown, research trends and priorities have also shifted, often corresponding with technological milestones.

Generative AI 189

Generative AI Neural Network ChatGPT OpenAI 189

Marktechpost

JUNE 22, 2023

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. How can we describe the terms “understanding” and “knowing” for AI models? So how do we approach this dilemma? Check Out The Paper.

AI Researcher 111

AI Researcher AI Research ChatGPT LLM 111

Marktechpost

DECEMBER 16, 2023

Researchers aim to reduce the energy consumption that can be removed without throughput loss in large language model training. Balancing every stage is impossible as Deep Neural Networks(DNN) are coarse-grained tensor operations with varying amounts of computation. If you like our work, you will love our newsletter.

Machine Learning 128

Machine Learning Large Language Models AI Modeling Neural Network 128

Marktechpost

SEPTEMBER 12, 2023

It leverages the capabilities of deep learning models, such as Generative Adversarial Networks (GANs) and Convolutional Neural Networks (CNNs). This AI Model Uses Image-to-Image Translation to Bring Ancient Fossils to Life appeared first on MarkTechPost. If you like our work, you will love our newsletter.

Convolutional Neural Networks 137

Convolutional Neural Networks AI Modeling Computer Vision Neural Network 137

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. You can also subscribe via email.

Neural Network 180

Neural Network Robotics Big Data Machine Learning 180

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.

AI Modeling 124

AI Modeling Neural Network Natural Language Processing Deep Learning 124

AI Weekly

AUGUST 10, 2023

engadget.com Ethics AI: Elsevier Releases ‘Scopus AI’ for Researchers The Elsevier Scopus research database has released ‘Scopus AI’ for scholarly writers to explore, promising speed and responsibility. We speak around 6,500 languages, and they're all easier to translate than what comes out of a finch.

Neural Network 215

Neural Network Natural Language Processing Robotics Deep Learning 215

Unite.AI

MAY 6, 2024

Unlike many traditional AI models that depend solely on neural networks , LAMs utilize a hybrid approach combining neuro-symbolic programming. This integration of symbolic programming aids in logical reasoning and planning, while neural networks contribute to recognizing complex sensory patterns.

Neural Network 312

Neural Network AI AI Automation 312

Marktechpost

NOVEMBER 13, 2023

To address these issues, a model that can efficiently and effectively utilize the temporal context of the complete object trajectory must be designed. This could be more efficient since features are repeatedly retrieved from the same frame for several overlapping windows. If you like our work, you will love our newsletter.

Auto-complete 126

Auto-complete AI Modeling Neural Network AI 126

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.

Neural Network 131

Neural Network Large Language Models Chatbots AI Modeling 131

Marktechpost

NOVEMBER 21, 2023

Their pioneering breakthrough, named Senseiver, showcases a neural network that achieves a remarkable feat: representing extensive data with minimal computational resources. The team developed a neural network that allows them to represent a large system in a very compact way.

Convolutional Neural Networks 105

Convolutional Neural Networks Neural Network Artificial Intelligence Artificial Intelligence 105

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.

LLM 218

LLM Large Language Models Big Data Neural Network 218

Unite.AI

JUNE 4, 2024

Anthropic researchers have recently made a breakthrough in enhancing LLM transparency. Their method uncovers the inner workings of LLMs' neural networks by identifying recurring neural activities during response generation. Furthermore, this advancement opens new avenues for AI research and development.

Large Language Models 221

Large Language Models Neural Network LLM Explainability 221

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.

Data Drift 246

Data Drift AI AI AI Modeling 246

Marktechpost

JANUARY 11, 2024

[link] The central challenge in generative AI is developing models that can effectively mimic complex human cognitive abilities and handle diverse data types, including language, images, and sound. AI research’s complexity and volume necessitate efficient methods for synthesizing and evaluating the expanding knowledge landscape.

Neural Network 105

Neural Network Generative AI AI Researcher AI Research 105

Marktechpost

SEPTEMBER 10, 2023

The usage of well-developed deep neural networks in natural language processing is made possible by recasting retrosynthesis analysis as a machine translation problem. The post Predicting Retrosynthesis in a Single Step by Incorporating chemists’ Insights with AI Models appeared first on MarkTechPost.

AI Modeling 110

AI Modeling Neural Network Natural Language Processing AI 110

Marktechpost

JULY 6, 2023

Image segmentation has come a long way in the last decade, thanks to the advancement in neural networks. Don’t forget to join our 25k+ ML SubReddit , Discord Channel , and Email Newsletter , where we share the latest AI research news, cool AI projects, and more.

AI Modeling 105

AI Modeling Neural Network Robotics AI Tools 105

Marktechpost

JULY 22, 2023

It wasn’t long before diffusion models became the go-to method for generating images. Diffusion models, also known as denoising diffusion models, belong to a class of generative neural networks. All Credit For This Research Goes To the Researchers on This Project. The post What Did You Feed On?

AI Modeling 98

AI Modeling Neural Network AI AI 98

Marktechpost

OCTOBER 21, 2024

Artificial intelligence (AI) and machine learning (ML) revolve around building models capable of learning from data to perform tasks like language processing, image recognition, and making predictions. A significant aspect of AI research focuses on neural networks, particularly transformers.

Machine Learning 64

Machine Learning Neural Network Inference Engine Natural Language Processing 64

Marktechpost

AUGUST 15, 2023

Neural networks have advanced quite significantly in recent years, and they have found themselves a use case in almost all applications. One of the most interesting use cases is the 3D modeling of the real world. These advancements opened a whole new page in 3D surface reconstruction.

AI Modeling 98

AI Modeling Neural Network Robotics AI 98