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Machine learning models, which can contain billions of parameters, require sophisticated methods to fine-tune their performance efficiently. Researchers aim to enhance the accuracy of these models while minimizing the computational resources needed. This improvement is crucial...
Accurate propagation modeling is paramount for effective radio deployments, coverage analysis, and interference mitigation in wireless communications. Path loss modeling, a widely adopted approach, enables generic predictions of signal power attenuation along wireless links, equipping network...

Baidu AI Researchers Propose ERNIE-ViLG 2.0, A Large-Scale Chinese Text-To-Image Diffusion Model That Gradually Improves Image Quality

The text-to-image generation has come a long way in recent years. Text-to-image generation models that use large-scale training data and model parameters can now...

Baidu Proposes ERNIE-VIL 2.0, a Multi-View Contrastive Learning Framework That Aims To Acquire A More Robust Cross-Modal Representation By Concurrently Building Intra-Modal And Inter-Modal...

Vision-Language Pre-training (VLP) models have made significant progress on several cross-modal tasks, such as Visual Question Answering (VQA) and cross-modal retrieval, during the previous...

Baidu and BioMap AI Research Open-Sources HelixFold-Single: An End-To-End MSA-Free Protein Structure Prediction Pipeline

Proteins play crucial roles for an organism and are involved in nearly all biological processes. Studying protein structures and functions can significantly advance the...

Baidu AI Researchers Introduce SE-MoE That Proposes Elastic MoE Training With 2D Prefetch And Fusion Communication Over Hierarchical Storage

Machine learning and deep learning have gained popularity in domains, like computer vision (CV) and natural language processing (NLP), which require analyzing large amounts...

Baidu Researchers Propose a Quantum Self-Attention Neural Network (QSANN) by Introducing the Self-Attention Mechanism to Quantum Neural Networks

This Article Is Based On The Research Paper 'Quantum Self-Attention Neural Networks for Text Classification'. All Credit For This Research Goes To The Researchers...

Baidu AI Research Brings A Significant Upgrade To PaddleOCR’s Open-Source OCR System

This Article Is Based On The Research Article 'PaddleOCR, an Easy-to-Use and Open-Source OCR System, Rolls out Major Upgrade With Improved Accuracy and New...

Baidu Researchers Introduce PP-Matting: A Trimap-Free Architecture That Can Achieve High-Accuracy Natural Image Matting

This Article Is Based On The Research Paper 'PP-Matting: High-Accuracy Natural Image Matting'. All Credit For This Research Goes To The Researchers Of This...

Baidu Researchers Propose PP-YOLOE Object Detector: an Evolved Version of YOLO Achieving SOTA Performance in Object Detection

This research summary is based on the paper 'PP-YOLOE: An evolved version of YOLO' Please don't forget to join our ML Subreddit Object detection is a...

Researchers From China Propose A Pale-Shaped Self-Attention (PS-Attention) And A General Vision Transformer Backbone, Called Pale Transformer

Transformers have recently demonstrated promising performance in a variety of visual tests. Inspired by Transformer's success on a wide range of NLP tasks, Vision...

Baidu And PCL Team Introduce ERNIE 3.0 Titan: A Pre-Training Language Model With 260 Billion Parameters

With recent breakthroughs in AI, humans have become more reliant on AI to address real-world problems. This makes humans' ability to learn and act...

Baidu AI Research Team Introduces ‘PP-ShiTu’: A Practical Lightweight Image Recognition System

The need for image recognition is more evident than ever. It's not just the obvious things like Facebook tagging your photos, but it can...

Baidu Research Introduces PP-LCNet: A Lightweight CPU Convolutional Neural Network With Better Accuracy And Performance

Convolutional neural networks (CNNs) have been used to achieve computer vision applications for the past few years. These networks can be trained and applied...

Snowflake AI Research Team Unveils Arctic: An Open-Source Enterprise-Grade Large Language Model (LLM) with...

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Snowflake AI Research has launched the Arctic, a cutting-edge open-source large language model (LLM) specifically designed for enterprise AI applications, setting a new standard...

Google DeepMind Releases RecurrentGemma: One of the Strongest 2B-Parameter Open Language Models Designed for...

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Language models are the backbone of modern artificial intelligence systems, enabling machines to understand and generate human-like text. These models, which process and predict...

Finally, the Wait is Over: Meta Unveils Llama 3, Pioneering a New Era in...

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Meta has revealed its latest large language model, the Meta Llama 3, which is a major breakthrough in the field of AI. This new model is not just...

TrueFoundry Releases Cognita: An Open-Source RAG Framework for Building Modular and Production-Ready Applications

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The field of artificial intelligence is rapidly evolving, andย takingย a prototype to production stage can be quite challenging. However, TrueFoundry has recently introduced a new...

Meet Zamba-7B: Zyphra’s Novel AI Model That’s Small in Size and Big on Performance

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In the race to create more efficient and powerful AI models, Zyphra has unveiled a significant breakthrough with its new Zamba-7B model. This compact,...

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