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Deep Neural Networks (DNNs) have succeeded greatly in several fields, including advertising systems, computer vision, and natural language processing. Large models with lots of...

A DeepMind AI system called AlphaFold predicts the three-dimensional structure of proteins based on their amino acid composition. Since they were made available to...

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...

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...

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

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

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...

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...

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...

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...

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...

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...

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...

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

Artificial intelligence (AI) applications have a significant impact on our daily lives, making them easier. One of such applications is AI bots that are...

The Chinese technology company launched the latest version of Baidu's open AI platform, Baidu Brain 7.0. They also announced that Kunlun II AI chips...

Painting has been an excellent way for people to record what they perceive or even how they imagine about the world. It's long been...

Baidu researchers published a paper on the 3.0 version of Enhanced Language RepresentatioN with Informative Entities (ERNIE), a deep-learning model for natural language processing...

Baidu Research Robotics and RAL (Auto-Driving Lab), along with the University of Maryland, College Park, have introduced a new benchmark in robotics. An autonomous...

Baidu Brain, a Chinese core AI technology engine, announces the release of PaddlePaddle 2.0. PaddlePaddle (PArallel Distributed Deep LEarning)) is an open-sourced AI platform...

The Baidu team is excited to present ERNIE-M as a new multilingual model capable of understanding 96 languages. ERNIE-M is also a new training method capable...